What Is an Enterprise Data Strategy?


Often confused with data management, enterprise data strategy has emerged as a critical link between your business strategy and specific actions that your organization takes to execute that strategy.

Enterprise data strategy is a game plan to collect, analyze, and draw objective insights from a company’s universe of data. These insights help execute and monitor results through leading KPIs and iterative improvements of a company’s or function’s business strategy.

What is an Enterprise Data Strategy

Build a Holistic Enterprise Data Strategy


Your business ecosystem is generating data every second of every day, inside and outside the walls of your company. Assessing the role played by external data and the actors behind it is as critical as gaining insights from transactional data. A holistic enterprise data strategy consists of multi-dimensional capabilities to deliver the desired impact from all data generated in your ecosystem.

 

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Why Is an Enterprise Data Strategy Important?


In an environment of fast-paced, non-linear change, you cannot afford lag time nor rely on assumptions-based recommendations that could be inherently outdated.

Our data shows that less than 7% of companies succeed in their digital transformations and produce expected results. One key differentiator is whether or not they utilized data for corporate strategy, transformation strategy, and business and IT operations monitoring and improvement.

Digital Champions Use Data to Drive
Strategy and Operations

Digital Champions use Data to drive Strategy and Operations

Source: Trasers

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An IP Approach to Enterprise Data Strategies


Trianz brings a rapid-fire approach to designing your data strategy, based on numerous engagements delivered successfully across many industries. Our toolkit has frameworks, designs, and technology alternatives for each of the following areas.

Competitive Benchmarking

Competitive Benchmarking

Comparing analytics capabilities against peers and best-in-class.

Data Stewardship

Data Stewardship

Organizational model, roles and responsibilities, and collaborative interfacing across the enterprise.

Data Ecosystem Mapping

Data Ecosystem Mapping

Industry-specific, business-function-level mapping of data residing inside and outside the company.

Data Quality Management

Data Quality Management

Processes and technology alternatives for DQM.

Data Life Cycle Management

Data Life Cycle Management

Master Data Management (MDM) and data governance process frameworks and rules for the full life cycle.

Leading and Lagging KPI Frameworks

Leading & Lagging KPI Frameworks

Pre-configured KPIs that will be tailored based on your business strategy and performance metrics.

Experience the Trianz Difference

Collaborating with business and technology leaders, we help formulate and execute operational strategies to achieve intended business outcomes by bringing the best of consulting, technology experiences and execution models. Powered by knowledge, research, and perspectives, we enable clients to transform their business ecosystems and achieve superior performance by leveraging Infrastructure, Cloud, Analytics, Digital and Security paradigms.

With offices in Silicon Valley, Washington DC Metro, Jersey City, Sydney, Singapore, Kent, Dubai, Bangalore, Hyderabad, Chennai, we serve Fortune 1000 and emerging organizations across industries globally. As a professional services firm, our values and culture are focused on delivering measurable business impact, predictability in execution, and a unique partnership experience.

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Dennis DeGregor

Vice President
Analytics Practice

Mohan Kuradi

Director
Analytics Practice

Satya Madakshira

Director
Analytics Practice

Bill Faley

Director of Analytics
Analytics Practice

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