Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 Min Read
    ai for stock trading
    Can Data Analytics Help Investors Outperform Warren Buffett
    9 Min Read
    media monitoring
    Signals In The Noise: Using Media Monitoring To Manage Negative Publicity
    5 Min Read
    data analytics
    How Data Analytics Can Help You Construct A Financial Weather Map
    4 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Business Intelligence and Why You Need It
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Data Management > Best Practices > Business Intelligence and Why You Need It
Best PracticesBusiness IntelligenceData ManagementData QualityITKnowledge Management

Business Intelligence and Why You Need It

David Rathert
David Rathert
3 Min Read
SHARE

Everybody’s talking about business intelligence (BI), and with good reason. Implementing an effective and comprehensive BI strategy is critical to the success of your business.

Everybody’s talking about business intelligence (BI), and with good reason. Implementing an effective and comprehensive BI strategy is critical to the success of your business.

Why do you even need a business intelligence strategy? Because you need data. You need it to make projections, identify sales trends, establish price points, analyze profits, track product trajectories, and enhance corporate efficiency. You need it to make good decisions about your products and services.

Often, gathering data for reporting and analysis is no easy task. Typically it requires a team of people harvesting information from multiple, disconnected systems, which may produce unreliable results.

More Read

No More Outages: How to Stabilise Your Ecommerce IT Environment
What’s the Difference between Desktop BI and Solution BI?
Affiliate Summit West
Creating a Business Intelligence Culture
A Different Strategy for Solvable Problems in Big Data Predictive Analytics

Let’s say a manager wants to investigate the profitability of a particular product over a specific time period. Maybe he is also interested in who had the greatest volume of sales during that time. In order to get his answer, he (or his team) will need to invest a lot of time combing through customer relationship management (CRM) data, financial and accounting system data, and a few “rogue” spreadsheets.

You probably don’t realize how much of your company’s workload involves performing these types of routine tasks, which crowd out more productive endeavors. Your analysts are likely to be interrupted by special requests from coworkers and burdened with revisions to reporting formats. They will need to track down data components in their various repositories and deal with the constantly changing data set that the manager wants to see.

However, establishing an effective business intelligence strategy dramatically minimizes the time needed for putting this type of report together by organizing your data in a centralized, searchable, connected system. A comprehensive BI solution provides you with the answers you need in a digestible, “business dashboard” format. It also enhances your ability to customize reporting, see new business opportunities and identify where there are problems.

A lack of business intelligence impacts nearly every aspect of your business. Without it, your team spends all of its time sorting through reports to find the right data, paralyzing the decision-making process. Smart organizations establish a unified and comprehensive system that can grow with the company instead of becoming obsolete in a couple of years. This type of system pays dividends immediately: your payroll hours are used more efficiently, your forecasting is more accurate, and your streamlined process makes everyone happier and more productive.

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

fda14abd c869 4da5 943c c036ad8efc2e
How Data-Driven Journalists Are Using API News Apps to Improve Reporting
Big Data Exclusive News
0622cae5 f7d7 4f74 84b5 eabd1a823dca
How Data-Driven Grocery Recommendations Help Shoppers Eat Better With Less Effort
Big Data Exclusive
business recovering from data loss
How Data-Driven Businesses Protect MySQL Databases from Shutdown
Big Data Exclusive
ai driven task management
Reducing “Work About Work” with AI Task Managers
Artificial Intelligence Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Technology Terminology: What’s in a Name?

4 Min Read

Human Resources Analytics – Actionable Insights From Employee Satisfaction Surveys

7 Min Read
ai in e-commerce marketing
Artificial Intelligence

Using AI to Create Customized eCommerce Experiences for Consumers

8 Min Read
Protect Customer Information
Big DataSecurity

Practical Ways to Protect Customer Information

5 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?