The synergy between predictive analytics and decision optimization is critical to good decision making. Predictive analytics offers insights into likely future scenarios, and decision optimization prescribes best-action recommendations for how to respond to those scenarios given your business goals, business dynamics, and potential tradeoffs or consequences.
Together, predictive analytics and decision optimization provide organizations with the ability to turn insight into action—and action into positive outcomes.
In this white paper, you’ll gain a better understanding of:
The difference between predictive and prescriptive analytics
How predictive and prescriptive actions complement one another to help you achieve optimized business decisions
IBM’s approach to creating a powerful end-to-end decision management system
Hear a panel of HR leaders engage in a conversation about how they are using predictive and prescriptive analytics applied to talent to drive better business results. Join us to explore how you can be more effective in designing pilots, demonstrating the ROI for talent analytics, and translating talent data into talent insight.
Many organizations and agencies would like to improve their debt collection. They are aware that advanced analytics can help them optimize collections to drive down company debt and collection expenditures. However, they perceive that advanced analytics requires massive infrastructure changes, expensive software licenses, analytics expertise, long lead times and major upfront capital expenses.
In this paper – which is based on a webinar hosted by the Direct Marketing Association (DMA) and sponsored by SAS – we will take a look at how these technological advancements can enable you to become more predictive and prescriptive in your digital and integrated marketing efforts.
To survive and thrive in an era of accelerating digital
disruption, organizations require accessible data,
actionable insights, continuous innovation, and
disruptive business models. It’s no longer enough to
prioritize and implement analytics – leaders are being
challenged to stop doing analytics just for analytics’
sake and focus on defined business outcomes.
In addition, these leaders are being challenged to
bring predictive capabilities and even prescriptive
recommended actions into production at scale. As AI
and accelerated growth and transformation become
top of mind, many enterprises are realizing that their
current segmented analytics approach isn’t built to last,
and that real transformation will require proper endto-
end data management, data security, and a data
processing platform company-wide. The year 2019 will
be a turning point for many organizations that realize
being data-driven doesn’t guarantee future success.
As consumers, we’re all having more experiences that seem almost magical:
You’re in a mall when suddenly your smartphone beeps. It’s an offer for 20% off a pair of shoes you’ve been looking at online — from the store you just walked past!
As business people, we know it’s not magic, but rather analytics powering these outstanding customer experiences.
Analytics have evolved to the point where they answer an expanding range of useful questions. But understanding the different types of analytics – descriptive, diagnostic, predictive and prescriptive - and how to use them in your business can be challenging.
Download the eBook to learn about the least understood – yet most powerful – tool in the analytic arsenal.
Prescriptive analytics enable you to estimate and compare the likely outcomes of any number of actions, and choose the very best action to advance business objectives. Getting there isn’t as difficult as you think.
Start your journey. Download the eBook today.
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