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: Analytical Maturity Is Not Universal
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 > Analytical Maturity Is Not Universal
AnalyticsBest PracticesBusiness IntelligenceSoftware

Analytical Maturity Is Not Universal

Roman Vladimirov
Roman Vladimirov
4 Min Read
business intelligence software
SHARE

business intelligence softwareBusiness intelligence processes come in many different shapes in the modern enterprise world. Companies have a choice regarding whether they want to delve into big data, deploy dashboards on mobile devices, or put self-service BI tools in the hands of every single employee. This means there are an endless assortment of approaches they can take to suit various industries and unique situations.

business intelligence softwareBusiness intelligence processes come in many different shapes in the modern enterprise world. Companies have a choice regarding whether they want to delve into big data, deploy dashboards on mobile devices, or put self-service BI tools in the hands of every single employee. This means there are an endless assortment of approaches they can take to suit various industries and unique situations. If a firm needs to address a certain type of problem, it can get the answers it needs with the current generation of tools. According to some, however, leaders have not become comfortable setting up their analytics projects.

Maturity not assured
According to Insurance Tech contributor Gerald Shields, many companies that could have mature and well-developed BI projects are not there yet. Shields stated that these companies are still throwing resources at their analytics providers at an unceasing rate, rather than purchasing solutions and then looking inward to take stock of what they already have. He stated that firms that have concentrated on maturity should be able to measure progress, take actual value from their processes and have support structures in place. This type of development requires powerful self-knowledge and good management on top of a solid bed of software.

This ties back into one of the myths that has haunted BI software for years: that bigger is always better. If firms find a solution they are comfortable with, it can become an integral part of their processes for a significant amount of time. Shields noted that if businesses inspected which processes are actually delivering value, they would be better positioned. After all, the difference is rather pronounced: Using business intelligence to its fullest extent leads to a higher monetary return. Buying tons of software or going on an analyst hiring spree just depletes the corporate coffers.

More Read

First Look – Ideate
10 Trends Shaping Big Data in Financial Services
A Cornucopia of Complicated Communications
BI in Brussels (Against Economic Turmoil)
6 Tips for Building a Successful AI Software Business

Strong future
If leaders look clearly at the BI landscape and pick their paths logically instead of in a scattershot manner, the next few years could be very good for analytics programs. A recent Forrester report on the TechAmerica Europe seminar revealed that industry leaders have high hopes for the progress companies can make through using data effectively. For example, speaker John Boswell summed up the advantages modern users have when it comes to data access, equipped as they are with constantly-connected technology and new ways to store their powerful resources. He highlighted both the simple use of this data and the increasing ability to share it between users.

(BI: bigger is not always better / shutterstock)

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

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
data center uptime
Why Rodent-Resistant Conduits Are Critical for Data Center Uptime
Big Data Data Management Exclusive Risk Management
big data and AI
The Intersection of Big Data and AI in Project Management
Artificial Intelligence Big Data Exclusive

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

Information used to be a river, flowing in one predictable…

1 Min Read

Means and Proportions with two populations

7 Min Read

Shining Some Light on Collaborative BI

3 Min Read

Information Builders’ Summit 2009

2 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 chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots
AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
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?