By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    AI analytics
    AI-Based Analytics Are Changing the Future of Credit Cards
    6 Min Read
    data overload showing data analytics
    How Does Next-Gen SIEM Prevent Data Overload For Security Analysts?
    8 Min Read
    hire a marketing agency with a background in data analytics
    5 Reasons to Hire a Marketing Agency that Knows Data Analytics
    7 Min Read
    predictive analytics for amazon pricing
    Using Predictive Analytics to Get the Best Deals on Amazon
    8 Min Read
    data science anayst
    Growing Demand for Data Science & Data Analyst Roles
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-23 SmartData Collective. All Rights Reserved.
Reading: BI Opportunities Outpace Organizations’ Ability to Use It
Share
Notification Show More
Aa
SmartData CollectiveSmartData Collective
Aa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Warehousing > BI Opportunities Outpace Organizations’ Ability to Use It
Business IntelligenceData Warehousing

BI Opportunities Outpace Organizations’ Ability to Use It

Editor SDC
Last updated: 2009/03/04 at 7:00 AM
Editor SDC
4 Min Read
SHARE

Business intelligence (BI) sits at the top of the IT priority list for many enterprises. Enterprises that haven’t paid enough attention now see a need to act, and those that have kept up with BI want to consolidate their siloed implementations.
The promises of BI attract any organization, but how do you get started? Enterprises […]

Business intelligence (BI) sits at the top of the IT priority list for many enterprises. Enterprises that haven’t paid enough attention now see a need to act, and those that have kept up with BI want to consolidate their siloed implementations.

More Read

How AI is Boosting the Customer Support Game

How AI is Boosting the Customer Support Game

AI-Based Analytics Are Changing the Future of Credit Cards
Enterprises Are Leveraging the Benefits of AI-Driven ERPs
AI In Marketing: Is It Worth the Hype?
What Is The Advantage Of Using SDK in AI Technology?

The promises of BI attract any organization, but how do you get started? Enterprises face multidimensional choices, and they cannot start with vendor selection. Tasks such as data governance, matching requirements with logical architectures and picking an experienced architect and implementer should be at the top of the list.

Convergence of structured and unstructured content analyses:

Mability to detect patterns and run what-if scenarios. Consider retail customer segmentation: The old wayodern analytics blends unstructured data with traditional structured data to give users the meant combining customer sales with customer and store demographics.


Today retailers on the cutting edge realize that adding comments and complaints from email and call centers will significantly enhance their segmentation analysis. You could always pore through text manually and code it along criteria you developed, though few ever do because of the time and effort it requires. BI calls for these connections to be automated, so analysts can focus on turning insight into action, instead of hunting through multiple mail systems, phone systems and enterprise applications


Combining data with process awareness.

BI and business process management (BPM) have always addressed a common need separately, bringing people and information into alignment. The operational improvement cycle – learn, design, inform, act and repeat – focuses on increasing efficiency.


But organizations with ambitious strategic goals need to be more than efficient – they need to be effective. BPM might make processing a customer credit application less expensive, but analytics can use sophisticated customer segmentation to increase cross-sell and up-sell ratios in real time during a customer interaction – when it counts.


Expect solutions to combine data and process dashboards, event-based actions triggered by data conditions that initiate a business process, and traditional BI layers (reports, dashboards and analytics) responding seamlessly to business processes across multiple systems.

Entry of relational database alternatives.

The relational database management system (RDBMS) was originally designed to execute small transactions, not to examine large volumes of data with BI queries.


Over the years the technology has caught up, but RDBMSes still have to shoehorn two personalities into one body. Alternate DBMS models will increasingly enable BI for two big reasons: 1) removing the bias between structured and unstructured data, and 2) OLAP query processing.

Explosion of dimensions to support future BI analysis.

Traditional cross-tabular reporting quickly becomes useless after more than a few dozen dimensions, no matter how sophisticated the “slicing and dicing” interfaces are.

One possible approach is so-called “guided analytics,” where users can rapidly mix and match dimensions interactively. Another is visualizing patterns graphically, giving users a big-picture view of extremely large data matrices for identifying trends.

Figure 1: How to Choose a Vendor Category

More info @ dmreview

Editor SDC March 4, 2009
Share This Article
Facebook Twitter Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Data Ethics: Safeguarding Privacy and Ensuring Responsible Data Practices
Data Ethics: Safeguarding Privacy and Ensuring Responsible Data Practices
Best Practices Big Data Data Collection Data Management Privacy
data protection for SMEs
8 Crucial Tips to Help SMEs Guard Against Data Breaches
Data Management
How AI is Boosting the Customer Support Game
How AI is Boosting the Customer Support Game
Artificial Intelligence
AI analytics
AI-Based Analytics Are Changing the Future of Credit Cards
Analytics Artificial Intelligence Exclusive

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

How AI is Boosting the Customer Support Game
Artificial Intelligence

How AI is Boosting the Customer Support Game

6 Min Read
AI analytics
AnalyticsArtificial IntelligenceExclusive

AI-Based Analytics Are Changing the Future of Credit Cards

6 Min Read
ai-driven ERP software
Artificial Intelligence

Enterprises Are Leveraging the Benefits of AI-Driven ERPs

8 Min Read
AI in marketing
Artificial Intelligence

AI In Marketing: Is It Worth the Hype?

8 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 in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?