Business Intelligence: Drive your business with data

Business Intelligence Drive your business with data

Table of Contents

With over half of the businesses currently utilizing Business Intelligence (BI) solutions and projections for continued growth, having a solid understanding of what this technology can do is becoming more critical than ever. To aid those looking to learn about BI or move towards adoption, we have developed an all-encompassing guide that covers the fundamentals and further information on how it operates.

What is Business Intelligence (BI)?

Business Intelligence (BI) is a powerful tool for organizations, allowing them to make informed decisions based on data-driven insights. With modern BI solutions in place, it can become easier and faster to identify areas of improvement and opportunities that may have previously been overlooked.

These user-friendly platforms offer self-service analysis and reliable sources of governance – enabling businesses worldwide to stay ahead by quickly adapting their strategies according to changing markets or resources.

Business Intelligence Drive your business with data

With a history stretching back to the 1960s, Business Intelligence has steadily grown into its modern form for collecting and analyzing organizational data. In 1989 it was officially named ‘Business Intelligence‘ with new computer models offering decision-making capabilities.

Fast forward to today, where BI teams provide IT service solutions that transform raw data into actionable insights that enable organizations of all sizes to be more informed in their decisions.

How business intelligence works

Businesses and organizations use data-driven insights to ensure their success. Through business systems, basic information is collected, which needs to be processed and stored in various mediums such as warehouses or the Cloud before being analyzed for answers that can facilitate progress towards achieving goals.

To enable efficient communication among stakeholders and decision-makers regarding metrics or objectives achieved, BI platforms provide user-friendly visualization tools supported by powerful algorithms so they may interact with crucial results quickly yet effectively.

How Business Intelligence, Data Analytics, and Business Analytics work together to help businesses make strategic decisions?

Business Intelligence combines Data and Business Analytics to make sense of complex information. It enables users to draw meaningful conclusions from their analysis. At the same time, data scientists take a deeper dive into the details through advanced statistics and predictive modeling to better understand patterns and anticipate future trends.

With Data Analytics, businesses can identify what has caused an outcome and plan for more prosperous futures. Business Intelligence provides the models and algorithms to create actionable insights from those analyses. Gartner’s IT glossary confirms that business analytics involves a variety of approaches, including data mining, predictive analysis, applied models, and statistics – all part of any organization’s comprehensive strategy toward better insight into their operations.

Business Intelligence is an effective tool that can help organizations drive informed decisions and achieve efficient planning in their operations. However, the analytics cycle offers much more potential than a straightforward approach to BI. This cyclical process provides data-driven insights through continuous access, exploration & sharing – allowing companies to keep track of changing demands for intelligent, actionable outcomes.

Traditional BI vs. Modern BI

With conventional Business Intelligence, IT organizations were responsible for powering analytics from the top down. The downside of this approach was that any follow-up questions or requests regarding reports would have to be re-submitted. These slow cycles led to people languishing in drawn-out decision-making processes due to a lack of access to current data.

With traditional Business Intelligence, reporting and data queries were limited to IT departments. Modern Business Intelligence has changed the game by putting powerful tools in users’ hands, allowing them to visualize their insights quickly and easily – no longer relying solely on IT staff for answers.

The right software empowers novice analysts to experienced executives with interactive dashboards customized according to user needs to uncover hidden opportunities in real time.

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Top 13 benefits of BI

Business Intelligence Drive your business with data

Business Intelligence is a powerful tool that can generate insights into data and drive informed decisions. By leveraging it, businesses can save significant amounts of resources by honing in on high-performing products or services. There’s a list of the benefits for enterprises guaranteed by applying BI:

  • Decision-making sped up: When entrepreneurs are well-equipped with streamlined, data-driven insights, decision-making can be expedited – enabling the company to devise and execute a performance strategy swiftly.
  • Using data for a better understanding of business performance: With the help of modern BI systems, businesses can gain invaluable insights into their performance to ensure optimized operations. Through data analysis, they are better equipped with answers as to why certain decisions have led them here and what steps should be taken next for successful outcomes.
  • KPI response: By leveraging KPIs, companies can gain valuable insight into their performance from multiple perspectives and determine effective strategies to ensure long-term success.
  • Comprehensive data visualization: See data come alive with complete visualization, providing an efficient path to insight and understanding. Utilize the power of interactive dashboards for easy-to-use navigation and unlock fresh perspectives on your information landscape.
  • Connecting different company departments: By clicking various company departments, invaluable data-driven improvement suggestions are accessible to all teams within the organization. From finance and sales to support and customer care, these improvements foster an environment of collaboration – enabling more significant levels of success for everyone involved.
  • All-size company decisions: With modern Business Intelligence solutions, even the most complex company decisions can be easily dispersed throughout an organization. This allows all members access essential data and analysis supporting their decision-making process.
  • Proper analytical insights: Business Intelligence can prove invaluable in staying ahead of the curve – analyzing a broad range of data to guarantee that your company’s strategy is at its peak performance.
  • Competition is nailed: With Business Intelligence, competition is no longer an abstract concept. Gain valuable insights using competitive analysis and take your business to the next level by discovering market trends and advantages or disadvantages of competitors in the industry.
  • Multi-platform solution: The cutting-edge Business Intelligence software provides a multi-platform solution for maximum reach. Quickly distribute more comprehensive data using web and mobile versions to a vast audience.
  • Cost-saving insights: Business Intelligence systems sift through the data at hand to uncover the hidden potential in areas such as human resources management, marketing expenditure, inventory levels, and vendor selection – enabling organizations of all sizes towards more efficient use of their funds.
  • Profit increasing: Companies are taking advantage of business intelligence insights to uncover budget discrepancies and inefficiencies, increasing profits. By leveraging these cutting-edge technologies, businesses can maximize their results while remaining competitive.
  • Employee satisfaction: Business Intelligence systems provide valuable insights into team effectiveness and employee satisfaction. With ready-made reporting, managers can gain a comprehensive overview of their teams’ progress and get detailed metrics on individual employees or departments – maximizing productivity potential across the board.
  • Customer care improvement: To ensure customer satisfaction, entrepreneurs must understand user behavior and be able to gauge their feedback in real time. BI reports enable this by creating personas of customers based on data which can then help inform necessary improvements that will enhance the range of services offered.

Examples of BI: The success stories

Organizations across a wide range of industries are leading the way in using enterprise BI to improve operations and gain competitive advantages. Healthcare, information technology, and education have pioneered this development – demonstrating that all organizations can reap the benefits of data-driven transformation.

For example, Charles Schwab leveraged Business Intelligence to gain a holistic view of all their branches nationwide, empowering branch managers with insight into opportunities arising from changes in investment needs. Leaders can now monitor how individual locations contribute to the overall performance of regions and take actions accordingly – optimizing operations while providing superior customer service experience for clients.

Another example, HelloFresh, which revolutionized its digital marketing operations with the help of Tableau, reclaiming up to 20 hours each day for increased targeting and segmentation. This optimization allowed them to amplify the effectiveness of their campaigns while powering ahead in an ever-evolving industry landscape.

See more» Business Intelligence examples: Real-life success stories

Roadmap to develop the right Business Intelligence strategy

Business Intelligence: Drive your business with data


For any business looking to make the most of its data, it’s time to begin formulating a successful Business Intelligence strategy. With our 16-step, plenty of resources are at your disposal for developing an effective system that will yield insights and results, from deciding which tools best fit your needs to analyzing performance post-implementation.

Step 1 – Go into the process with eyes wide open

Unlocking the value of Business Intelligence solutions can seem daunting. While data-driven insights are potentially lucrative, hurdles such as complex integrations and stakeholders needing to invest in adoption entirely make maximizing ROI challenging. But investing time upfront – and reminding decision-makers why new BI was necessary in the first place – helps ensure a successful, rewarding implementation for all involved parties.

Step 2 – Determine stakeholder objectives

To ensure success with data access and insights, it is essential to identify key stakeholders from the outset. Gathering expectations from executive team members is critical for visible sponsorship of the initiative; however, further investigation into organizational pain points and KPIs beyond this level must be undertaken to generate a comprehensive list of objectives. Taking an iterative approach naturally follows: begin wide-reaching but pare back where appropriate as stakeholder needs are identified.

Step 3 – Choose a sponsor

Crafting an effective Business Intelligence strategy depends on securing a sponsor who is senior enough to have ultimate responsibility and authority.

While assigning the Chief Information Officer (CIO) or Chief Technical Officer (CTO) may be tempting, it’s recommended that those with bottom-line accountability, such as the Chief Financial Officer (CFO) or Chief Marketing Officer (CMO), are mobilized for this purpose; they can provide context through their demonstration of understanding around organizational goals while also constructing evidence-based scope change requests.

Furthermore, no matter which executive takes hold of sponsorship duties, ongoing dialogue between them and technical personnel should occur so any insights gleaned from BI data sources remain actionable across departments.

Step 4 – Assess the current situation

To ensure a successful deployment, businesses must assess their current setup and identify any existing successes or failures. This initial groundwork allows companies to preserve already effective software stacks while pinpointing inefficient processes that require further optimization.

By gathering all relevant stakeholders in this process, organizations can better understand both profitable tactics and necessary changes moving forward – ensuring no disruption in productivity levels due to newly implemented BI strategies.

Knowing the data sources you possess and how they are stored is a vital part of an effective business intelligence strategy. Working collaboratively with IT and key stakeholders, developing a plan for efficient data storage services is paramount.

Analyze if staying separate or constructing a centralized warehouse would be most beneficial for your organization – this will ensure that no steps have been missed in deploying your overall BI initiative.

Step 5 – Define a budget

With a well-defined business situation, you need to spend some time budgeting. Allocating resources efficiently and smartly is paramount when building an effective Business Intelligence strategy – from hiring the right personnel, such as Chief Data Officer, or training your staff accordingly to selecting appropriate software solutions for implementation.

Business Intelligence tools are integral for extracting value from data. Many options exist, each with varying features and costs tailored to the size and needs of organizations – meaning it pays to take inventory before selecting a solution that fits like a glove. Compare vendors informatively; ensure you understand your requirements and have sufficient funds available so no corners need cutting.

Step 6 – Think of security, privacy, and compliance

As data-driven businesses, we must be vigilant in protecting our users’ information. Data breaches have become an ever-present threat, and regulations are regularly implemented to manage them. Any BI strategy roadmap needs to consider security measures that ensure companies stay compliant with privacy legislation – by taking this proactive stance. You can reset your business on a secure path toward success.

Step 7 – Identify key performance indicators (KPIs)

To understand how well a business is doing, KPIs provide measurable insights. They serve as gauges to steer strategy in the right direction and illustrate what objectives have been achieved or need attention. Although creating too many KPIs can lead down an unproductive path, choosing the main criteria allows for establishing standards aligning with overarching goals. Afterward, more detailed KPI examples may be added incrementally if needed.

Step 8 – Choose the right tool/partner for your business

Your BI software/partner decision is a crucial one for the future of your business. Use free trials to compare cloud and on-premise options to ensure you make the best choice. Investigate solutions with scalability so they can meet both present demands and those in the years ahead.

Step 9 – Rely on interactive data visualizations

Transform how you understand data analytics and gain a competitive edge by incorporating interactive visualizations into your BI strategy. Cutting-edge insights can be derived from helpful graphs, maps, charts, or other forms of visuals to aid in collecting and analyzing the vast amounts of available information quickly – empowering teams across an organization with enhanced understanding and faster decision-making capabilities.

Step 10 – Think about possible roadblocks and find solutions

As you continue to construct your Business Intelligence strategy, you must anticipate potential roadblocks. While one can never be fully prepared for every problem encountered in any given situation, by incorporating risk management techniques and identifying possible trouble areas, such as employee training or data storage, before implementing a BI roadmap, organizations are better equipped to navigate unanticipated obstacles during their formation process.

Step 11 – Pursue a phased approach

Taking a phased BI implementation approach provides the foundation for long-term success. Start small and set up achievable objectives such as developing business dashboards with specific KPIs, gathering feedback from stakeholders after every few weeks’ releases, and making data-driven decisions through continuous measuring and refining of processes, reports, and data. This iterative process will ensure that your organization never reaches its destination but always aims higher in terms of achieving goals.

Categories of BI analysis

Organizations can rely on three major analysis types to maximize the utilization of Business Intelligence.

  • Predictive analytics helps businesses anticipate the future and make informed decisions.
  • Through descriptive analytics, trends and relationships in data are uncovered for a better understanding of current situations.
  • The prescriptive analysis is then used to discover what action should be taken next – so organizations can confidently move forward with their strategies.

Business Intelligence: Pros. and Cons.

Pros of Business Intelligence

Data visibility

Business Intelligence Drive your business with data

Modern BI applications provide teams with an invaluable tool – the ability to take big data and quickly transform it into visually striking graphical representations. This makes understanding KPIs and other actionable information a breeze, resulting in better reports that give everyone on your team unprecedented clarity about the complete picture of any project or initiative.

Accurate reports

Business Intelligence has come a long way since the days of laboriously pouring over endless spreadsheets and reports. With recent tech advancements, BI is more interactive than ever – providing quick insights into data for faster decision-making.

Streamlined processes

With modern mobile Business Intelligence and the Cloud, you can always stay one step ahead – make sure decision-making never takes a holiday, even in your most hectic moments. Access all the latest insights whenever they’re needed to close those key deals while away from the office.

Staying on top of the latest information is essential in an ever-changing world. Business Intelligence applications can provide organizations with real-time critical insights and data, allowing them to act swiftly and make informed decisions as needed.

Cons of Business Intelligence

Initial cost

With the surge of cloud-based BI solutions, companies must be savvy when navigating varying vendors and their pricing options. Although many competitively priced pay-as-you-go packages are available, data overages or premium services can add up quickly – businesses must do due diligence to select a cost-effective solution that fits their budget.

Data security

Protecting your data is critical in this age of cyberattacks. Major security breaches at retailers demonstrate that any system – even those completely disconnected from an online portal – can be vulnerable to hackers. To guarantee safety, organizations must take proactive risk prevention measures with mobile BI applications to ensure their sensitive or proprietary information remains secure.

Different conclusions from the same data

Business Intelligence can present unbiased and consistent data. However, when it comes to decision-making, humans often create their conclusions. This means that organizations must find a balance between the two interpretations to reach an accurate outcome.

How to choose the right BI platform for your business

Business Intelligence Drive your business with data

Organizational success often hinges on informed decision-making, so utilizing the latest Business Intelligence solutions has become a priority for many businesses. Here are the key prospects to consider in choosing the right BI software for your company.


To ensure the best Business Intelligence tool is selected, it’s essential to ensure that data formats available from your system sources are supported. Reviewing this compatibility ensures all data that needs analyzing can be accessed and used to drive informed decisions.

Intuitive to use

Business Intelligence Drive your business with data

With the right Business Intelligence tool, organizations can unlock valuable insights into their performance growth and plan for future success. To facilitate this process, users should look for a BI system equipped with intuitive dashboards, tables, charts, and mobile-friendly capabilities. Hence, data is accessible from any device.

Integration with other platforms and applications

Investing in modern BI software that interacts directly with ERP systems is an effective way to optimize business processes, save costs, and improve overall functionality. Utilizing this solution helps you avoid costly job delays caused by writing custom codes for systemic updates or changes.

Offline Storage

Businesses can benefit from the speed and accuracy of reporting provided by an offline storage database within their BI tool. Through APIs, companies can quickly access Business Intelligence results even when no internet connection is available. Having this capability dramatically enhances decision-making processes in any organization.


For a business to stay competitive, it needs access to thoughtful insights into its customer data. But security is paramount when dealing with confidential information. So choosing the right Business Intelligence tool is vital in protecting sensitive info and empowering users through role-based permissions custom configured for each user.

BI and big data

Business Intelligence Drive your business with data

As businesses learn to navigate the data-driven landscape, it’s essential to examine how BI and big data are intertwined. Big Data has become a common phrase in today’s industry. It can be best described using “the four Vs”: Volume, Velocity, Value, and Variety. Of all these characteristics of Big Data that set it apart from its counterparts, volume reigns supreme as this large amount of information remains easily accessible for extended periods.

Business Intelligence platforms face the challenge of keeping up with rapidly developing significant data trends. As such, it is paramount that BI providers ensure their systems remain current to meet businesses’ needs and take advantage of new opportunities as they arise. An effective platform will scale alongside increasing demands for efficient and accurate data processing capabilities – failure to do so may leave dashboards behind in a changing landscape.

See more» What Is Big Data Analytics, and How Does It Work?

The future role of Business Intelligence: More to see

Business Intelligence is on the move. This year, users must be aware of how Artificial Intelligence and Machine Learning are taking charge – they must learn to incorporate these insights into their BI strategies. Companies that want success in an increasingly data-driven world should focus on strengthening collaboration between teams through closely shared data and vital visualizations for more excellent impactful results.

Business Intelligence is becoming increasingly popular in a variety of industries. Companies are taking advantage of its many capabilities – including near real-time sales tracking that lets users tap into valuable customer insights and access forecasting profits. As BI platforms continue advancing with new technology each year, an ever-growing number have seen the value it can provide their business operations.

See more» AI vs. BI: How do they work together?

Business Intelligence is a tool that can help organizations unlock tremendous potential in the way they interact with customers and their internal processes. Organizations can boost efficiency, improve customer experiences, and maximize profits by taking advantage of the latest trends. With careful planning and an understanding of today’s most current BI trends, businesses can use this powerful tool to differentiate themselves from competitors in an ever-changing market.

Innovature BPO offers comprehensive Business Intelligence Services

Our Business Intelligence Services can be customized to meet the specific needs of businesses. Our end-to-end BI and automation services include ETL, data warehousing, data visualization, and advanced analytics.

We work with popular database technologies such as Google, Microsoft SQL, No SQL, and Oracle, as well as leading visualization tools like Tableau, Power BI, and Qlik. Our expertise in RPA technologies like UiPath, Blue Prism, and Power Automate can help businesses automate their processes to improve efficiency. We also have extensive experience working with cloud technologies such as Google, Azure, and AWS, enabling faster and more secure access to data and business insights.

Overall, our technology-agnostic approach and functional expertise in various industries make us uniquely positioned to help businesses achieve their strategic goals and objectives by driving better business outcomes.

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