The problem is that organizations will starve–and are starving–on a diet comprised solely of strategy and potential. They need real action and tangible results.

 

Many organizations analyzing data are stuck. It’s not their fault. They are collecting data. They are looking at the data. They are asking thoughtful questions. They are finding interesting insight. They are creating reports.

Maybe they’re using the latest visualization tools. Maybe they have analysts and scientists churning out models. Maybe they’re investing in big data science projects, exploring AI, machine learning, or neural networks.

But if you ask company leadership, frontline employees, even the data workers how they feel about the impact of analytics, you’ll hear the same thing a lot: they’re disappointed.

Leaders want bigger ROI and an enterprise that’s prepared for what is certain to be a challenging future where winners are determined by their early grasp of emerging tech and data-driven decision-making.

Frontline employees in every department want to be more successful at meeting goals and moving the business forward, more easily.

Data workers want to crack hard problems and change the way business is done.

The missing piece

So what’s missing? A way to move from the latest data to actions immediately and continuously, to make measurable, daily improvement against critical goals and metrics.

For many companies, their analytics and data science projects are producing insight, intelligence, and understanding. These are somewhat vague and interchangeable terms that mean essentially the same thing – you learn some things that you might use to improve the business at some future time.

Insight, intelligence, understanding…they hold strategic value and have the potential to make a big impact. They are important.

The problem is that organizations will starve–and are starving–on a diet comprised solely of strategy and potential. They need real action and tangible results.

Organizations–and the executives, frontline employees, and data workers within–need to see data make a real, big difference, for them and for their colleagues. And most organizations don’t feel they’re quite there yet.

What prescriptive analytics can do

That’s why prescriptive analytics is so important. It’s not just the latest buzzword. It’s exactly what the doctor ordered. It’s technology that has the power to move brands past insight to actual action that makes a difference

Prescriptive analytics goes farther than simply analyzing what has happened in the past (descriptive analytics), and goes farther than determining what will happen in the future (predictive analytics).

It tells you what to do now to create a better future – a future where the KPIs, outcomes, and metrics you care about look like you want them to.

It tells you what customers to contact to prevent churn and what to offer, what deliveries need attention to be on-time and what to fix, what products to recommend to maximize revenue.

With prescriptive analytics, you can feed your organization with a steady supply of daily improvement to every outcome–attrition, fraud, cost to serve, and beyond–in every department.

And daily improvement to every outcome makes a real, BIG difference.

 

Emily Gay

Marketing Director

Emily helps companies understand how new data technologies can solve their biggest challenges. In-house and agency-side, she's spent nearly a decade helping brands use data to make smarter decisions and optimize KPIs.

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