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Enterprise Information Management

Companies are starting to realize the value of data as a strategic asset. Gone are the days that data was strictly for static reporting of what happened in the past. In today’s world data is being used for operational insights, predicting future events and “Googling your data”. In order to fully exploit the data of the organization, the data must be integrated, trusted, secure and available.

Problems and Their Symptoms

Burdened under an ever-increasing overload of information
Complexity of the information is unmanageable

Data scattered throughout the enterprise and not easily accessible to end users

Data is stale and/or not actionable when delivered

Security and/or quality of data is suspect

Challenges in meeting new and emerging legal and regulatory requirements

Desire to “Google” the enterprise

Solutions

Enterprise Data Strategy
Actionable, incremental roadmap for leveraging corporate data assets and converting them into new insights that ultimately impact revenue. More>>

Data Integration
The integration of unstructured, external, and proprietary data can be a complex and often daunting task. More>>

Reporting and Analytics
Robust reporting and analytical capabilities allow an organization to leverage data to the fullest extent. More>>

Data Quality
Ensuring that the information consumed by the end users is in alignment with their expectations. More>>

Data Governance
The highest quality, highest value data assets from all relevant and appropriate sources are available to all data consumers. More>>

Data Architecture
A robust, scalable and extensible data architecture that supports the required capabilities of the organization. More>>

Related Thinking

Healthcare Analytics – A Proven Return on Investment: So What’s Taking So Long?
Ryan Hayden 7/20/2010

That’s right; the significant majority of operating rooms DO NOT have an integrated data infrastructure. More>>

Picis Exchange Global Customer Conference – “It’s All About the Data”
Ryan Hayden 6/29/2010

The most frequent discussions centered around a few major challenges the healthcare industry must deal with. More>>

Analyzing Clinical Documentation Requires Discrete Data 5/26/2010

Healthcare is an industry that’s core infrastructure, its backbone of information centered on diagnosis, procedure, and other treatment and care delivery codes, is broken. More>>

Implementing Healthcare Service Lines – Inherent Data Management Challenges and How to Overcome Them
Rob DelSignore 5/4/2010

From a data management perspective, Service Line management presents a number of interesting challenges. More>>

Implementing Healthcare Service Lines – Gaining Competitive Advantage by Focusing and Optimizing the Enterprise Mission
Maury DePalo 5/4/2010

The notion of a Service Line is certainly not new, and there are countless examples from other industries where firms have made the transition...More>>

How to heighten core measure compliance
Ryan Hayden 4/30/2010

The most critical aspect of high core measure compliance, whether its SCIP in the OR or Pneumonia, AMI, and HF in the ED, is electronic, discrete data capture. More>>

Electronic Medical Records ≠ Accurate Data
Martin Sizemore 4/26/2010

As the volume of individual data elements expands to encompass 1,000 health facts per patient, there is an urgent need for electronic tools to manage the quality, timeliness and origination of those data. More>>

Organizational Transparency: Introduce Your IT Team to the Business Users
Ryan Hayden 4/15/2010

More and more large healthcare organizations are realizing it’s not just disparate data scattered across the technical landscape that’s causing headaches, its’ siloed departments as well. More>>

How does a data driven healthcare organization work? 3/22/2010

As the pressure increases for accountability and transparency for healthcare organizations, the spotlight is squarely on data: how does the organization gather, validate, store and report it. More>>

Workbenches, Lenses and Decisions, Oh My! A Data Quality Software
William Sharp 3/9/2010

With so many data quality options, could it be that the data quality market has become so saturated that the difference between offerings has become obscured? More>>

It’s our data that’s hurting us! – Transparency in a consumer-oriented healthcare marketplace
Martin Sizemore 3/9/2010

The irony of rating sites is that they are dependent on data that is provided by the hospitals, doctors and other allied providers – it is their very own data that they are being judged by. More>>

from Your Healthcare Analytics Program – Key Program Components
Maury DePalo 3/9/2010

The following key components appear in every successful BI Analytics program. And the sooner you can bring focus and attention to these critical areas, the sooner you will improve your own chances for success. More>>

Is it Healthcare Reform or Healthcare Payer Reform?
Chris Downs 2/23/2010

Most people believe that “Healthcare Reform” means reform of the providers, but if you look at the system in total, is the problem with the providers or payers? More>>

Data Profiling: The BI Grail
Tom Eastlake 2/18/2010

All data integration/warehousing/BI efforts benefit from the proper application of data profiling and a proactive data quality effort, early, often, and as aggressively as possible. More>>

Driving Value from Your Healthcare Analytics Program
Maury DePalo 2/11/2010

The sooner you can bring focus and attention to these critical areas, the sooner you will improve your own chances for success. More>>

Data Darwinism – Evolving your data environment
Mike Faloney 2/11/2010

The plan is simple on the surface, but not always so easy in execution. It requires an objective assessment of where you are compared to where you need to be. More>>

Healthcare IT Gets Snubbed in “State of the Union”……So What!
Ryan Hayden 2/4/2010

How, with tackling the exorbitantly high cost of healthcare as the single highest profile item on his desk, did he forget to mention Healthcare IT (HIT)? More>>

Data Darwinism – Capabilities that provide a competitive advantage
Mike Faloney 2/2/2010

Innovation must be aligned with the strategic goals and objectives of the company. The landscape is littered with examples of innovative ideas that didn’t have a market. More>>

Data Darwinism – Are you on the path to extinction?
Mike Faloney 1/28/2010

So what makes the difference between being the king of the jungle or being prey? The ability to make the right decisions in the face of uncertainty. More>>

Informatica Data Quality Matching Algorithms: Eliminate duplicates and reduce costs
William Sharp 1/28/2010

I worked with a marketing group and discovered close to one million duplicate customer records. At an average cost of $0.45 per mailer, the estimated marketing operations cost reduction was $450,000. More>>

Tackling the Tough One: Master Data Management for the Healthcare Enterprise
Martin Sizemore 12/23/2009

Governance in healthcare must begin with an understanding of data as an asset to the enterprise. More>>

Clinical Alerts – Why Good Intentions Must Start as Good Ideas
Ryan Hayden 11/19/2009

Much has been made about the advantages of clinical alerts especially with their use in areas high on the national radar like quality of care...More>>

Free Text Clinical Documentation to Data-rich Actionable Information
Ryan Hayden 11/4/2009

I want to emphasize a capability of Amalga Life Sciences that I hope finds its way into healthcare provider organizations, and quick! More>>

Fast Track Your Enterprise CRM Selection
Jim Wright 9/23/2009

Why do so many CRM software selection processes begin with matrices of 1000 or so features, when we all know that a vendor in the running has what we need? More>>

The Microsoft Clinical Information Feedback Loop
Ryan Hayden 9/10/2009

Microsoft’s new strategy could become a model for improving the efficiency of clinical research, by drastically reducing the most costly resource needed for clinical trials, time. More>>

Begin at the end … ensuring data quality success!
William Sharp 7/21/2009

It is critical to the success of a data quality project to have clear goals aligned with a business initiative, and ways these goals can be measured. More>>

Physicians Insist, Leave No Data Behind
Ryan Hayden 7/9/2009

The problem with the disparity between what clinical users would like and what technical support staff can provide. More>>

The Patient Centered Medical Home (PCMH)
Ryan Hayden 6/3/2009

Success is based on the ability of a team of providers to access accurate and updated patient data across care settings and over time. More>>

Knowledge-based computing: next generation of business intelligence?
Martin Sizemore 5/27/2009

Enter Wolfram Alpha, as an “answer” engine. It could easily be a glimpse of the next generation of business intelligence and decision-support systems. More>>

IT Cost Cutting and Revenue Enhancing Projects
Ahmed Hafeez 5/14/2009

When the times are tough IT departments tend to hunker down and act like hibernating bears – not recognizing the opportunity that a recession brings. More>>

Are your KPIs creating a no-win situation?
Joanne Wortman 5/7/2009

The key, of course, is to strive for balance when implementing KPIs. More>>

Feel Like Your Pants Are Down - Check Your Data
David Clancey 4/9/2009

Does anybody really want to go into the C-Suite and say, "Our corporate data may not be, uh, kosher?" More>>

Enterprise Information Strategy in 2009
Rob DelSignore 1/28/2009

A well executed strategy provides an education for stakeholders and builds consensus among individuals who may have never sat around the same conference room table before. More>>

If Master Data Management is on your agenda 12/10/2008

Many organizations are currently working on Master Data Management (MDM) strategies as a core IT initiative. One of the fastest paths to failure for these large, multiyear initiatives is to ignore the quality of the data. More>>

Business Intelligence: Avoiding “Operation Mincemeat”
Stacey Cheese 10/18/2008

I do not think we all need to be reminded of what Business Intelligence can do for us today – the facts and the benefits are plain and clear – take your data and make it actionable. More>>