Establish an Analytics Operating Model
Accelerate data-driven decision making.
- Organizations are struggling to understand what's involved in the analytics developer lifecycle to generate reusable insights faster.
- Discover what it takes to become a citizen analytics developer. Identify the proper way to enable self-serve analytics.
- Self-serve business intelligence/analytics is misunderstood and confusing to the business, especially with regards to the roles and responsibilities of IT and the business.
- End users are dissatisfied due to a lack of access to the data and the absence of a single source of truth.
Our Advice
Critical Insight
Organizations that take data seriously should:
- Decouple processes in which data is separated from business processes and elevate the visibility of the organization's data assets.
- Leverage a secure platform where data can be easily exchanged for insights generation.
- Create density for analytics where resources are mobilized around analytics ideas to generate value.
Analytics is a journey, not a destination. This journey can eventually result in some level of sophisticated AI/machine learning in your organization. Every organization needs to mobilize its resources and enhance its analytics capabilities to quickly and incrementally add value to data products and services. However, most organizations fail to mobilize their resources in this way.
Impact and Result
- Firms become more agile when they realize efficiencies in their analytics operating models and can quickly implement reusable analytics.
- IT becomes more flexible and efficient in understanding the business' data needs and eliminates redundant processes.
- Trust in data-driven decision making goes up with collaboration, engagement, and transparency.
- There is a clear path to continuous improvement in analytics.
About Info-Tech
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We produce unbiased and highly relevant research to help CIOs and IT leaders make strategic, timely, and well-informed decisions. We partner closely with IT teams to provide everything they need, from actionable tools to analyst guidance, ensuring they deliver measurable results for their organizations.
What Is a Blueprint?
A blueprint is designed to be a roadmap, containing a methodology and the tools and templates you need to solve your IT problems.
Each blueprint can be accompanied by a Guided Implementation that provides you access to our world-class analysts to help you get through the project.
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Our analyst calls are focused on helping our members use the research we produce, and our experts will guide you to successful project completion.
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You can start as early as tomorrow morning. Our analysts will explain the process during your first call.
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Each call will focus on explaining the material and helping you to plan your project, interpret and analyze the results of each project step, and set the direction for your next project step.
Unlock Sample ResearchContributors
- Gail Ulan, Program Manager & Architect, Central Arizona Project
- Jordan Thomas, Solution Architect, Databricks
- Maik Schutze, Chief Analytics Officer, Kentucky Cabinet for Health and Family
- Toby Balsley, Lead Enterprise Architect, Tufts Health Plan
- Viannie Kaye, Data Governance Manager, Hamilton Health Sciences
Establish an Analytics Operating Model
Create and Manage Enterprise Data Models
Build a Robust and Comprehensive Data Strategy
Mandate Data Valuation Before It’s Mandated
Position and Agree on ROI to Maximize the Impact of Data and Analytics
Create a Data Management Roadmap
Establish Data Governance
What is a data architecture roadmap?
Build a Data Integration Strategy
Build a Data Pipeline for Reporting and Analytics
Build an Extensible Data Warehouse Foundation
Build Your Data Quality Program
Mitigate Machine Bias
Design Data-as-a-Service
Create an Architecture for AI
Get Started With Artificial Intelligence
Go the Extra Mile With Blockchain
Understand the Data and Analytics Landscape
Select Your Data Platform
Build Your Data Practice and Platform
Establish Data Governance – APAC Edition
Foster Data-Driven Culture With Data Literacy
Generative AI: Market Primer
Establish Effective Data Stewardship
Identify and Build the Data & Analytics Skills Your Organization Needs
Promote Data Literacy in Your Organization
Define a Data Practice Strategy to Power an Autonomous Enterprise