By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData Collective
  • Analytics
    AnalyticsShow More
    data analytics in sports industry
    Here’s How Data Analytics In Sports Is Changing The Game
    6 Min Read
    data analytics on nursing career
    Advances in Data Analytics Are Rapidly Transforming Nursing
    8 Min Read
    data analytics reveals the benefits of MBA
    Data Analytics Technology Proves Benefits of an MBA
    9 Min Read
    data-driven image seo
    Data Analytics Helps Marketers Substantially Boost Image SEO
    8 Min Read
    construction analytics
    5 Benefits of Analytics to Manage Commercial Construction
    5 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
Latest News
big data mac performance
Data-Driven Tips to Optimize the Speed of Macs
News
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
Artificial Intelligence
data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics
data analytics reveals the benefits of MBA
Data Analytics Technology Proves Benefits of an MBA
Analytics
Aa
SmartData 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

3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows

3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows

5 Proven Tips for Utilizing AI with PPC Advertising in 2023
5 Ways AI Technology Has Disrupted Website Development
Fortifying Enterprise Digital Security Against Hackers Weaponizing AI
10 Ways How Artificial Intelligence Is Changing the Content Writing Landscape

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

big data mac performance
Data-Driven Tips to Optimize the Speed of Macs
News
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
Artificial Intelligence
data analytics in sports industry
Here’s How Data Analytics In Sports Is Changing The Game
Big Data
data analytics on nursing career
Advances in Data Analytics Are Rapidly Transforming Nursing
Analytics

Stay Connected

1.2k Followers Like
33.7k Followers Follow
222 Followers Pin

You Might also Like

3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows
Artificial Intelligence

3 Ways AI Has Helped Marketers and Creative Professionals Streamline Workflows

6 Min Read
ai in ppc advertising
Artificial Intelligence

5 Proven Tips for Utilizing AI with PPC Advertising in 2023

10 Min Read
ai in web design
Artificial Intelligence

5 Ways AI Technology Has Disrupted Website Development

7 Min Read
Digital Security From Weaponized AI
Security

Fortifying Enterprise Digital Security Against Hackers Weaponizing AI

11 Min Read

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

giveaway chatbots
How To Get An Award Winning Giveaway Bot
Big Data Chatbots Exclusive
ai in ecommerce
Artificial Intelligence for eCommerce: A Closer Look
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US

© 2008-23 SmartData Collective. All Rights Reserved.

Removed from reading list

Undo
Go to mobile version
Welcome Back!

Sign in to your account

Lost your password?