Striving to Become a Data-Driven Organization? Start With 5 Key D&A Initiatives

Better business decisions happen when business, data and analytics, and other IT leaders work together to bring their unique competencies to the art and science of effective decision making. Data-driven decision-making is critical to creating business value today but, in practice, it requires a mix of actions and capabilities — some technical, some not.

Gartner’s Essential Guides for Effective Decision Making are designed to help you create business value by reengineering how your business makes decisions. Each guide provides data-driven, actionable insights, focused on how you can prepare, establish and engage your key stakeholders while also sharing some critical tips for delivery from our experts.

Get started today: Download Gartner’s Essential Guides for Effective Data Driven Decision Making below.

Guide 1: Which decisions to reengineer and why

Gartner predicts that by 2023, more than one-third of large organizations will have analysts practicing the discipline of decision intelligence, which includes decision modeling.

The real value of reengineered decisions is being realized by data-driven organizations that leverage the power of data, analytics and artificial intelligence (AI) to drive competitive advantage. But where should you start? Understanding the decision-making process and aligning core decisions within this framework enables you to begin the conversation and build the business case for moving forward. This guide will help you re-define decision-making in your organization and ensure that you align stakeholders and build the capabilities to reengineer your decisions.

Reengineer your decisions

Guide 2: How to prioritize analytics and data

By 2025, chief data officers (CDOs) who establish value-stream-based collaboration will significantly outperform their peers in driving cross-functional collaboration and value creation.

Data and analytics (D&A) leaders are increasingly central to business strategy. You are expected to move past your traditional support function and produce business value for the entire enterprise. This new mandate can be a struggle if you lack support from business partners and techniques to identify opportunities for value creation. This guide will help you to create data and analytics strategies that build trust and accelerate decision-making within your organization.

Align your D&A strategy to business value

Guide 3: When to augment decisions with artificial intelligence

Gartner predicts that by 2025, 95% of decisions that currently use data will be at least partially automated.

Decisions that use data can be automated in a variety of ways but fall somewhere between being mostly human-based and entirely automated. In the age of artificial intelligence, organizations that embrace some degree of decision automation are likely to achieve competitive advantage through more rapid decision making, more sophisticated decisions and more granular decision making. This guide will help you to act intentionally to create an organizational competency in decision intelligence.

Improve the speed and accuracy of your decisions

Guide 4: What role data fabric will play in your data management

Gartner predicts that by 2024, data fabric deployments will quadruple efficiency in data utilization, while cutting human-driven data management tasks in half.

Modern data management systems must be able to connect/collect, integrate and deliver data to and from multiple sources and locations for a range of use cases. Data fabric architecture can both integrate data and recommend what to add and improve. This guide will help you to understand the benefits and use cases for this emerging innovation in your business and build an effective deployment plan.

Establish your data fabric strategy

Guide 5: Incorporating the right skills and capabilities in your D&A organization

Gartner predicts that by 2025, for organizations to remain competitive, analytical and soft skills will be the most sought-after skills in the data and analytics talent market.

As the demand for data and analytics skyrockets, finding and keeping D&A talent to support these initiatives is a challenge. You need a long-term D&A talent strategy: A systematic approach to attracting, sustaining and retaining employees. This guide will help you design a data-driven organization that can deploy the right skills and capabilities at the right time and in the right places to ensure better decision outcomes.

Get the right skills and capabilities