Please follow the instructions and go through the attached PDF question document first and start working.

Business intelligence (BI) leverages software and services to transform data into actionable insights that inform an organization’s strategic and tactical business decisions. BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts and maps to provide users with detailed intelligence about the state of the business. Business intelligence often also refers to a range of tools that provide quick, easy-to-digest access to insights about an organization’s current state, based on available data.

Business intelligence is descriptive, telling you what’s happening now and what happened in the past to get us to that state. Business analytics, on the other hand, is a term for data analysis techniques that are predictive — that is, they can tell you what’s going to happen in the future — and prescriptive — that is, they can tell you what you should be doing to create better outcomes. (Business analytics are usually thought of as that subset of the larger category of data analytics that’s specifically focused on business.)

A variety of different types of tools fall under business intelligence. Here are some of the most important categories and features:

• Dashboards
• Visualizations
• Reporting
• Data mining
• ETL (extract-transfer-load —tools that import data from one data store into another)
• OLAP (online analytical processing)

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

There are tons of vendors and offerings in the BI space, and wading through them can get overwhelming. Some of the major players include:

• Tableau, a self-service analytics platform provides data visualization and can integrate with a range of data sources, including Microsoft Azure SQL Data Warehouse and Excel
• Splunk, a “guided analytics platform” capable of providing enterprise-grade business intelligence and data analytics
• Alteryx, which blends analytics from a range of sources to simplify workflows as well as provide a wealth of BI insights
• Qlik, which is grounded in data visualization, BI and analytics, providing an extensive, scalable BI platform
• Domo, a cloud-based platform that offers business intelligence tools tailored to various industries (such as financial services, health care, manufacturing and education) and roles (including CEOs, sales, BI professionals and IT workers)
• Dundas BI, which is mostly used for creating dashboards and scorecards, but can also do standard and ad-hoc reporting
• Google Data Studio, a supercharged version of the familiar Google Analytics offering
• Einstein Analytics, Salesforce.com’s attempt to improve BI with AI
• Birst, a cloud-based service in which multiple instances of the BI software share a common data backend.
• What are we doing this week?
• • Read the required reading on business intelligence and big data

This week’s article provided a case study approach which highlights how businesses have integrated Big Data Analytics with their Business Intelligence to gain dominance within their respective industry. Search the UC Library and/or Google Scholar for a “Fortune 1000” company that has been successful in this integration. Discuss the company, its approach to big data analytics with business intelligence, what they are doing right, what they are doing wrong, and how they can improve to be more successful in the implementation and maintenance of big data analytics with business intelligence.

Your paper should meet the following requirements:

• Be approximately 5 pages in length, not including the required cover page and reference page.

• Follow APA guidelines. Your paper should include an introduction, a body with fully developed content, and a conclusion.

• Support your response with the readings from the course and at least five peer-reviewed articles or scholarly journals to support your positions, claims, and observations. The UC Library is a great place to find resources.

• Be clear with well-written, concise, using excellent grammar and style techniques. You are being graded in part on the quality of your writing.