Tag Archives: Single View of Customer

Matching for Management: Business Problems

So now that you understand the terminology and concepts let’s talk about business problems that can be addressed with this technology.

Inability to get to single view of customer because of matching issues

In the examples above, you can see where it can be a challenge getting the correct customer records into a single cluster. If you do not get all the same customer records together properly, you may not be treating particular customers appropriately. One example is not identifying your top customers because they are represented by multiple account numbers. Worse can be treating a very good customer poorly because you think they had only had one small transaction with you but in reality he just did not log in or use his frequent shopper card. This poor service could jeopardize the entire account. (more…)

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Posted in Data Quality | Tagged , , , | Leave a comment

Making Your Data Work for You

Yesterday, CIOs from Informatica, Qualcomm and UMASS Memorial Healthcare participated in a panel to discuss how to deliver business value from applications while managing “data deluge” – the ever increasing growth and fragmentation of data across the application portfolio. Having worked in the IT Applications area for 15 years, I know firsthand how big a challenge this can be for organizations.

We are experiencing an unprecedented growth in the sheer amount of data that can be made available. Sites like Facebook and Twitter provide exciting new insights into user preferences and habits and the move to electronic systems for utility companies and healthcare organizations means that an even larger set of information can be stored electronically for reference and used to gain new business insights. Even internal systems such as sales automation, marketing and support applications contribute to this overwhelming tide of data that can be extremely valuable but hard to unlock. (more…)

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Posted in Big Data, Customer Acquisition & Retention, Customer Services, Customers, Data Integration, Data Quality, Identity Resolution, Master Data Management | Tagged , , , , , , , | Leave a comment

Why MDM and Data Quality is Such a Big Deal for Big Data

Big Data is the confluence of three major technology trends hitting the industry right now: Big Transaction Data (describing the enormous growing volumes of transactional data within the enterprise), Big Interaction Data (describing new types of data such as Social Media data that are impacting the enterprise), and Big Data Processing (describing new ways of processing data such as Hadoop). If you can imagine companies having problems with business-critical master data such as customers, products, accounts, and locations at current data volumes, now that problem is compounded many-fold with the growth into Big Data. That’s where MDM and Data Quality come in as the fundamental solutions. So, why is MDM and Data Quality such a big deal for Big Data? (more…)

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Posted in Big Data, Customer Acquisition & Retention, Data Aggregation, Data Governance, Data Integration, Data Quality, Enterprise Data Management, Identity Resolution, Informatica 9.1, Informatica Events, Master Data Management, Profiling, Scorecarding | Tagged , , , , , , , , , , , , , , , , | Leave a comment

Harnessing Social Media With Informatica

Improving sales and service through customer centricity requires listening to and understanding your customers. And where are customers speaking these days?

You guessed it—social media. Just think about it. Each day, customers tweet 50 million times on Twitter and update their Facebook status 60 million times. Add in LinkedIn and user reviews and YouTube and blog commentary and more and you’ve got a customer data gold mine and a new frontier for marketing.

(more…)

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Posted in Cloud Computing, Customer Acquisition & Retention, Customer Services, Customers, Data Aggregation, Data Governance, Data Integration, Data Integration Platform, Data Quality, Data Synchronization, Enterprise Data Management, Financial Services, Healthcare, Identity Resolution, Master Data Management, Pervasive Data Quality, Public Sector, Telecommunications, Vertical | Tagged , , , , , , , , , , , , , , , , , , | 2 Comments

Seven Ways To Reduce IT Costs With MDM

We often hear from our Informatica MDM customers about the main benefits they’ve realized from master data management (MDM)—smarter, faster decision-making and greater productivity though timely and reliable data. What’s less widely recognized is that MDM is proving to be a powerful cost-saving engine, as well.

For instance, a global investment bank saved millions of dollars by using Informatica MDM to virtually eliminate maintenance and support costs for a complex web of point-to-point integrations. If you’re using or considering MDM, it’s a smart idea to assess the costs of unintegrated data systems and examine cost-saving strategies and tactics available through a multidomain, model-driven MDM solution.

We’ve just published a new white paper, “Seven Ways to Reduce IT Costs with Master Data Management,” that drills down into using MDM to target the redundancy, waste, inefficiency, and unnecessary maintenance and licensing typical of a heterogeneous data infrastructure. A sampling of these seven critical areas includes:

  • Interface costs: How you can minimize costly point-to-point integrations that support key business processes
  • Redundant third-party data: How you reduce acquisition costs of duplicate data from third-party providers such as Dun & Bradstreet or Acxiom
  • Data cleanup: How you can efficiently centralize data quality to eliminate expensive manual efforts (more…)
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Posted in Business Impact / Benefits, CIO, Data Quality, Enterprise Data Management, Master Data Management, Operational Efficiency | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | Leave a comment