Tag Archives: Trusted Data

Expert Advice for ACO Success: Gain Consensus on Metrics and Use High Quality Healthcare Data for Better Patient Care

It’s amazing how often Accountable Care Organizations (ACOs) are in the news. This Fierce Healthcare article, Maps of 2012 Medicare Accountable Care Organizations,  states that ACOs are “the biggest change to Medicare in decades.” This Forbes’ article, Obamacare’s Accountable Care Approach Reaches 1 in 10 in US, reveals that “more than 2.4 million Medicare beneficiaries will be receiving care from more than 150 ACOs that have signed up to participate.”

Join a discussion with healthcare industry experts about gaining consensus on ACO metrics and using high quality healthcare data for better patient care.

But what do ACOs need to deliver on their promise of giving coordinated high quality care to Medicare patients at the right time, avoiding unnecessary services and preventing medical errors?

Healthcare industry experts agree on two basics required for ACO success. At a minimum, physicians, hospitals and healthcare providers need:
1) consensus on ACO success metrics to measure performance, and
2) access to timely, high quality healthcare data to better manage patient care and track performance.

Without an agreed upon set of ACO success metrics and better healthcare data management, how can ACOs better manage patients and identify and monitor at-risk patients? Without these basics, how can they improve patient experience, outcomes and healthcare costs?

Bridging the gap and reaching consensus on ACO metrics is one of the greatest challenges for ACOs. The good news is there are experts who can help. Please join us on Wednesday January 23rd for a live Let’s Talk Healthcare Webinar: Bridging the Gap: Reaching Consensus on ACO Metrics. Three healthcare experts:

  • Senthil Balasubramanian, Manager of Decision Support at University of Pennsylvania Health System
  • Maury DePalo, Director of Edgewater’s Healthcare Practices
  • Richard Cramer, Informatica’s Healthcare Strategist

will talk about gaining consensus on ACO metrics, monitoring metrics, making adjustments as needed, and leveraging high quality healthcare data to better manage patient care, healthcare costs and performance.

This is the third live webinar in a three-part series: Let’s Talk Healthcare with Informatica and Edgewater:

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Posted in Healthcare, Master Data Management | Tagged , , , , , , , , , , , , , , , , , | Leave a comment

Three Valuable Ways To Use Your Metadata Manager MDM Tool

You probably know that you can and must validate the integrity of your Data Model using the Metadata Manager Tool workbench (MET), but you can also do much more. In this blog I focus on three additional things you can do with the MET.

Once you have used MET to obtain a valid Data Model, you can continue using MET to:

Migrate your project from development to test, and to production via change lists. (more…)

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Posted in Data Quality, Informatica University, Master Data Management | Tagged , , , , , , , | 1 Comment

Action Plan for Hadoop Data Integration: Conclusion of Hadoop Blog Series

checklistI had the opportunity to review and comment on the draft of a new Hadoop technical guide. It’s great to see the published paper: Technical Guide: Unleashing the Power of Hadoop with Informatica. This guide outlines the following five steps to get started with Hadoop from a data integration perspective.

(1) Select the Right Projects for Hadoop Implementation

Choose projects that fit Hadoop’s strengths and minimize its disadvantages. Enterprises use Hadoop in data-science applications for log analysis, data mining, machine learning and image processing involving unstructured or raw data. Hadoop’s lack of fixed-schema works particularly well for answering ad-hoc queries and exploratory “what if” scenarios. Hadoop Distributed File System (HDFS) and MapReduce address growth in enterprise data volumes from terabytes to petabytes and more; and the increasing variety of complex multi-dimensional data from disparate sources. (more…)

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Posted in Data Integration, Enterprise Data Management | Tagged , , , , , | Leave a comment

Reflections On Gartner’s 2011 Magic Quadrant For Data Quality Tools

Gartner recently released their 2011 Magic Quadrant for Data Quality Tools and I’m happy to announce that Informatica is positioned in the Leaders’ quadrant.  We believe our position is a testament to the fact that customers like Station Casinos and U.S. Xpress continue to turn to Informatica to solve their most critical data quality challenges.

The publishing of the Magic Quadrant is often a great opportunity to reflect on the state of the data quality market.  It should come as no surprise that data quality as a business imperative isn’t going away any time soon.  We are continuing to see customers looking for help and expertise in solving a wide range of data quality problems, largely associated with data governance initiatives, master data management (MDM), business intelligence and application modernization.  And the association of data quality in these areas is only getting stronger. (more…)

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Posted in Big Data, CIO, Data Governance, Data Quality, Informatica 9.1, Pervasive Data Quality, Profiling, Scorecarding | Tagged , , , , , , , , , | Leave a comment

Informatica Data Quality 9.1: Discover, Profile And Cleanse – Oh My!

Today is an exciting day for Informatica as we go live with the launch of Informatica 9.1.  With this new release we are further extending our platform vision to bring to market industry leading data integration, MDM and data quality capabilities.

With the launch of Informatica 9.1, we’ll be introducing new capabilities aimed at making the process of managing data quality that much easier.  Here’s a sneak peak at what’s in store: (more…)

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Posted in Big Data, Data Governance, Data Quality, Informatica 9.1, Pervasive Data Quality, 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

Gartner BI Summit Shows Strong Demand For MDM In APAC

Master data management is a hot topic in Asia Pacific. That was shown by the keen interest in MDM during Gartner’s BI Summit in Sydney, Australia, in end-February, and in a recent survey that Gartner conducted of the APAC community.

In that survey, master data management was ranked the #1 data-related technology under consideration for deployment in APAC. Forty-two percent of Gartner’s respondents put MDM at the top of their lists, ahead of dashboards/scorecards, predictive analytics, performance management, and 14 other technologies. Given that the survey found only 20 percent of APAC organizations are using MDM today, there’s clearly a lot of room for growth. (more…)

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Posted in Data Governance, Master Data Management | Tagged , , , , , , , , , , , , , , , , , , , , | 1 Comment