Cloud computing brings business intelligence giants to accelerate mergers and acquisitions ambitions

Source: Internet
Author: User
Keywords Data warehousing giants business intelligence ambition mergers and acquisitions

Today, the four major integrated BI providers IBM, SAP, Microsoft, Oracle are becoming the mainstream of the market, they are more willing to provide end-to-end integrated solutions, even provide the integration of BI functions of business software or management software, making the BI market looks more like the world of the four giants. Looking around, the specialized bi market is like the Cretaceous period after the drastic changes in the environment, only the SAS software of data Warehouse manufacturer Teradata and the previous end data mining analysis.

Therefore, it is not surprising that the two remaining major manufacturers announced strategic partnerships and launched innovative cooperation plans at the Teradata Partners ' conference held in Las Vegas this year. Earlier this year, two companies launched the first phase of the "database Within" (In-database) Intelligent Analytics feature in the Teradata Environment, and the strategic partnership of the "Advantage Plan" (Advantage program) includes new products and packaged services, Coverage Analysis (Analytics), anti-money Laundering (anti-money laundering), credit risk (credits disorientated), Enterprise Intelligence (Enterprise FDI), Optimization services (optimization Services), customers can quickly make business decisions and take action based on the results of the analysis.

Large: PB-level users

The growing popularity of BI vendors is linked to data growth across industries worldwide, as well as the scale, power and complexity of today's enterprise-class data warehouses. At present, there are five customers with more than 1PB (1024TB) of Teradata Data Warehouse environment, the amount of data processed daily up to dozens of or hundreds of TB.

These five PB users include an online auction site with 5PB data in a Teradata Data Warehouse environment, a retail giant with a data volume of 2.5PB, Two large financial services organizations with data volumes of 1.5PB and 1.4PB respectively, and a manufacturing enterprise with 1PB data in a data warehouse environment. In addition, a total of 35 Teradata customers have more than 100TB of data, and this number continues to grow.

The continued decline in storage costs makes it easier for companies to profit from business intelligence decision analysis. "Retailers collect consumer information and inventory data for customer relationship management and supply chain optimization, and manufacturers and transport companies also collect more information about supply chains and logistics to further improve efficiency," says Darryl McDonald, Teradata's chief marketing officer. Financial institutions are clearly brewing bigger risk-management projects. By analyzing website clicks and transactions intoIt is becoming more and more feasible to gain operational and competitive advantage by mass data such as volume.

But simply "storing" PB-level data does not help the enterprise grow ahead of its competitors. "The Teradata system can perform intensive data mining and generate hundreds of complex reports, while supporting 10,000 users ' concurrent business queries, all based on the same data," said McDonald proudly. "We are the Swiss Army knife in data management."

Although the 5PB-level figures at the ebay Data Warehouse are impressive, Oliver Ratzesberger, senior director of the ebay architecture and Operations department, says the most important number is ROI, "intelligent Analytics has been bottom-up, Penetrating our DNA from top to bottom, the cost is expensive but the potential return on investment is high. "The

McDonald says:" Many new customers may have a fancy for Teradata's huge data capacity, while most customers are attracted to ROI, which in most cases is achieved in a short time. "For example, Teradata, a large financial services customer, announced a 100% return on investment only four months after the Data Warehouse was installed, while the figure rose to 300% per cent a year later.

(editor: Heritage)

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