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Top Considerations for Moving Your Data Warehouse to the Cloud

The blog “5 Ways Your Data Warehouse Is Better In the Cloud” outlined the advantages of running your data warehouse in the cloud. In this blog, we look at the high-level considerations for migrating your data warehouse to the cloud. Building the Business Case for Migrating Your Data Warehouse Many companies facing expensive on-premises product […]

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Cloud-Based Data Lakes: Healthcare Enterprise Architecture Zones

While there are many reasons to push data integration projects forward, healthcare organizations are often held back from using their data by incompatible formats, limitations of databases and systems, and the inability to combine data from multiple sources. This is why cloud-based data lakes have replaced the enterprise data warehouse (EDW) as the core of a modern […]

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3 Reasons Why an Enterprise Data Warehouse Works

Is your job composed of data analysis? Are you in charge of mapping or testing a healthcare enterprise data warehouse (EDW) implementation? Are you working with programs on Oracle, DB2, Google BigQuery or Db2 Warehouse on Cloud? Why? Employees can often get accustomed to the daily routine and lose sight of the big picture. Organizations […]

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3 Key Considerations for Implementing IBM’s Unified Data Model

Healthcare organizations have been implementing the IBM UDMH (Unified Data Model for Healthcare) for the last seven years because they realize that connecting critical data helps gain insight into improving care, controlling risk, managing population health and providing accurate reporting both internally and externally. To reap these benefits, there is a critical need to plan […]

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Webinar: The Role of Data Lakes in Healthcare

According to information technology research and advisory company Gartner, there is a market shift towards hybrid approaches to data management, as companies look to solve complex challenges with a mix of alternative and traditional deployments. Healthcare providers and health plans are asking the question, “Do we need an enterprise data warehouse, a data lake, or […]

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Enterprise Data Warehouses: Strategic or Tactical? #HIMSS16

Assembling data on a large scale is both a technical and political challenge. I’ve been involved with multiple hospitals where the finance and clinical teams never really collaborate and therefore the lenses put on either domain are not terribly realistic. I won’t even start about the Research part of this equation! Truly merging and using […]

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Northwestern Medicine Leverages Epic to Enable Value-Based Care

The transition from a fee-for-service model to a value-based care model requires healthcare organizations to re-evaluate their technology and in most cases invest in new solutions. Population health management is a focal point for organizations amidst the changes in the delivery model and payment reform and hospitals and health systems rely on technology to transform […]

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Disruptive Analytics at #PopHealth15

I was at the Population Health Colloquium this past week presenting with @LesliAdams from Oracle’s HSGBU Strategy Team discussing the age old question of “Who champions the EDW in a hospital setting?” Our presentation explored four types of change (Evolutionary, Disruptive, Imposed and Deliberate) and how all are needed in Healthcare. Group polling revealed that […]

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Webinar: Healthcare Enterprise Data Model: Buy vs Build Debate

The healthcare industry is undergoing an extensive transformation and the changes are putting pressures and demands on organization leaders. Healthcare executives are searching for ways to improve measurable outcomes not only because of the impact they have on the financial health of their organization, but because it is the right thing to do. Organizations are […]

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Webinar: Healthcare Enterprise Data Model: Buy vs. Build Debate

Transformation is sweeping across healthcare in the United States at a rapid rate. Healthcare organizations, regardless of size, need to embrace new technologies in order to keep up with the quickly changing landscape and comply with evolving regulatory requirements. The solutions to these challenges have one thing in common, the need for accurate information. In […]

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Upcoming Webinar: Combine Data to Enable Translational Medicine

The success of translational medicine is in the data and the ability to combine multiple sources of data to enable better patient care and outcomes. Unfortunately most academic research organizations (ARO) and hospitals have multiple systems that house data creating an inability to mine through the data to identify clinical insights, disease patterns or treatment […]

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No Easy Outs in Healthcare BI, but a New Approach

When you played baseball as a youngster, and stepped into the batter’s box, the last thing you wanted to be was an “easy out”. Ironically, today many healthcare organizations are looking for the “easy out” to rapidly develop the business intelligence reporting needed to address regulatory reporting demands, population health management and chronic condition management, […]

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Beyond the BI Strategy: 4 Steps to ROI

In a recent issue of PC Today (www.pctoday.com), there was a quote by Cindi Howson of BI Scorecard that really stuck in my mind: “There are far too many cases of companies having good data, good tools, but a culture that’s a barrier to using that data for action.” Frequently, outside consultants are brought into […]

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Intelligent Taxonomies

In my past, I’ve had to perform Data Warehouse (DW) Assessments where we need to assess an organization’s DW maturity. In doing so, it’s important to categorize the things that you’re measuring to give it more context. Here is a two part blog where I provide a simple definition of BI and what categories are […]

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