3 Questions to Ask When Measuring the Value of Decision Intelligence
Understanding how decision making at scale with Decision Intelligence supports enterprise businesses.
As companies face challenges of scale, complexity, and an accelerated decision-making pace, they’re turning to Decision Intelligence as a solution that optimizes operations and drives efficiency and agility.
What is Decision Intelligence?
Imagine an enterprise where Decision Intelligence allows the entire organization to understand how its business works from end to end – across silos, people, and processes, both horizontally and vertically, without a “rip and replace” approach or radical changes to the technology stack.
Decision Intelligence intelligently automates transactional systems and processes, including campaign to lead, order to cash, procure to pay, incident to resolution, concept to market, and hire to retire. With Decision Intelligence, an enterprise that can continuously automate precision decisions at scale, allowing talented people to focus on the high-value strategic functions and decisions that matter most.
Why Are Companies Using Decision Intelligence?
Companies are turning to Decision Intelligence after realizing that current processes cannot keep up with their decision-making needs. Today’s businesses face challenges with agility and business continuity, as well as EBITDA pressures and a lack of an experienced labor force.
In particular, for CIOs and their organizations who are recognizing the strategic value of Decision Intelligence, risk mitigation and compliance are huge concerns – not to mention the need for precision decisions which are made particularly challenging when institutional knowledge is being lost as employees transition to different positions.
By using Decision Intelligence, companies can predict business outcomes with artificial intelligence and machine learning, and get real-time recommendations that can be flagged to the user for action or even automated.
How Do You Measure the Value of Decision Intelligence?
As companies begin to implement Decision Intelligence, there are three questions that can be asked at the macro level to help measure value:
- How has the optimization of operations affected cash, cost, and service?
- How have efficiency and agility affected the decision-making process?
- How have the waste and environmental impacts been minimized?
At a micro level, companies can more deeply analyze their answers to these questions through a lens of accuracy, frequency, granularity, automation, and coverage.
In times of peace and stability, Decision Intelligence helps companies build efficiencies, from data access to decision making. But with the world in an ongoing state of crisis caused by a global pandemic, severe weather events, supply disruptions, and war, companies need real-time visibility in their business operations. Businesses must have the agility to replan and analyze, then to ensure execution is working well.
Decision Intelligence makes businesses adaptable to crisis-specific actions, like panic buying and ordering, and gives them the ability to rethink distribution lines in time with changing situations.
Before Decision Intelligence, the ability to pivot rapidly would have been completely impossible, particularly at the pace needed to meet the market demand.
By resolving issues around data, science, decision making, and change, Decision Intelligence gives companies clear visibility and efficient operations and execution–all of which are important during times of relative predictability, but imperative during times of crisis.
