Data and Analytics Research Center
Negotiate the data and analytics disciplines to unlock the true value of your data.Talk to an Analyst
10 Steps to Understanding the Data and Analytics Landscape
The key to landscaping your data environment lies in ensuring foundational disciplines are optimized in a way that recognizes the interdependency among the various disciplines.
Have you got a data-enabled or data-driven culture? Treat data as the corporate asset that it is.
IT & Business
Are your data management capabilities ready? Build the right platform to deliver data from source to analytics.
How do you currently treat your data? Do you have enterprise oversight? Establish and sustain an enabling framework that drives use of and appetite for data.
Data Quality Management
Fuel trusted insight generation and evidence-based decision making.
Enterprise Content Management (ECM) Strategy
Can you trace your data lineage and do you have a pipeline that facilitates a single customer view? Optimize searchability and findability of information assets.
ECM Lifecycle Management
Manage your organization’s content and documents across their lifecycle.
Is your integration near real time and scalable? Do you have a data quality health-check capability to remediate data issues?
IT & Business
Master Data Management
Can you trace your data lineage and do you have a pipeline that facilitates a single customer view? Manage your master data; build out that single stakeholder view.
Does your architecture plumbing reflect the ability to serve data to the business in a sustainable way? Build the right platform to deliver data from source to analytics.
Reporting, Analytics & AI
Do you have a strategy to enable self-serve analytics? Have you implemented best-practice AI models with unbiased data?
Associate Vice President – Enterprise Architecture, Data & Analytics
Research Director, Data & Analytics