Whitepapers & Analyst Reports

Research, field insights, and practical guidance for enterprise data leaders

Explore gated whitepapers across data modernization, governance, AI readiness, cloud data platforms, and operating models. Each report opens to a dedicated landing page with abstract, author context, key learnings, and a secure download form.

Showing 3 published whitepapers

HEALTHCARE PAYERS · WHITE PAPER

Payer Data Ops: The CIO and CDO Blueprint for CMS-0057-F Readiness by January 1, 2027

Payer Data Ops: The CIO and CDO Blueprint for CMS-0057-F Readiness by January 1, 2027

On January 1, 2027 the four CMS-0057-F FHIR APIs have to be live. Most plans have already bought the platform; what still separates them from compliance is data work — members that will not match, codes with no FHIR translation, records a day behind the source. This paper gives CIOs and CDOs the consolidated compliance calendar, the reference data architecture that belongs between core systems and the mandated APIs, and a 100-day execution blueprint with an exit criterion per phase and a 12-question readiness scorecard.

Read more
RESEARCH REPORT

AI and Data Modernization: Enterprise Readiness and Value Realization

AI and Data Modernization: Enterprise Readiness and Value Realization

ANALYST CONNECTION Sponsored by: Qlik and Artha Solutions AI and Data Modernization: Enterprise Readiness and Value Realization December 2025 Questions posed by: Qlik and Artha Solutions Answers by: Stewart Bond, Research Vice President, Data Intelligence and Integration Software How are...

Read more
RESEARCH REPORT

Future-Ready Data Foundation: From AI Pilot to Production Value

None

Future-Ready Data Foundation: From AI Pilot to Production Value

Success with AI starts with data. Improving data quality and accessibility for AI is today’s top organizational priority; nine months ago, it was improving AI infrastructure. However, laying a solid data foundation for AI requires data and metadata unification, quality management, and control – treating data as a product.

Read more