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
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
    image fx (67)
    Improving LinkedIn Ad Strategies with Data Analytics
    9 Min Read
    big data and remote work
    Data Helps Speech-Language Pathologists Deliver Better Results
    6 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Teradata Active Enterprise Update
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 > Teradata Active Enterprise Update
Business IntelligenceData WarehousingExclusive

Teradata Active Enterprise Update

JamesTaylor
JamesTaylor
4 Min Read
SHARE

Quick update from Teradata to kick off the day focused on Active Enterprise Intelligence. This remains a key theme for Teradata, unsurprising given the focus of Teradata customers on an enterprise data warehouse full of operational data. AEI is about a focus on moving from the back office to the front office – the web, mobile devices etc. This focus is moving from CRM and real-time operations to include telematics, sensors, mobile.

Quick update from Teradata to kick off the day focused on Active Enterprise Intelligence. This remains a key theme for Teradata, unsurprising given the focus of Teradata customers on an enterprise data warehouse full of operational data. AEI is about a focus on moving from the back office to the front office – the web, mobile devices etc. This focus is moving from CRM and real-time operations to include telematics, sensors, mobile. This will increase data volumes by 3-5 times and one of the questions is how to balance the use of Hadoop/MapReduce and the data warehouse – what data is interesting, what should be stored. Dashboards are still hot (sadly, actions driven by analytics seem more useful to me) but AEI is helping finance use data more holistically which is good. Some customer examples:

  • AT&T used a single Customer Enterprise Data Warehouse to help transform finance people from record keepers to advisers. This same warehouse drives dashboards in 2,200 retail stores to give them information on daily sales. This allows store managers and others (some 30,000 people), for instance, to see which promotions are working locally. And this dashboard does not consume much time or processing power thanks to the underlying Active Data Warehouse infrastructure
  • Sabre, who among other things provides technology support to airlines, needed to provide dashboards to the executives at small and medium airlines. These dashboards let executives drill down into operations data, often very real-time information about flights and passengers. It also generates advice as to how to respond to emergencies and monitors company executives to make sure there are no violations of policies (about number of executives on a flight for instance) and alerts corporate travel people.
  • Travelocity uses how you use the website to drive personalized offers based on things like origin, previously shopped destinations, travel interests and recent price drops. Teradata supports a personalized offer box on the website with little or no impact on the warehouse.

Mobile is hot, not least because employees are buying their own iPhones and Androids, and companies are figuring out how to use these as access points to Teradata-powered systems. Right now 97% of phones handle SMS, 43% can handle mobilized websites and 18% have apps. So what’s the right choice? Contextualized systems could be the answer, using all the data in a data warehouse to be as prescriptive as possible. Doing this means that even SMS works – you don’t need a lot of screen real-estate or an app. Clearly many companies are also working on mobilizing  dashboards for managers who move around and on using geolocation data to improve customer service. With a solid active data warehouse platform you have lots of options. Going forward Teradata will continue to partner with both BI and new vendors focused on mobile coupons/messages and on telematics – “smart everything”.

Overall Teradata sees its customers continuing to focus both on putting more, and more real-time, data into their warehouse and drive that into active, mobile applications.

More Read

IBM Acquires Exeros Assets – What does this mean for CA Data Profiler?
What To Know About Using Artificial Intelligence For Big Data Analysis
Shortage in Advanced Analytic Skills? Here’s an Indirect Approach
IBM DB2: Moving into the Era of Big Data
Beyond RDBMS: Databases for Modern Applications
TAGGED:analyticsbusiness analyticsbusiness intelligencedata warehouseenterprise data warehouse
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

sales and data analytics
How Data Analytics Improves Lead Management and Sales Results
Analytics Big Data Exclusive
ai in marketing
How AI and Smart Platforms Improve Email Marketing
Artificial Intelligence Exclusive Marketing
AI Document Verification for Legal Firms: Importance & Top Tools
AI Document Verification for Legal Firms: Importance & Top Tools
Artificial Intelligence Exclusive
AI supply chain
AI Tools Are Strengthening Global Supply Chains
Artificial Intelligence Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Acting on Data Analytics – More than Food for Thought

6 Min Read

BI on the Go: About Functionality and Level of Satisfaction

11 Min Read

Why Can’t We Just Use Prediction Markets?

6 Min Read
big data scientist skills
AnalyticsBig DataHadoopMapReduce

Is Hadoop Knowledge a Must-Have for Today’s Big Data Scientist?

3 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
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

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?