Data and Analytics Landscape Research Center

Negotiate the data and analytics disciplines to unlock the true value of your data.

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Nine 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.

Data & Analytics blueprint image Data & Analytics blueprint image

Practice & Platform

  • Big Data Platform Strategy
  • Data as a Service
  • Data Operations
  • Data Pipeline
  • Data Warehourse
  • Platform-Based Organization
2

Business

Data Governance

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.

3

Business & Data

Data Management

Are your data management capabilities ready?

4

DATA

Data Architecture

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.

5

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.

6

Data

Data Integration

Is your integration near real time and scalable? Do you have a data quality health-check capability to remediate data issues?

7

Business

Data Quality Management

Fuel trusted insight generation and evidence-based decision making.

9

Business

Advanced Analytics, Machine Learning & AI

Have you implemented best-practice AI models with unbiased data?

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