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.
Member Testimonials
After each Info-Tech experience, we ask our members to quantify the real-time savings, monetary impact, and project improvements our research helped them achieve. See our top member experiences for this blueprint and what our clients have to say.
9.0/10
Overall Impact
$8,449
Average $ Saved
6
Average Days Saved
Client
Experience
Impact
$ Saved
Days Saved
Water NSW
Workshop
8/10
$4,299
6
Best - Great conversation was facilitated by Infotech Worst - Potentially some face to face time would have improved outcomes from workshops like... Read More
Urban Institute
Guided Implementation
10/10
$12,599
5
Workshop: Establish an Analytics Operating Model
Workshops offer an easy way to accelerate your project. If you are unable to do the project yourself, and a Guided Implementation isn't enough, we offer low-cost delivery of our project workshops. We take you through every phase of your project and ensure that you have a roadmap in place to complete your project successfully.
Module 1: Define Your Analytics Needs
The Purpose
Achieve a clear understanding and case for data analytics.
Key Benefits Achieved
- A successful analytics operating model starts with a good understanding of your analytical needs.
Activities
Outputs
Review the business context.
Understand your analytics needs.
Draft analytics ideas and use cases.
Capture minimum viable analytics.
- Documentation of analytics products and services
Module 2: Perform an Analytics Capability Assessment
The Purpose
Achieve a clear understanding of your organization's analytics capability and mapping across organizational functions.
Key Benefits Achieved
- Understand your organization's data landscape and current analytics environment to gain a deeper understanding of your future analytics needs.
Activities
Outputs
Capture your analytics capabilities.
Map capabilities to a hub-and-spoke model.
Document operating model results.
- Capability assessment results
Module 3: Establish an Analytics Operating Model
The Purpose
Capture the right analytics operating model for your organization.
Key Benefits Achieved
- Explore data operating model frameworks.
- Capture the right analytics operating model for your organization using a step-by-step guide.
Activities
Outputs
Discuss your operating model results.
Review your organizational structure’s pros and cons.
Map resources to target structure.
Brainstorm initiatives to develop your analytics capabilities.
- Target operating model
Module 4: Implement Your Analytics Operating Model
The Purpose
Formalize your analytics organizational structure and prepare to implement your chosen analytics operating model.
Key Benefits Achieved
- Implement your chosen analytics operating model.
- Establish an engagement model and communications plan.
Activities
Outputs
Document your target organizational structure and RACI.
- Reporting and analytics responsibility matrix (RACI)
Establish an analytics engagement model.
- Analytics engagement model
Develop an analytics communications plan.
- Analytics communications plan
- Analytics organizational chart
About Info-Tech
Info-Tech Research Group is the world’s fastest-growing information technology research and advisory company, proudly serving over 30,000 IT professionals.
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.
Talk to an Analyst
Our analyst calls are focused on helping our members use the research we produce, and our experts will guide you to successful project completion.
Book an Analyst Call on This Topic
You can start as early as tomorrow morning. Our analysts will explain the process during your first call.
Get Advice From a Subject Matter Expert
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
Build 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
Build a Reporting and Analytics Strategy
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