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

Better business decisions happen when business, data, 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 re-engineering how your business makes decisions. Each guide provides data-driven, actionable insights, focussed on how you can prepare, establish and engage your key stakeholders while also sharing some critical tips for delivery from our experts.

Start today: Download Gartner’s Essential Guides for Effective Decision Making below.

Guide 1: Which decisions to reengineer and why

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

The real value of re-engineered decisions is being realised by data-driven organisations 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 redefine decision-making in your organisation and ensure that you align stakeholders and build the capabilities to re-engineer your decisions.

Guide 2: How to prioritise 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 organisation.

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, organisations 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 organisational competency in decision intelligence.

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 use, 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.

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

Gartner predicts that by 2025, for organisations 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 organisation that can deploy the right skills and capabilities at the right time and in the right places to ensure better decision outcomes.