Qlik Introduces Qlik Answers to Transform Unstructured Data into Business Insights

Qlik Introduces Qlik Answers to Transform Unstructured Data into Business Insights

PHILADELPHIA, July 30, 2024 — Qlik, a global leader in data integration, analytics, and artificial intelligence (AI), today announced the general availability of Qlik Answers, its newest self-service AI solution designed to help organizations harness the power of AI by removing the risk, embracing the complexity, and scaling the impact of AI. Qlik Answers transforms unstructured data into actionable results through generative AI, offering full explainability—a common obstacle in enterprise AI adoption.

Qlik Answers combines generative AI with Qlik’s trusted data analytics capabilities to deliver precise, contextually relevant results from extensive unstructured data sources. This solution enables customers to seamlessly integrate AI into their existing Qlik business intelligence workflows, ensuring efficient use of resources and avoiding technical debt.

“Qlik Answers is designed to help businesses use their unstructured data to make better decisions,” said Brendan Grady, Executive Vice President and General Manager of Qlik’s Analytics Business Unit. “This solution integrates our strengths in analytics and data with generative AI, providing users with precise answers to their questions. With Qlik Answers, we are offering a tool that supports the direct translation of unstructured data into tangible business outcomes.”

Key Benefits of Qlik Answers:

AI-Powered Responses: Delivers relevant answers from curated knowledge bases, enhancing the utility of unstructured data. Rapid Deployment: Offers a ready-to-use solution, reducing the time and complexity of deployment. Transparency: Ensures full explainability with answers linked to their source documents, fostering trust and consistency. Broad Connectivity: Integrates with existing systems and platforms, using Qlik’s enterprise connectors to access a variety of unstructured data sources. Enhanced Efficiency: Supports real-time business activities and decisions, enabling users to quickly access relevant information.

“We’re excited to see Qlik focus on unlocking business outcomes from unstructured data with Qlik Answers,” said Stefan Heinz, Senior BI & Analytics Manager at Bystronic Group. “The full explainability and integration with Qlik’s trusted analytics platform promise to drive responsible and effective use of AI at an enterprise level.”

Qlik Answers combines technologies to deliver reliable and efficient access to unstructured data. At its core, the solution uses Retrieval Augmented Generation (RAG), which merges retrieval-based and generative AI methods. This technique dynamically retrieves relevant documents from pre-indexed knowledge bases and generates precise, contextually relevant responses. By leveraging modern generative models, Qlik Answers can interpret and synthesize information from diverse sources, providing users with concise and actionable answers.

To ensure seamless integration with existing systems, Qlik Answers utilizes Qlik’s trusted enterprise connectors. These connectors allow the solution to access a wide range of unstructured data sources without requiring extensive data movement or reconfiguration. This approach not only simplifies deployment but also maintains data integrity and accessibility. Additionally, Qlik Answers is designed with full explainability and transparency in mind. All AI-generated answers are traceable back to their original sources, enabling users to verify and trust the information presented.

Qlik Answers is also self-service oriented, allowing business users to deploy and manage AI-driven knowledge assistants without needing extensive technical expertise or custom development. This ease of use ensures that organizations can quickly benefit from the solution, supporting real-time business activities and enhancing decision-making processes.

To learn more about Qlik Answers and how it can improve your business operations by unlocking the potential of unstructured data, visit Qlik Answers.

About Qlik

Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML and data management. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive.

Source: Qlik

Qlik Introduces Qlik Answers to Transform Unstructured Data into Business Insights

PHILADELPHIA, July 30, 2024 — Qlik, a global leader in data integration, analytics, and artificial intelligence (AI), today announced the general availability of Qlik Answers, its newest self-service AI solution designed to help organizations harness the power of AI by removing the risk, embracing the complexity, and scaling the impact of AI. Qlik Answers transforms unstructured data into actionable results through generative AI, offering full explainability—a common obstacle in enterprise AI adoption.

Qlik Answers combines generative AI with Qlik’s trusted data analytics capabilities to deliver precise, contextually relevant results from extensive unstructured data sources. This solution enables customers to seamlessly integrate AI into their existing Qlik business intelligence workflows, ensuring efficient use of resources and avoiding technical debt.

“Qlik Answers is designed to help businesses use their unstructured data to make better decisions,” said Brendan Grady, Executive Vice President and General Manager of Qlik’s Analytics Business Unit. “This solution integrates our strengths in analytics and data with generative AI, providing users with precise answers to their questions. With Qlik Answers, we are offering a tool that supports the direct translation of unstructured data into tangible business outcomes.”

Key Benefits of Qlik Answers:

AI-Powered Responses: Delivers relevant answers from curated knowledge bases, enhancing the utility of unstructured data. Rapid Deployment: Offers a ready-to-use solution, reducing the time and complexity of deployment. Transparency: Ensures full explainability with answers linked to their source documents, fostering trust and consistency. Broad Connectivity: Integrates with existing systems and platforms, using Qlik’s enterprise connectors to access a variety of unstructured data sources. Enhanced Efficiency: Supports real-time business activities and decisions, enabling users to quickly access relevant information.

“We’re excited to see Qlik focus on unlocking business outcomes from unstructured data with Qlik Answers,” said Stefan Heinz, Senior BI & Analytics Manager at Bystronic Group. “The full explainability and integration with Qlik’s trusted analytics platform promise to drive responsible and effective use of AI at an enterprise level.”

Qlik Answers combines technologies to deliver reliable and efficient access to unstructured data. At its core, the solution uses Retrieval Augmented Generation (RAG), which merges retrieval-based and generative AI methods. This technique dynamically retrieves relevant documents from pre-indexed knowledge bases and generates precise, contextually relevant responses. By leveraging modern generative models, Qlik Answers can interpret and synthesize information from diverse sources, providing users with concise and actionable answers.

To ensure seamless integration with existing systems, Qlik Answers utilizes Qlik’s trusted enterprise connectors. These connectors allow the solution to access a wide range of unstructured data sources without requiring extensive data movement or reconfiguration. This approach not only simplifies deployment but also maintains data integrity and accessibility. Additionally, Qlik Answers is designed with full explainability and transparency in mind. All AI-generated answers are traceable back to their original sources, enabling users to verify and trust the information presented.

Qlik Answers is also self-service oriented, allowing business users to deploy and manage AI-driven knowledge assistants without needing extensive technical expertise or custom development. This ease of use ensures that organizations can quickly benefit from the solution, supporting real-time business activities and enhancing decision-making processes.

To learn more about Qlik Answers and how it can improve your business operations by unlocking the potential of unstructured data, visit Qlik Answers.

About Qlik

Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML and data management. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive.

Source: Qlik

Qlik Introduces Qlik Answers to Transform Unstructured Data into Business Insights

PHILADELPHIA, July 30, 2024 — Qlik, a global leader in data integration, analytics, and artificial intelligence (AI), today announced the general availability of Qlik Answers, its newest self-service AI solution designed to help organizations harness the power of AI by removing the risk, embracing the complexity, and scaling the impact of AI. Qlik Answers transforms unstructured data into actionable results through generative AI, offering full explainability—a common obstacle in enterprise AI adoption.

Qlik Answers combines generative AI with Qlik’s trusted data analytics capabilities to deliver precise, contextually relevant results from extensive unstructured data sources. This solution enables customers to seamlessly integrate AI into their existing Qlik business intelligence workflows, ensuring efficient use of resources and avoiding technical debt.

“Qlik Answers is designed to help businesses use their unstructured data to make better decisions,” said Brendan Grady, Executive Vice President and General Manager of Qlik’s Analytics Business Unit. “This solution integrates our strengths in analytics and data with generative AI, providing users with precise answers to their questions. With Qlik Answers, we are offering a tool that supports the direct translation of unstructured data into tangible business outcomes.”

Key Benefits of Qlik Answers:

AI-Powered Responses: Delivers relevant answers from curated knowledge bases, enhancing the utility of unstructured data. Rapid Deployment: Offers a ready-to-use solution, reducing the time and complexity of deployment. Transparency: Ensures full explainability with answers linked to their source documents, fostering trust and consistency. Broad Connectivity: Integrates with existing systems and platforms, using Qlik’s enterprise connectors to access a variety of unstructured data sources. Enhanced Efficiency: Supports real-time business activities and decisions, enabling users to quickly access relevant information.

“We’re excited to see Qlik focus on unlocking business outcomes from unstructured data with Qlik Answers,” said Stefan Heinz, Senior BI & Analytics Manager at Bystronic Group. “The full explainability and integration with Qlik’s trusted analytics platform promise to drive responsible and effective use of AI at an enterprise level.”

Qlik Answers combines technologies to deliver reliable and efficient access to unstructured data. At its core, the solution uses Retrieval Augmented Generation (RAG), which merges retrieval-based and generative AI methods. This technique dynamically retrieves relevant documents from pre-indexed knowledge bases and generates precise, contextually relevant responses. By leveraging modern generative models, Qlik Answers can interpret and synthesize information from diverse sources, providing users with concise and actionable answers.

To ensure seamless integration with existing systems, Qlik Answers utilizes Qlik’s trusted enterprise connectors. These connectors allow the solution to access a wide range of unstructured data sources without requiring extensive data movement or reconfiguration. This approach not only simplifies deployment but also maintains data integrity and accessibility. Additionally, Qlik Answers is designed with full explainability and transparency in mind. All AI-generated answers are traceable back to their original sources, enabling users to verify and trust the information presented.

Qlik Answers is also self-service oriented, allowing business users to deploy and manage AI-driven knowledge assistants without needing extensive technical expertise or custom development. This ease of use ensures that organizations can quickly benefit from the solution, supporting real-time business activities and enhancing decision-making processes.

To learn more about Qlik Answers and how it can improve your business operations by unlocking the potential of unstructured data, visit Qlik Answers.

About Qlik

Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML and data management. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive.

Source: Qlik

The Coolest Business Analytics Companies Of The 2023 Big Data 100

Part 1 of CRN’s Big Data 100 takes a look at the vendors solution providers should know in the data analytics and business intelligence space.

Analytical Approach

It’s no surprise that in diagrams and visual representations of big data IT systems, data analytics and visualization software are usually at the top of the big data “technology stack.” They are the software tools that business analysts and information workers use to gain understanding and insight from the exponentially growing volumes of data businesses are generating today and to share that knowledge throughout an organization.

Worldwide sales of business intelligence software are expected to reach $25.73 billion this year, up 8.6 percent from $23.70 billion in 2022, and reach $34.16 billion by 2028, according to market research firm Statista.

“Companies’ needs for data insights, customer analyses, and all kinds of business processes have strongly increased due to digitization and data that is collected online. This development drives the demand for enterprise software, especially business intelligence software,” said a Statista report.

As part of the CRN 2023 Big Data 100, we’ve put together the following list of business analytics software companies—from well-established vendors to those in startup mode—that solution providers should be familiar with.

These vendors offer everything from self-service reporting and data visualization tools for nontechnical managers and business users to high-performance business analysis software needed by data analysts to tackle the most complex business intelligence tasks.

This week CRN is running the Big Data 100 list in a series of slide shows, organized by technology category, spotlighting vendors of business analytics software, database systems, data warehouse and data lake systems, data management and integration software, data observability tools, and big data systems and cloud platforms.

Some vendors market big data products that span multiple technology categories. They appear in the slideshow for the technology segment in which they are most prominent.

Ahana

Co-Founder and CEO: Steven Mih

Ahana develops Ahana Cloud for Presto, a software-as-a-service data analytics service based on Presto, the open-source SQL query engine used to query data in a range of data sources including database and data lakehouse systems.

Venture-backed Ahana, founded in 2020 and based in San Mateo, Calif., was acquired by IBM earlier this month. With the acquisition IBM joined the Presto Foundation, part of the Linux Foundation.

Alteryx

CEO: Mark Anderson

Alteryx offers its flagship Alteryx Analytics Automation Platform, a unified data analytics and data science automation system, and the Alteryx Analytics Cloud Platform, along with a number of additional business intelligence, machine learning and developer tools.

In February the company unveiled new self-service and enterprise-grade capabilities to the enterprise edition.

Alteryx executives say the Irvine, Calif.-based company has recorded significant momentum in the channel after undertaking a major expansion of its partner program in 2022 as part of a shift to a more partner-centric sales strategy.

AtScale

CEO: Chris Lynch

AtScale develops semantic layer technology for business intelligence that the company says insulates data consumers from the complexity of working with raw data.

The AtScale software creates a business-oriented data model and virtualizes queries for cloud data platforms such as Amazon Redshift, Snowflake, Google Big Query and Databricks without the need for ETL (extract, transform, load) tools or data movement.

This year AtScale, headquartered in Boston, has expanded its connections to the Databricks platform, including the Databricks Lakehouse for Manufacturing, and achieved the Snowflake Ready Technology Valuation for business intelligence solutions. In April the company introduced code-first data modeling capabilities for its semantic layer platform.

CelerData

CEO: James Li

Startup CelerData markets a high-performance unified analytics platform based on the StarRocks massively parallel processing SQL database for real-time analytics. CelerData’s founders developed StarRocks in 2020 and earlier this year contributed it to the Linux Foundation.

In March CelerData, headquartered in Menlo Park, Calif., took aim at the fast-growing data lakehouse space with a new release of its software with a cloud-native architecture, real-time streaming analytics, and support for open data table formats Hudi, Iceberg and Delta Lake.

Domo

CEO: Josh James

Domo develops its namesake “data experience” platform, a cloud-based, mobile data analytics and visualization system that provides decision makers with real-time business data from a wide range of operational applications and data sources.

In March the American Fork, Utah-based company debuted Domo Cloud Amplifier, which the company says helps users unlock data across multiple cloud platforms using a single virtual layer.

On March 6, Domo said that John Mellor, who served as Domo’s chief strategy officer for three years and then CEO for more than a year, was stepping down and that Josh James, the company’s founder and original CEO, was again assuming the CEO post.

Hitachi Vantara

CEO: Gajen Kandiah

Hitachi Vantara, a wholly-owned subsidiary of Hitachi Ltd., offers a portfolio of data analytics, data storage and data operations products, the latter including data integration, catalog and optimization tools and content intelligence software. The product suite includes the company’s Pentaho data integration and analytics platform.

Incorta

CEO: Osama Elkady

Incorta develops the Open Data Delivery Platform, a system for acquiring, processing and analyzing raw, operational data from business applications in real time. The platform, with Incorta’s Direct Data Mapping technology, connects to more than 240 data sources.

In March, Incorta, based in San Mateo, Calif., joined Google Cloud’s Ready BigQuery and AlloyDB in initiatives, validating its technology for those Google Cloud systems and making it easier for businesses and organizations to move business application and ERP (enterprise resource planning) data into the cloud.

Kyligence

CEO: Luke Han

Kyligence Enterprise, the company’s flagship multi-dimensional analytics platform, is designed to analyze massive datasets with its data modeling, query and processing capabilities. The platform is based on the open-source Apache Kylin distributed OLAP engine that was developed by Kyligence’s founders.

Earlier this month San Jose, Calif.-based Kyligence announced the general availability of Kyligence Zen, an intelligent metrics platform for developing and centralizing all types of data metrics into a unified catalog system.

Kyvos Insights

CEO: Praveen Kankariya

Kyvos Insights offers a data analytics acceleration platform, based on the company’s Smart OLAP technology, that the company says improves the performance of business intelligence tools like Tableau, Google Cloud Looker and Microsoft Power BI.

MicroStrategy

President and CEO: Phong Lee

MicroStrategy is one of the long-time players in the data analytics arena and bills itself as the largest independent, publicly traded business intelligence company. Headquartered in Tysons Corner, Va., MicroStrategy offers its enterprise analytics and embedded analytics platforms as part of the company’s “intelligence everywhere” vision.

In February the company reported that revenue in 2022 was $499.3 million, down more than 2 percent from $510.8 million in 2021.

In addition to its analytics software business, MicroStrategy also acquires and holds Bitcoin and as of the end of 2022 owned 132,500 Bitcoin.

Promethium

CEO: Kaycee Lai

Startup Promethium says that its collaborative data virtualization platform accelerates data analytics projects by eliminating data management and analytics complexity.

Promethium touts its software as a key element for data fabric initiatives that connect an organization’s data for analytics, machine learning and other tasks without the need for traditional ETL tools and approaches.

Pyramid Analytics

CEO: Omri Kohl

Pyramid Analytics describes the company’s Pyramid Decision Intelligence Platform as a fully integrated, no-code, AI-driven system that combines data preparation, data science, and self-service and augmented business analytics capabilities.

The company has been accelerating the expansion of its channel alliances over the last year including establishing partnerships with technology companies, ISVs, VARs, consulting firms and systems integrators. In November the company hired former IBM and Oracle executive Bill Clayton as vice president of global partner sales.

Earlier this month Amsterdam-based Pyramid Analytics said it is expanding into Mexico and Latin America via a series of partner agreements with top regional technology consultants including Analytics Mate, AS Analytics, BACIT, EMC Software C.A. and Hopewell Systems C.A.

Qlik

CEO: Mike Capone

Qlik is one of the leading business analytics providers with its flagship Qlik Sense data analytics, discovery and visualization software.

The company has expanded beyond its core analytics offerings in recent years with a number of savvy acquisitions including data integration tech developer Attunity in 2019 and automated machine learning software developer Big Squid in 2021. Qlik is now in the process of acquiring Talend, a leading provider of data management and integration tools.

In March Qlik launched its Connector Factory initiative to broaden the range of SaaS applications, legacy software and data sources that can link to its data analytics and integration products.

Rockset

CEO: Venkat Venkataramani

Rockset offers a cloud-based search and analytics database service for developing real-time analytical applications that require low-latency, high-concurrency analytical queries and data aggregations. The service is built on the RocksDB real-time indexing database.

In January Rockset said the San Mateo, Calif.- based company recorded exponential growth in 2022, including annual recurring revenue that grew 3.6x during the year and a customer based that more than doubled in size.

Salesforce/Tableau

CEO: Marc Benioff

Tableau Software was one of the industry’s most popular data analytics and visualization tools when cloud application giant Salesforce acquired the company in August 2019 for $15.7 billion.

Since then, Salesforce has been integrating Tableau with its other products, including its Einstein Discovery for predictive analytics and its Slack messaging application.

Earlier this year Tableau was updated with new data mapping capabilities and a new “Data Stories” capability for Tableau Server that uses natural language to automatically create a fully customizable story in narrative form to help business users understand analytical results.

SAS

CEO: Jim Goodnight

SAS is one of the largest and most established companies in the big data space and offers one of the industry’s broadest business analytics product portfolios led by its flagship SAS Viya data analytics, AI and data management platform.

In addition to Viya SAS develops a number of business analytics applications for specific tasks, such as marketing fraud detection and risk management, and for specific industries including banking, insurance, life sciences and retail.

In June 2022, SAS expanded its expertise and technology offerings in financial risk management with its acquisition of Hawaii-based Kamakura and its portfolio of applications for the financial services industry.

Privately held SAS, headquartered in Cary, N.C., is looking to go public over the next year or so and is taking financial and operational steps in preparation for an initial public offering.

Sisense

CEO: Amir Orad

The Sisense business analytics portfolio includes the Sisense Fusion Analytics platform, Sisense Fusion Embed for building analytical capabilities into applications and workflows, and Sisense Infusion Applications that provide data to users of everyday business applications including Microsoft Office 365 and Teams, Google Sheets and Slack.

Starburst

CEO: Justin Borgman

Starburst develops a data analytics platform, Starburst Enterprise, that can analyze huge volumes of data distributed across multiple locations – an alternative to the traditional approach of collecting and consolidating data in a central data warehouse. The company also offers Starburst Galaxy, a fully managed data lake analytics platform for handling petabyte-scale datasets.

The company’s software is built on the open-source Trino distributed SQL query engine. In June 2022 Starburst acquired Varada, an Israeli developer of data lakes acceleration technology. In April the company announced new integration with dbt Cloud, allowing data teams to more easily build data pipelines spanning multiple data sources on one central plane.

In early 2022 Starburst raised $250 million in a Series D funding round that at the time put the startup’s valuation at $3.35 billion.

ThoughtSpot

CEO: Sudheesh Nair

ThoughtSpot is one of the leading vendors in the data analytics space with its search-driven ThoughtSpot Analytics and ThoughtSpot Everywhere software. Earlier this year the company debuted ThoughtSpot Sage, which provides natural language analytics through GPT-3 integration.

Through 2020 and 2021 the company made a major pivot to cloud computing with its Modern Analytics Cloud offering.

In March ThoughtSpot, headquartered in Mountain View, Calif., announced an expanded strategic partnership with Google Cloud under which ThoughtSpot runs natively on the Google Cloud Platform and is integrated with a number of Google Cloud services.

Tibco/Cloud Software Group

CEO: Tom Krause

Tibco offers a portfolio of data management, integration and analytics products assembled through a series of acquisitions and organized as “Connect,” “Unify” and “Predict” products. Tibco Spotfire, for example, is the company’s flagship data analysis software while Tibco Statistica has been renamed Tibco Data Science.

In 2022 Tibco, owned by Vista Equity Partners, was merged with cloud and virtualization tech vendor Citrix Systems (acquired by Vista and Elliott Management affiliate Evergreen Coast Capital) in a $16.5 billion deal to create the Cloud Software Group.

Qlik brings innovative data integration, analytics, and AI Solutions to AWS Summit São Paulo

Qlik will present its newest solutions, showing how companies can efficiently integrate, manage and analyze their data.

Qlik will bring its complete portfolio of innovative solutions and latest releases to AWS Summit São Paulo 2024, an Amazon Web Services (AWS) event that brings together the technology community to connect, collaborate, and debate on key global trends.

The event takes place on August 15 at the Transamerica Expo Center, São Paulo, and experts from Qlik, sponsor of the event, will be available at the company’s booth to show how they can help businesses unlock the power of their data.

“In 2024, one of the main topics that will be addressed at AWS Summit São Paulo is Artificial Intelligence, an emerging technology that is revolutionizing the way companies operate. Qlik has invested heavily to boost the use of Artificial

Intelligence safely and effectively in its customers with the launch of several initiatives and offers with AI and Generative AI, which not only facilitate the implementation of this technology in the market but also promote the development of business for a highly innovative future and in a responsible way”, says Olimpio Pereira, Country Manager, Qlik Brazil.

Qlik will demonstrate its high-performance solutions and projects, which meet the data journey of companies from the collection of information to its integration and analysis – so that they can develop AI-based applications with all the necessary security.

Attendees will be able to learn more about the long-standing partnership between Qlik and AWS. Among the latest joint announcements is the signing of a Strategic Collaboration Agreement with new targeted investments that will simplify the path to trusted and secure enterprise AI by combining Qlik’s solutions with cloud and AWS Generative Artificial Intelligence technologies.

The companies will collaborate on strategic initiatives designed to deliver specific benefits. For example, they will accelerate innovation that enables customers to derive value from Gen AI applications, including seamless integrations with AWS Generative AI services such as Amazon Bedrock. They will enable customers to derive greater value from their SAP data when migrating their data environments, enabling modern solutions that leverage Qlik’s extensive data integration capabilities for SAP and non-SAP data sources.

The collaboration will also further enable compliance with compliance, privacy, and sovereignty requirements in other AWS regions, supporting customer migration and innovation, while adhering to critical regulatory standards such as the Federal Risk and Authorization Management Program (FedRAMP) in the US.

Qlik and AWS will also step up joint marketing and sales efforts with investments designed to accelerate customer success with trusted enterprise AI.

In addition to commenting on the agreement, Qlik executives will be able to showcase other Qlik innovations, such as Qlik Talend Cloud, an integrated and comprehensive solution designed to enhance data trust and accessibility for AI value creation at scale. The solution provides no-code AI-enhanced data integration capabilities for pro-code, enabling businesses to maintain their data integrity and accelerate AI adoption at all levels.

It will also be possible to learn more about Qlik Answers, another new feature of the company.

Qlik Answers is an innovative knowledge assistant powered by Generative AI that transforms the way organizations access and use unstructured data by providing reliable and personalized answers from private and curated enterprise sources, such as knowledge libraries and document repositories.

Thus, the solution provides an efficient path to leverage unstructured data in workflows.

Qlik will also show the AI Accelerator, a service designed to facilitate the adoption of AI by companies. Through a direct path to rapid integration, AI Accelerator enables companies to apply and experiment with AI capabilities with low commitment, to begin exploring the benefits of innovation in a practical and accessible way.

Another innovation that will be present at AWS Summit São Paulo is Qlik Cloud, a data integration and analytics platform powered by Qlik’s AI. The solution, in the Cloud, has the ability to simplify manual processes, allowing companies to gain valuable insights from data that was previously inaccessible. From the platform, companies find the best resources so that they can access, transform, trust, analyze and act on data.

“In addition to solutions to drive the use of AI in the market, Qlik has an Artificial Intelligence Council that further embeds ethical and cutting-edge AI development at the core of the company’s mission. By bringing together a diverse set of advisors, we accelerate the responsible development of AI-driven products to help customers use their data to achieve more meaningful business outcomes,” said Pereira.

Click below to share this article

Facebook Twitter LinkedIn Email WhatsApp

Transforming Your Organization with the Power of Business Intelligence

Share

 

Share

 

Share

 

Email

 

With the ability to drive strategic initiatives, make educated decisions and extract valuable insights from raw data, business intelligence (BI) has become a key enabler for organizational success. BI has revolutionized the way businesses operate and plan for the future in this age of intense competition and rapid technological advancement. One of the most powerful business intelligence tools available, Intellicus has provided tailored solutions to over 17,000 small and large businesses, enabling them to make data-driven decisions.

Understanding Business Intelligence

Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. It combines internal and external data sources into a logical framework that helps produce insights that can be put into action. Business intelligence is a valuable resource that facilitates managers, executives and stakeholders to make informed decisions.

Business Intelligence (BI) is a technology-driven process that analyzes business data to provide actionable information that informs strategic and operational decisions. It involves collecting, storing, analyzing, and visualizing data to uncover patterns, trends, and insights that drive business performance. Essentially, BI transforms raw data into meaningful information that empowers organizations to make data-driven decisions.

The Four Pillars of Business Intelligence

Data Collection and Integration: Business Intelligence starts with the compilation of information from various sources, such as social media interactions, market trends, consumer profiles and sales statistics. This data must be integrated into a single platform in order to provide a comprehensive view and analysis.

Data Visualization and Analysis: BI tools analyze trends, patterns, and connections using sophisticated analytics. Visualization tools like dashboards, charts, and graphs transform complex data into understandable insights for efficient decision-making.

Predictive Analytics: BI doesn’t merely focus on the present; it anticipates the future. To predict future trends, predictive analytics uses machine learning models and statistical algorithms. This makes it possible for companies to plan ahead and adapt proactively.

Actionable Insights: BI aims to generate actionable insights, not just reports. These insights help optimize operations, identify new opportunities, and enhance overall performance.

The Transformative Impact of Business Intelligence Improved Decision Making

BI tools give businesses access to real-time data, which is essential for making timely, well-informed decisions. This eliminates the need for guesswork and intuition-based decisions in favor of data-driven ones. Additionally, BI tools, like dashboards and visualizations, present data in an understandable format, making it easier for decision-makers to quickly comprehend complex information and react to changes that may have an impact on the business.

Operational Efficiency

The operational efficiency of an organization can be greatly improved using business intelligence. By automating repetitive operations, BI solutions allow employees to concentrate on more important facets of the company. Furthermore, by highlighting areas in the business process that require improvement, BI tools enable firms to get rid of bottlenecks, simplify procedures and cut expenses. Customer satisfaction and service delivery are enhanced as a result.

Improved Bottom Line

Business Intelligence can assist companies in increasing revenue and sales by offering insightful information about consumer behavior. With the use of BI technologies, marketers can better focus their campaigns and boost sales by analyzing customer data to find trends, buying patterns and preferences. Additionally, organizations can use business intelligence to pinpoint successful consumer categories and concentrate their marketing efforts on them. Revenue growth and improved conversion rates are possible outcomes of this focused strategy.

Competitive Advantage

Business Intelligence provides a competitive edge in today’s data-driven world. Through the utilization of BI tools, companies can acquire comprehensive insights into the tactics, advantages and disadvantages of their rivals and utilize this data to formulate strategic plans. Similarly, it facilitates prompt market adaptation and can assist companies in recognizing customer behavior shifts and market trends.

Ethical Considerations in BI

The Future of Business Intelligence

Advancing technology promises a bright future for BI. AI and machine learning will enhance predictive analytics, enabling businesses to foresee trends and adapt quickly. Integrating BI with emerging technologies like IoT and blockchain will unlock new dimensions of data analysis and decision-making.

Conclusion

Business Intelligence has evolved from being a mere buzzword to a transformative force shaping the future of businesses. It empowers organizations to navigate complexities, capitalize on opportunities, and drive growth in an increasingly data-centric world. Embracing BI isn’t just an option; it’s a necessity for businesses aspiring to thrive in today’s competitive landscape.

repeating the info from intro [SD1]

This doesn’t fit right here… please change the placement [SD2]

Qlik Introduces Qlik Answers to Transform Unstructured Data into Business Insights

PHILADELPHIA, July 30, 2024 — Qlik, a global leader in data integration, analytics, and artificial intelligence (AI), today announced the general availability of Qlik Answers, its newest self-service AI solution designed to help organizations harness the power of AI by removing the risk, embracing the complexity, and scaling the impact of AI. Qlik Answers transforms unstructured data into actionable results through generative AI, offering full explainability—a common obstacle in enterprise AI adoption.

Qlik Answers combines generative AI with Qlik’s trusted data analytics capabilities to deliver precise, contextually relevant results from extensive unstructured data sources. This solution enables customers to seamlessly integrate AI into their existing Qlik business intelligence workflows, ensuring efficient use of resources and avoiding technical debt.

“Qlik Answers is designed to help businesses use their unstructured data to make better decisions,” said Brendan Grady, Executive Vice President and General Manager of Qlik’s Analytics Business Unit. “This solution integrates our strengths in analytics and data with generative AI, providing users with precise answers to their questions. With Qlik Answers, we are offering a tool that supports the direct translation of unstructured data into tangible business outcomes.”

Key Benefits of Qlik Answers:

AI-Powered Responses: Delivers relevant answers from curated knowledge bases, enhancing the utility of unstructured data. Rapid Deployment: Offers a ready-to-use solution, reducing the time and complexity of deployment. Transparency: Ensures full explainability with answers linked to their source documents, fostering trust and consistency. Broad Connectivity: Integrates with existing systems and platforms, using Qlik’s enterprise connectors to access a variety of unstructured data sources. Enhanced Efficiency: Supports real-time business activities and decisions, enabling users to quickly access relevant information.

“We’re excited to see Qlik focus on unlocking business outcomes from unstructured data with Qlik Answers,” said Stefan Heinz, Senior BI & Analytics Manager at Bystronic Group. “The full explainability and integration with Qlik’s trusted analytics platform promise to drive responsible and effective use of AI at an enterprise level.”

Qlik Answers combines technologies to deliver reliable and efficient access to unstructured data. At its core, the solution uses Retrieval Augmented Generation (RAG), which merges retrieval-based and generative AI methods. This technique dynamically retrieves relevant documents from pre-indexed knowledge bases and generates precise, contextually relevant responses. By leveraging modern generative models, Qlik Answers can interpret and synthesize information from diverse sources, providing users with concise and actionable answers.

To ensure seamless integration with existing systems, Qlik Answers utilizes Qlik’s trusted enterprise connectors. These connectors allow the solution to access a wide range of unstructured data sources without requiring extensive data movement or reconfiguration. This approach not only simplifies deployment but also maintains data integrity and accessibility. Additionally, Qlik Answers is designed with full explainability and transparency in mind. All AI-generated answers are traceable back to their original sources, enabling users to verify and trust the information presented.

Qlik Answers is also self-service oriented, allowing business users to deploy and manage AI-driven knowledge assistants without needing extensive technical expertise or custom development. This ease of use ensures that organizations can quickly benefit from the solution, supporting real-time business activities and enhancing decision-making processes.

To learn more about Qlik Answers and how it can improve your business operations by unlocking the potential of unstructured data, visit Qlik Answers.

About Qlik

Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML and data management. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive.

Source: Qlik

Qlik Introduces Qlik Answers to Transform Unstructured Data into Business Insights

PHILADELPHIA, July 30, 2024 — Qlik, a global leader in data integration, analytics, and artificial intelligence (AI), today announced the general availability of Qlik Answers, its newest self-service AI solution designed to help organizations harness the power of AI by removing the risk, embracing the complexity, and scaling the impact of AI. Qlik Answers transforms unstructured data into actionable results through generative AI, offering full explainability—a common obstacle in enterprise AI adoption.

Qlik Answers combines generative AI with Qlik’s trusted data analytics capabilities to deliver precise, contextually relevant results from extensive unstructured data sources. This solution enables customers to seamlessly integrate AI into their existing Qlik business intelligence workflows, ensuring efficient use of resources and avoiding technical debt.

“Qlik Answers is designed to help businesses use their unstructured data to make better decisions,” said Brendan Grady, Executive Vice President and General Manager of Qlik’s Analytics Business Unit. “This solution integrates our strengths in analytics and data with generative AI, providing users with precise answers to their questions. With Qlik Answers, we are offering a tool that supports the direct translation of unstructured data into tangible business outcomes.”

Key Benefits of Qlik Answers:

AI-Powered Responses: Delivers relevant answers from curated knowledge bases, enhancing the utility of unstructured data. Rapid Deployment: Offers a ready-to-use solution, reducing the time and complexity of deployment. Transparency: Ensures full explainability with answers linked to their source documents, fostering trust and consistency. Broad Connectivity: Integrates with existing systems and platforms, using Qlik’s enterprise connectors to access a variety of unstructured data sources. Enhanced Efficiency: Supports real-time business activities and decisions, enabling users to quickly access relevant information.

“We’re excited to see Qlik focus on unlocking business outcomes from unstructured data with Qlik Answers,” said Stefan Heinz, Senior BI & Analytics Manager at Bystronic Group. “The full explainability and integration with Qlik’s trusted analytics platform promise to drive responsible and effective use of AI at an enterprise level.”

Qlik Answers combines technologies to deliver reliable and efficient access to unstructured data. At its core, the solution uses Retrieval Augmented Generation (RAG), which merges retrieval-based and generative AI methods. This technique dynamically retrieves relevant documents from pre-indexed knowledge bases and generates precise, contextually relevant responses. By leveraging modern generative models, Qlik Answers can interpret and synthesize information from diverse sources, providing users with concise and actionable answers.

To ensure seamless integration with existing systems, Qlik Answers utilizes Qlik’s trusted enterprise connectors. These connectors allow the solution to access a wide range of unstructured data sources without requiring extensive data movement or reconfiguration. This approach not only simplifies deployment but also maintains data integrity and accessibility. Additionally, Qlik Answers is designed with full explainability and transparency in mind. All AI-generated answers are traceable back to their original sources, enabling users to verify and trust the information presented.

Qlik Answers is also self-service oriented, allowing business users to deploy and manage AI-driven knowledge assistants without needing extensive technical expertise or custom development. This ease of use ensures that organizations can quickly benefit from the solution, supporting real-time business activities and enhancing decision-making processes.

To learn more about Qlik Answers and how it can improve your business operations by unlocking the potential of unstructured data, visit Qlik Answers.

About Qlik

Qlik converts complex data landscapes into actionable insights, driving strategic business outcomes. Serving over 40,000 global customers, our portfolio provides advanced, enterprise-grade AI/ML and data management. We excel in data integration and governance, offering comprehensive solutions that work with diverse data sources. Intuitive analytics from Qlik uncover hidden patterns, empowering teams to address complex challenges and seize new opportunities. Our AI/ML tools, both practical and scalable, lead to better decisions, faster. As strategic partners, our platform-agnostic technology and expertise make our customers more competitive.

Source: Qlik