A Managed Care Expert Looks at the Challenges Facing Providers As They Plunge into Risk
Jul 23, 2021
Having timely, reliable information is critical to the success of nearly any digital transformation initiative. Yet many organizations still struggle with essentially the same data management challenges that existed when I managed my first data warehousing implementation engagement in 1998. A few of these issues include the following:
Lack of the requisite tools, skills, and resources to design, build, and deploy the platforms required for enterprise analytics
Data is untrusted, inaccessible, or difficult to use for self-service analytics
Lack of data ownership and stewardship roles, responsibilities, and processes to monitor and improve data quality and information consistency
These challenges are exacerbated by tightening budgets, increasing pressure to implement analytics solutions within an ever-faster timeframe, and the stark reality that the pool of available expert resources is shrinking quickly. To make matters worse, many vendors are selling “easy button” solutions that aren’t sustainable in the long run. For example, putting all of your data into a data lake and asking a team of data scientists to solve your data management issues simply isn’t a viable approach. Many organizations can’t afford to hire and retain such resources. If they can, it’s likely that these data acquisition and data analysis experts will craft technically sound data silos that satisfy some, but not all the organization’s analytic needs.
Rather than struggling to solve these challenges on your own, possibly resulting in higher costs, longer implementation timeframes, and frustrated stakeholders, you should strongly consider engaging a partner to take data management off your plate for a predictable monthly cost and sound service level agreements. At CTG, we recently launched a DataOps solution offering that provides:
Lightning-Fast Results: Cut down the data acquisition process from months to weeks by deploying your enterprise analytics platform iteratively; move data within your pipeline in minutes and hours rather than weeks or months
Greater Accuracy: Leverage data stewardship services to proactively identify data quality issues before they appear on your executive dashboards and receive recommendations for remediation
Ongoing Monitoring: Ensure you’re making progress towards your data quality improvement goals
Lower Costs: Reduce expensive development and support costs by an average of 300% by using less resources to develop and maintain code
Increased Security: Encrypt and securely transmit data to dedicated database environments
Our key differentiator is a unique data acquisition platform that dramatically accelerates the development process with little to no coding required. Additionally, we provide data stewardship resources to establish a data quality baseline, help you remediate issues, and continually monitor progress towards your established goals.
In the coming weeks, we will be publishing additional blogs regarding this exciting new service offering with an emphasis on not only its discrete technical features, but the tremendous value it can bring to organizations.
Client Solution Architect
John Walton is a CTG Client Solution Architect and consulting professional with more than 35 years of IT experience spanning multiple disciplines and industries. He has more than 20 years of experience leading data warehousing, business intelligence, and data governance engagements. He has extensive experience working with a broad range of healthcare and life sciences organizations including IDNs, national healthcare payers, regional HMOs, a global pharmaceutical company, academic medical centers, community, and pediatric hospitals.