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Transforming Your Organization with the Power of Business Intelligence

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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.

Microsoft Lists integration with Power BI
Microsoft Lists integration with Power BI

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.

Create a report quickly from a SharePoint list or library in the
Create a report quickly from a SharePoint list or library in the

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.

Power BI Desktop OneDrive and SharePoint integration - Power BI
Power BI Desktop OneDrive and SharePoint integration – Power BI

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]

Displaying an SSRS Report in SharePoint

As data structures and database systems increase in complexity, channels for data access, dissemination and collaboration have become easier to use, and the underlying data architecture is now transparent to the business user. SharePoint, an extensible enterprise collaboration platform, supports file sharing, business intelligence, social networking and content management. You can display reports from SQL Server Reporting Services, the server-based report-generation component of the SQL Server 2008 R2 suite, on the SharePoint platform. Displaying SSRS reports in SharePoint provides users with access to business information — making the most of content management features in a collaborative environment.

Components of SSRS and SharePoint Integration

To display SSRS reports in SharePoint, you need an SSRS installation with an instance of SharePoint using SQL Server and the Reporting Services add-in for SharePoint Products. In SQL Server, the integration process requires changing the Report Server settings to run in SharePoint Integrated mode. This mode ensures full report access and delivery to Report Server content using SharePoint. In SharePoint, you can download and install the add-in to deploy the Report Server proxy endpoints, Web parts and application pages that will allow you to work with Report Server data in the SharePoint environment. The Report Server proxy endpoints make it possible to manage objects on the Report Server configured in SharePoint integrated mode. Web parts allow users to customize SSRS report content, layout and location on a SharePoint Web page. A SharePoint application page is a special type of content page used to add user interface components that, in this case, allows access to Report Server items on a SharePoint site.

Benefits of Displaying SSRS Reports in SharePoint

Integrating and managing SSRS reports in a SharePoint environment is especially beneficial for users throughout the reporting cycle because they can create, modify and publish reports using Report Server content through the familiar SharePoint interface. Additionally, integration between SSRS and SharePoint technology allows shared storage, unified security and same-site access to business data.

Report Explorer Web Part

The Report Explorer Web Part links directly to the Report Manager in SSRS and allows users to browse the contents and subscribe to reports using the Report Server hierarchy in SSRS. With proper permissions, users may be able to access the Report Builder, another component of SSRS, through the Report Manager to develop ad hoc reports as required. Users are able to access individual items and reports based on their role assignment in the Report Server. When users click a report in the Report Manager, the document activates in a browser window through the Report Server’s HTML viewer.

Report Viewer Web Part

The Report Viewer Web Part is installed as a component of the Report Services Add-In for SharePoint Products. Web Part works only with SSRS in SharePoint integrated mode and isn’t compatible with reports built in other software products. It acts as a medium for viewing, navigating, printing and exporting reports contained in Report Servers configured to run in SharePoint integrated mode. You can link only one report to a single report-viewer instance. However, you can create a dashboard that groups multiple reports by adding multiple Report Viewer Web Parts on a single SharePoint page.

What Is SharePoint Sandbox?

Microsoft SharePoint, an Internet application platform launched in 2001, has sold over 125 million licenses to over 65,000 customers as of 2011, according to Jeff Teper, corporate vice president of the Office Business Platform at Microsoft. SharePoint was designed as a program for Web content and document management, business intelligence, workflow automation and the integration of existing systems. The SharePoint Sandbox is a directory of SharePoint solutions.

Terminology

According to Microsoft, the term “sandbox” in this context means “done” or “proven to be true.” SharePoint sandboxed solutions, therefore, is a group of methods that have already been proven to work.

Process

Sandbox operates separately from the primary SharePoint program, and runs in isolation in a distinct area, exposing a subset of the SharePoint space while the SharePoint program functions as usual.

Function

Sandbox restricts actions that can cause performance, security or other problems, thereby bringing greater stability to a SharePoint farm. Specifically, this stability is achieved by limiting the functionality available to custom code solutions through CAS, or code access security, policies and by restricting access to parts of the object model.

Enabling Sandboxed Solutions

The User Code Service is a Windows service that must be enabled to allow Sandbox to run in the background during SharePoint use. The User Code Service manages the running of the Sandbox, and each server in a farm must enable the User Code Service for the Sandbox to run.

Administration of Sandboxed Solutions

As with any administration in SharePoint, you use a layered administration rule in sandboxed solutions, which means that you configure the solutions at either a farm level or at a site collection level. Farm-level administration allows for control of resources and for monitoring of the programs, while site collection administration allows for the uploading, activation and deactivation of sandboxed solutions that are part of that particular site’s solution group.

Why enterprise CIOs need to plan for Microsoft gen AI

Enterprises with strong experience in open source may look to open foundation models as an option to reduce costs, but Curran cautions against equating open weight models with the more familiar open source ecosystem. He predicts enterprises will adopt them though, including using them in curated environments provided like Azure.

“I’ve seen a lot of interest in the open source models, but not many in production,” says Boyd, although customers are starting to use small models like Microsoft’s own Phi series. “But it’s largely early days. I haven’t seen mass adoption.”

Beyond simplifying setting up and running open weight models, using them on a platform like Azure has an added benefit: Microsoft’s model content safety service is “on and integrated by default with Azure Open AI Services, but it’s also on by default with all our open source models as well,” he adds.

After the excitement and experimentation of last year, CIOs are more deliberate about how they implement gen AI, making familiar ROI decisions, and often starting with customer support. “It’s a cost most organizations have but don’t like paying for, yet they still want to provide a quality experience,” he says. Reduced call times and escalations are obvious benefits as well.

These more vertical, task specific, integrated gen AI offerings may contribute more than generalist productivity copilots because people won’t need to find uses and then remember to include them in their workflow. But the most popular copilots can perform strongly: Virgin Atlantic, for instance, reports efficiency gains of 14 minutes per day.

But not all copilots necessarily provide the same value. Curran suggests security copilots may not provide significant extra value on top of existing tools in Microsoft Defender, at least without extra training. But the Excel Copilot was a surprise hit at Virgin Atlantic. “People absolutely love that Copilot will automatically tell you if you have data inconsistencies in the way you’re filling out forms,” says Walker. He describes how Copilot can warn if, say, you’re adding a duplicate filter in lower case instead of upper case, and fix it. “It’s like having someone look over your shoulder as you’re doing it.”

The Teams Copilot to summarize meetings and provide next steps is almost universally popular, too. “You get into a room with 15 people and you’re not focusing on who’s taking the minutes or whether you need to be clear enough in allocation and make sure everyone understands what the output is,” says Walker. “You’re focusing on the meeting itself, and you’re more present in the room because you know Copilot is behind you recording and transcribing.”

Even this pre-built Copilot needs preparation before enabling. Multilingual organizations where staff speak in both their native languages and a common language like English or Mandarin will need to monitor quality of transcriptions and translations more carefully. And if recording meetings isn’t already common in the organization, CIOs need to consult with legal and data protection teams on retention, auditing, and deletion policies because of potential issues around discovery.

A data leakage plan helps here too. “As soon as you record something, it becomes a form of data and needs classification and a place in the organization,” Walker says. “But equally, you need to know whether it’s appropriate to create that data in the first place.”

While CIOs need to maintain financial discipline and track usage of gen APIs with the now familiar ‘pay as you go’ model, especially with September budgeting season looming, they also need to play a long game warns Mickey North Rizza, group VP, Enterprise Software at IDC. “It’s going to cost you a lot of money,” she says. “CIOs may complain they’re not getting enough out of it, but the first time you got an iPhone, nobody knew what to do with it.”

Whether used as an assistant, advisor, or an agent, she expects gen AI’s optimized access to information to reduce multi-step business processes to real-time systems with far fewer steps. But experimentation to achieve significant results takes time.

In the meantime, Boyd notes, OpenAI prices have significantly reduced. “In the year and a half since Azure OpenAI Services has been available, ChatGPT 4 has fallen by 12 times while being six times faster,” he says.

Phased deployments aren’t just about cost, security, or compliance concerns, but capturing the right feedback to manage them well and support users properly. Training is key, even when considering gen AI skills in hiring, as is being willing to accept the simplified processes gen AI can produce. Troublingly, there’s a considerable disconnect between what leaders think their employees are ready for with gen AI and what staff feel prepared for.

Forrester found 59% of leaders believe they’ve given staff sufficient training, but only 45% of employees say they’ve had any formal training. The most successful training covers not just staff roles but their workflows. There’s enormous enthusiasm for gen AI but engagement quickly drops off if they don’t have the time to explore it and learn how to get useful results for their work, Wong says.

“If you don’t use the technology to fundamentally rethink processes, and you just layer more AI work over existing processes, you don’t get the best benefit out of it,” he says. “You have to rethink the underlying processes, and have training and ongoing education because these technologies are moving very quickly. The paradox is employees still want it despite the fact it’s hard for them to ingrain generative AI into their work routines, and that in some cases it’s underwhelming based on their expectations.”

CIOs may then want to consider how organizations adopt low code tools, where encouraging bottom up enthusiasm, experimentation, and sharing of growing expertise helps spread usage across the business. Both Microsoft and Virgin Atlantic report good results from structured training that includes time to experiment. Walker refers to “guided play sessions” and users were encouraged to share what worked with their peers. “They can go out as trusted users into the environment and say to people this isn’t scary,” he says.

CIOs should also remember gen AI is just one of many changes organizations are asking staff to absorb. The rate of change enterprise workers are expected to adapt to is up to three times what it was in 2010, Curran warns. “Businesses have not increased their ability to support those changes with the same speed,” he says. Adding resources to support employees through these changes will be as important for succeeding with gen AI as getting the technology right.

That includes IT teams themselves, who need to prepare for gen AI to continue developing at this speed. Vladimirskiy passes on Microsoft’s advice to software partners creating their own gen AI products. “Everyone should have the expectation that by the time you build something, you’re going to have to scrap it and start again,” he says. “The value for companies is maybe not so much the outcome of the product they’re building, but the creation of the expertise within the organization, to be able to leverage it in the future when AI becomes much more capable than it is today.”

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]

How AI Can Power Brand Management

Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it encompasses multiple activities designed to build the reputation and image of a business—such as crafting and communicating the brand story, ensuring that the product or service and its price reflect the brand’s competitive positioning, and managing customer relationships to forge loyalty to the brand.

A brand is a promise to customers about the quality, style, reliability, and aspiration of a purchase. AI can’t fulfill that promise on its own (at least not anytime soon). But it can shape customers’ impressions of a brand at every interaction. And it can automate expensive creative tasks—including product design. To succeed with it, you must understand how it is perceived by stakeholders and what can be done not only to mitigate their concerns but to make them avid supporters. Using examples from Intuit, Caterpillar, and LOOP, along with in-depth scholarly research, the authors propose a framework for thinking about the key roles that AI plays when it comes to managing brands effectively.

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]

How AI Can Power Brand Management

Marketers have begun experimenting with AI to improve their brand-management efforts. But unlike other marketing tasks, brand management involves more than just repeatedly executing one specialized function. Long considered the exclusive domain of creative talent, it encompasses multiple activities designed to build the reputation and image of a business—such as crafting and communicating the brand story, ensuring that the product or service and its price reflect the brand’s competitive positioning, and managing customer relationships to forge loyalty to the brand.

A brand is a promise to customers about the quality, style, reliability, and aspiration of a purchase. AI can’t fulfill that promise on its own (at least not anytime soon). But it can shape customers’ impressions of a brand at every interaction. And it can automate expensive creative tasks—including product design. To succeed with it, you must understand how it is perceived by stakeholders and what can be done not only to mitigate their concerns but to make them avid supporters. Using examples from Intuit, Caterpillar, and LOOP, along with in-depth scholarly research, the authors propose a framework for thinking about the key roles that AI plays when it comes to managing brands effectively.

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