Tag Archives: Enterprise Data Warehouse

Search Advertising – The New Marketing Mantra

Search Advertising also known as Search Engine Marketing (SEM), is a totally unique medium for attracting new customers. It is a method of placing online advertisements on Web pages that show results from search engine queries. Through the same search engine advertising services, advertisements can also be placed on Web pages with other published content. It is a multi-billion dollar industry. Advertising on Google, Yahoo and MSN gives you a total reach of roughly 86.4% of all Internet users. With such a broad reach, Search Advertising is one of the most extensible forms of advertising available, with added benefits that other forms of advertising are lacking.

In Search Advertising advertisers pay the website owner for clicks on their ads. There are two major types of Search Advertising: Sponsored Search and Content Placement Targeting. (more…)

FacebookTwitterLinkedInEmailPrintShare
Posted in Big Data | Tagged , , , , , , , , , , , , , , , , , , , , | Leave a comment

Building A Better Data Warehouse

The devil, as they say, is in the detail. Your organization might have invested years of effort and millions of dollars in an enterprise data warehouse, but unless the data in it is accurate and free of contradiction, it can lead to misinformed business decisions and wasted IT resources.

We’re seeing an increasing number of organizations confront the issue of data quality in their data warehousing environments in efforts to sharpen business insights in a challenging economic climate. Many are turning to master data management (MDM) to address the devilish data details that can undermine the value of a data warehousing investment.

Consider this: Just 24 percent of data warehouses deliver “high value” to their organizations, according to a survey by The Data Warehousing Institute (TDWI).[1] Twelve percent are low value and 64 percent are moderate value “but could deliver more,” TDWI’s report states. For many organizations, questionable data quality is the reason why data warehouses fall short of their potential. (more…)

FacebookTwitterLinkedInEmailPrintShare
Posted in Data Quality, Data Warehousing, Enterprise Data Management, Master Data Management | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | Leave a comment

Answering One Simple Question Shouldn’t Take Six Long Weeks

The CEO of a global technology products manufacturer had a simple question: “I need a list of our top 400 global customers by revenue—immediately.”

The boss got his answer—six weeks later.

That’s how long it took the company’s IT team to root through disparate applications, engage data owners in various business units and geographies, and manually reconcile granular data to answer a basic question that bears directly on the bottom line.

It’s a true story, and one with a happy ending. This multibillion-dollar company implemented Informatica MDM for multidomain master data management (MDM). It exploited the solution’s capabilities and followed best practices in aggressively tackling business-critical data challenges.

Learn about the key business problems solved by MDM as well as best practices  in our white paper, “A GPS for Your MDM Journey”. (more…)

FacebookTwitterLinkedInEmailPrintShare
Posted in Business Impact / Benefits, Customers, Data Quality, Data Warehousing, Master Data Management, Mergers and Acquisitions, Operational Efficiency | Tagged , , , , , , , , , , , , | 2 Comments