Business Intelligence and Data Analytics: An Overview

 In Analytics, Business Intelligence, Data Analytics, SERVICES

Business intelligence and Data Analytics uses software and services to turn data into useful information.

Business Intelligence Overview

Business intelligence (BI) is the process of transforming data into actionable insights that help an organization make strategic and tactical choices. 

BI tools retrieve and analyze data sets to provide users with extensive insight into the condition of the business, and then display analytical findings in reports, summaries, dashboards, graphs, charts, and maps.

The phrase “business intelligence” is also used to describe a set of tools that enable quick, easy-to-manage access to data-driven insights into an organization’s current status.

Application of Business Intelligence

The dashboard is likely the best BI tool, and reporting is a major aspect of business intelligence. Dashboards are web-based software tools that automatically compile accessible data into charts and graphs that depict the company’s current situation.

Although business intelligence does not instruct people what to do or what will happen if they follow a specific path, it is also more than just reporting. BI, on the other hand, provides a means for individuals to review data in order to understand trends and derive insights.

It is accomplished by reducing the time and effort required to locate, combine, and query the data needed to make informed business decisions. A corporation that wants to manage its supply chain, for example, needs BI capabilities to figure out where delays are occurring.

The possible applications of business intelligence (BI) go beyond the traditional corporate success indicators of increased sales and lower costs. For example, a school in Columbus revealed a success story using BI tools to examine many data points — from attendance rates to student performance — to improve student learning and high school graduation rates.

Thinklayer has applied BI tools in the development of an automated Newsletter system. And there are many more applications of BI all around the world. A co-op business, for example, could utilize BI to measure member acquisition and retention.

From CRM data, BI tools might generate sales and delivery reports automatically. For example, a sales team could use BI to create a dashboard showing where each rep’s prospects are on the sales pipeline.

Correlation Between Business Intelligence & Data Analytics

After taking a brief business intelligence overview, it’s time to know the correlation between business intelligence and data analytics. Organizations will see how they might benefit from each other in comparable ways.

Both BI and data analytics, as one might imagine, follow similar methods for gathering data, evaluating it, and generating insights. The data-gathering process, in particular, is critical for achieving the best outcomes by ensuring that the data gained is accurate and full.

Both of these terms also engage in reporting. It means that the data is organized and presented so that it allows it to be visualized. Business intelligence and data analytics can also identify areas where businesses fail or, at the least, not operating at peak efficiency. 

They use the data they collect to show where pain spots exist, providing businesses a better understanding of where they could fall short.

Business Intelligence strategy

IT experts were the primary consumers of BI apps in the past. BI tools, on the other hand, have become more intuitive and user-friendly, allowing many individuals from many organizational domains to use them.

Gartner’s Howson differentiates two types of BI. The first is traditional or classic BI, in which IT experts build reports using in-house transactional data. Modern BI, on the other hand, involves businesspeople interacting with agile, intuitive technology to evaluate data more quickly.

Organizations typically utilize traditional BI for particular sorts of reporting, such as regulatory or financial reports, where accuracy is critical and the questions and datasets used are routine and predictable, according to Howson.

When business customers require visibility into rapidly changing dynamics, such as marketing events, current BI solutions are commonly used. It is more important to be quick than to have perfect data.

Although excellent business intelligence is critical for making strategic business decisions, many organizations cannot put in place successful BI strategies because of poor data practices, tactical errors, and other factors.

Self-service Business Intelligence

Self-service BI systems allow companies to make internal data reports more accessible to managers and other non-technical employees. Business intelligence dashboards are one of the cornerstones to self-service BI success.

Self-service BI systems allow companies to make internal data reports more accessible to managers and other non-technical employees. Business intelligence dashboards are one of the cornerstones to self-service BI success.
Although some training may be required, if the benefits of the tools are evident enough, staff will be eager to join. Thinklayer walks you through the decision-making process and provides you with the best solution if you’re looking for a self-service BI solution.

Business Intelligence Software And Systems

A variety of different tools fall under the business intelligence umbrella. 

  • Visualizations
  • Dashboards
  • Reporting
  • Data mining
  • ETL (Extract-Transform-Load tools that import data from one data store into another)
  • OLAP (Online Analytical Processing)

Dashboards and visualization, according to Thinklayer, are by far the most popular of these tools; they provide the quick and easy-to-digest data summaries that are at the heart of BI’s value proposition.

The Future of Business Intelligence

BI and Analytics are the way of the future. Each function will be more powerful and valuable to businessmen as a result of the combinations incorporated in these software platforms. So, for example, someone might look at reports from the previous year’s sales – that’s business intelligence — but they might also obtain projections for next year’s sales – that’s business analytics.

Software makers are moving to develop applications that will provide those functions within a single application rather than delivering them via multiple platforms, as is now the case. Now the system delivers higher-value recommendations. 

It increases the decision efficiency, maker’s power, and accuracy. According to Gartner’s Magic Quadrant research, firms that provide “users access to a curated library of internal and external data will realize twice the business value from analytics investments than those who do not” will reap twice the business value from analytics investments by 2020.

Conclusion

So, this is a brief overview of BI and its correlation with Data Analytics. If you, too, want to leverage your business with Business Intelligence and Data Analytics Services, then Thinklayer is always there to assist you with the best solutions. 

References –

  1. https://www.import.io/post/business-intelligence-vs-data-analytics/
  2. https://www.cio.com/article/2439504/business-intelligence-definition-and-solutions.html
  3. https://www.omnisci.com/technical-glossary/business-intelligence

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