Teradata BI Dashboard - Locus IT Services

Teradata BI Dashboard

Teradata BI Dashboard

To bring fast, enterprise reporting capability to Hadoop, Think Big, a Teradata company, today introduced the Teradata BI Dashboard Engine for Hadoop. With Teradata BI Dashboard Engine for Hadoop, it is now possible for organizations to quickly access and report on big data in Hadoop-based data lakes to make agile business decisions.

For the first time, the Teradata BI Dashboard Engine for Hadoop offers organizations the ability to get summarized Hadoop data in under a second, without having to go through transformation and modeling processes.

Defining Teradata BI Dashboards

The Business Intelligence dashboards are similar to car dashboards they provide multiple indicators or reports in a highly visual way. A BI dashboard may comprise one or all of the following visualizations:

  • A map that color-codes sales performance
  • A trend line that tracks stockouts
  • A cross tab of top-selling products
  • A key performance indicator (KPI) with an arrow to show whether the sales are occurring according to plan

Teradata BI Dashboard software has recently become more sophisticated and powerful:

  • Geographic maps are now live so hovering a cursor over a particular region displays the additional information, allowing users to drill down for details.
  • Trend lines that used to take up half of the screen now may start as spark lines, condensing 10 years of data into a space the size of a word.
  • Interactive sliders allow the dashboard users to zoom into particular time periods.
  • Bullet graphs increasingly replace the traditional gauge dials to more effectively display actual and target information.

The Teradata BI Dashboard Engine distills terabytes of data per hour into billions of aggregates, which can then be queried by business users in under a second when the Dashboard Engine for Hadoop is coupled with business intelligence visualization tool such as Tableau. The integration allows a user to report on big data in Hadoop that don’t reside in the data warehouse, and this can be done at scale, with very few limitations.

Metrics and Dashboards

For the metrics and dashboards to be successful, they must be pertinent. If the dashboard does not display the details that most affects the business or an individual user, it won’t be used. While this sounds obvious, its a characteristic that is hard to achieve. Far too often, the potential users say most of the BI tools and applications delivered are irrelevant to them.

In the process of building the dashboards, IT often asks users what they want. This creates a problem, that users rarely know what they want until they see it. Furthermore, they may not even know what is possible. In this regard, if the business users and the IT can build dashboards more collaboratively, the end design will be more germane. The Agile development techniques are helpful in achieving greater impact. Utilizing another approach some of the companies will push as much of the dashboard development directly to the business units to improve the relevance.

As a technology, dashboards and the metrics presented by them provide business people a way of monitoring the state of the business at a glance, but the ultimate value lies in transforming the insight gleaned from a dashboard to action.

One of the biggest technical challenges with many dashboards is that when they stop with the warning only. If dashboard users cannot investigate the problem further, the dashboards experience lackluster success. Managers have to call the experts to perform further analysis or run queries in isolation from the dashboard discovery.

The degree to which the company culture supports fact-based decision making and subsequent action can be difficult to assess and transform. A starting point is to understand how the incentives prompt action once information is received. In the case of the aforementioned call center, the agents earn a commission according to sales, so the dashboard is a meaningful tool to help them improve their commissions. Financial compensation, however, is the only one form of incentive. Others include:

  • A desire to win or to outperform colleagues
  • A desire to do a good job
  • Wanting to remove or avoid a frustration, whether its a co-worker conflict or complaining customers

The Teradata BI Dashboard Engine for Hadoop offers exceptionally fast ingestion of new data, without requiring that the business users wait for data to be reloaded, or for the refresh of OLAP cube calculations. Most importantly, the BI Dashboard Engine for Hadoop handles many forms of multi-structured data, such as click stream, mobile phone logs, sensor, and JSON .

To support the BI Dashboard Engine for Hadoop, Think Big provides installation and expert implementation services to help organizations develop a solution that fits their specific business needs. The ability to report on the real-time event data in Hadoop enables customers to make smarter, data driven-decisions, for example:

  • Hospital groups can use the healthcare data to track provider utilization, understand prescription trends, and monitor disease outbreaks.
  • Manufacturers are able to monitor the sensor data to understand which products, components, configurations, or parts are unreliable and failing over time.
  • Companies offering consumers set-top boxes or other devices are better able to understand the consumer trends in real-time
  • Retailers can quickly monitor the consumer responses to ads and on-site behavior and react with changes in marketing strategy, including email campaigns, price adjustments, and special offers.

BI Dashboard Engine for Hadoop will help organizations report and analyze event data in seconds without concerns about data volumes. We at Locus IT provide ways to better store and analyze large amounts of multi-structured data. For more information please contact us.

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