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
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Self-Service Data Warehousing for Business People with SAP Information Composer
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Big Data > Data Warehousing > Self-Service Data Warehousing for Business People with SAP Information Composer
Business IntelligenceData Warehousing

Self-Service Data Warehousing for Business People with SAP Information Composer

Timo Elliott
Timo Elliott
4 Min Read
SHARE

infocomposerbanner

infocomposerbanner

I started my career talking about self-service BI, with a product called “Skipper SQL” that let business people flexibly access information using the “objects” of their business: – sales, revenue, products, customer, etc. (you can probably guess what the product name changed to). For the first time, you didn’t need to be a computer expert to access data.

More Read

Why clario? Technologies Converge
Experience vs. Data: Consuming Mark Zuckerberg as Data
How To Refresh Your Gaming Lineup And Accept The Future of AI Gaming
What the “Small Data” Revolution Means for Marketers
Predictive Analytics, an Historical Perspective: Interview with…

But on the back end, it has always been the job of an  expert to actually gather the data and put it in a format that people could use to access the data (data mart, data warehouse, OLAP cube…). In large part, this has been because of the complexity of creating a data warehouse that is robust enough to provide fast, convenient access.

But newer in-memory architectures like SAP HANA are eliminating a lot of the need for redundant layers, and making it easy to analyze detailed, on-optimized data sets. This, in turn, makes it easier to allow business people and departments to gather their own data, upload it, and combine/compare it with corporate sources.

Some of these solutions are separate, add-on solutions to the central corporate environment (such as Excel or PowerPivot). These meet the basic business need, but create new problems in the form of new data silos that have to be managed and secured. These types of solutions have resulted in business-led “rogue” BI implementations, created when central BI is too slow to provide more central solutions. These are the BI equivalent of fast-food: we know it’s bad for us in the long term, but they are at least better than going hungry.

The better solution would be a “balanced diet” — to provide a centralized, corporate environment that not only provides trusted, secure corporate data, but also provides “sandboxes” or “user areas” that let business people upload and manage their own data on the same system. This has been a recurring theme in my “BI of the future” presentations over the years, and it’s not a new idea, as Mark Madsen pointed out in a recent TDWI video. He talks about about the origins of data warehousing as envisaged by Barry Devlin and others, and pointed out that this type of personal store was very much part of that original vision.

The next version of SAP HANA (SP3) delivers a first version of “self-service data warehousing”. It includes a new web-based application called “Information Composer” that lets business people clean, upload, and model their own data, and combine it with trusted corporate sources. There hasn’t yet been a lot of communication about the product, but there’s a fifteen-minute walkthrough video available on the Experience SAP HANA website and you can read the Information Composer documentation.

Because the underlying platform is HANA, data access is already available through the full range of SAP BusinessObjects products. Information Composer is a great opportunity for organizations to regain control over BI installations, allowing the optimal combination of central administration and low total costs of ownership without having to sacrifice the flexibility required by business people.

Here are a few examples screenshots from the video. Cleansing data:

cleansing-data

Finding suitable corporate data:

corporate-data

Choosing how to combine different sources

joins

Adding new calculated fields

calculations

Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

intersection of data and patient care
How Healthcare Careers Are Expanding at the Intersection of Data and Patient Care
Big Data Exclusive
dedicated servers for ai businesses
5 Reasons AI-Driven Business Need Dedicated Servers
Artificial Intelligence Exclusive News
data analytics for pharmacy trends
How Data Analytics Is Tracking Trends in the Pharmacy Industry
Analytics Big Data Exclusive
ai call centers
Using Generative AI Call Center Solutions to Improve Agent Productivity
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

One Simple WebFOCUS BI Best Practice – Personal Backups

7 Min Read

Designed to be used

4 Min Read

Start Up Spotlight: UserVoice

5 Min Read

The Next Generation Enterprise Platform

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.

AI chatbots
AI Chatbots Can Help Retailers Convert Live Broadcast Viewers into Sales!
Chatbots
ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?