Active Intelligence

In these 3 examples, see how Teradata active technologies can be used to support mobile, contact center, and marketing applications. The "Teradata and Mobile – What’s the Connection" audio explains how to use Teradata and our BI partner’s technologies to enrich mobile experiences. 

Everyone hates Contact Centers - with good reason – so the video on the right shows how customer service experiences could dramatically improve by connecting active data and insights to the IVR, ACD, and contact center agents. 

Or watch the BSI video which shows how Big Data Analytics, real-time Teradata Intelligence, and Aprimo Customer Management work together to identify and rectify issues with Dropped Mobile Calls.

Use Teradata to improve operational systems by providing information and insights to internal (and partner) employees know exactly what to do to drive out costs and keep things on track. Time is money! Examples across all industries abound - here are a few from Planes, Trains and Automobile Industries.

Learn about the 6 Active Elements that support Active Intelligence:

• Active Load
• Active Access
• Active Events
• Active System Management
• Active Integration
• Active Availability

The Teradata Active Enterprise Data Warehouse provides an excellent foundation for both traditional and active data warehousing - with real-time data and an order of magnitude more operational users.

What if your frontline people like clerks and managers at the stores, contact service reps at the care center - and your self-service systems including your website and your mobile site - could have the best possible response for each and every customer interaction?

What if the IQ of your people and systems went up by 20-30 points because they KNEW what to say, how to react at all points of customer interaction? That's what Active Omni-Channel Retailing is all about. Leveraging real-time data and customer analytics to do Active Customer Marketing, Sales and Service.

Click on the button below to see the Active Retail Microsite, filled with more Retail customer examples, white papers, and videos illustrating the power of Teradata’s active technologies that support Omni-Channel Retailing.

To illustrate what’s possible with Active, take a look at 3 "investigations".

The Case of the Retail Tweeters show how Brizio Fashion used real-time tweet data to change pricing for "hot" or "cold" products, and to find the alpha influencers on sales.

The Case of the Fragrant Sleeper Hit shows how Great Brands used social media analytics to create the right mix of marketing and product fragrances for their line of skin lotions.

The Case of the Retail Turnaround shows how Taylor & Swift uses web purchase and bailout analytics on Big Data to develop campaigns to drive shoppers who live near stores to do Omni-Channel Retailing.

What if your frontline people like sales clerks at your retail stores, contact service reps at the care center and systems including your website and your mobile sites could be completely up-to-date for each and every customer interaction?

What if the IQ of your people and systems went up by 20-30 points because they knew what to say, how to react - at every point and stage of customer interaction?

What if your people behind the scenes could use big data to discover easily - through social network analytics - the alpha influencers, fast-followers, potential defectors?

That's what Active is all about. Leveraging big data and Next Generation Analytics to do Active Customer Marketing, Sales and Service.

Click on the button below to see the Active CSP Microsite, filled with more communications industry customer examples like Telenor Pakistan, Czech Telefonica, and MTS Russia, white papers, and videos illustrating the power of Teradata’s active technologies that support Next Generation, Big Data Analytics.

To further illustrate what’s possible, and what’s coming, take a look at the M2M video and the 2 Business Scenario Investigation videos.

The Case of the Dropped Mobile Calls shows how dropped call data can be analyzed (offline) to pick out key influencers and high-value customers likely to defect. Then the stream of real-time dropped call data is fed to Teradata, where analytics are run to pick out events that need fast reactions with CRM tools like Aprimo. The Case of the Defecting Telco Customers shows how a telco drilled into data to discover why they were losing customers.