Analytic Process Automation

Real-World APA Use Cases

 

 

ANALYTIC PROCESS AUTOMATION USE CASES

FOR EVERY BUSINESS AREA AND VERTICAL SOLUTION

Instead of asking what problems Analytic Process Automation solves, it might be better to ask what doesn’t it solve? APA isn’t limited to a line of business or industry. The combination of data, analytics and data science, business process, and the empowerment of people ultimately drives successful transformation and business outcomes across horizontals and verticals.

These use cases enable quick wins that prove the value of APA and help you gain buy-in from executives and line of business leaders and practitioners across the organization. And as you scale, an Analytic Process Automation platform provides three critical enterprise priorities:
 

1. Stable and agile governance

2. Efficient and economic scaling

3. Robust security and sharing


These features should please teams and individuals charged with governance and security, especially since it makes it easier for them and all stakeholders to buy in, not only during the initial adoption, but also as data needs expand and more people are added to the data analytics process.

 

FROM A SINGLE USE CASE TO A CULTURE OF ANALYTICS

The convergence of data, analytics and data science, and business process into one unified platform enables Analytic Process Automation. But the heart of digital transformation is creating a culture of analytics that harnesses data, processes, and people to make your organization more agile and amplify human output in order to solve bigger and more complex problems.

 

If technology is getting easier to use, why are companies not seeing the return on investment they were expecting? Companies need to build a culture around analytics and shift focus to address people and process to be well on their way to having an effective and profitable analytics investment.

— NICK HAYLUND, Director, Tessellation EMEA

 

Alteryx has not only saved us time, but has also allowed us to recruit for new positions for people that don’t have those specific skills in coding or data mining techniques,

— GEMMA HULBERT, Chief Data Officer, Gymshark

 

Building a culture of analytics is the final stage in the analytics journey of embarking on self-service analytics, unleashing advanced analytics, scaling analytics across the organization, and building a culture of analytics that drives true digital transformation.

 

 

48%

Of the companies with the highest level of analytical maturity, nearly half (48%) significantly exceeded business goals in the last 12 months.
─ “Analytics and Data-driven Culture Help Companies Outperform Business Goals in the ‘Age of With’

 

 

 

A culture of analytics is both internal and external. Sharing internal knowledge is part of the upskilling of the workforce, but no company has all the answers. Sometimes you need to look beyond your own walls to the power of an external community that offers answers and inspiration.

 

With an internal culture of analytics
  • Insights are available to anyone in your organization
  • Anyone can use code-free data science and machine learning to move from “what happened?” to “what’s next”?
  • Automated analytics processes are scaled across departments
  • Every team member up to the C-suite can harness insights to drive actionable outcomes

 

Stratasys has incredibly smart and talented people, and [now] cross-departmental team members can move beyond old processes and think more creatively about how to bring additional value. It changes from a reactive mindset to a proactive mindset.

— JASON CHENUG, Customer Advocacy Business Analytics Team Member

With an external culture of analytics
  • Individuals can look outward across other companies to create outcomes and drive change
  • A robust community of peers can share business outcomes and best practices
  • A network effect brings together thousands of upskilled, engaged people sharing ideas, and drives faster learning

 

A data science and analytics community offers the opportunity to learn while helping others find solutions to their problems. And then it becomes a flywheel: the stronger the community, the stronger the shared investment of analytics users and the technology.

— SEAN ADAMS, Alteryx ACE

 

 

YOUR DIGITAL TRANSFORMATION STARTS HERE

No one questions the importance of data for driving business decisions, but moving from mission to practice to outcomes is where companies have stumbled. Those that have adopted Analytic Process Automation in their organizations have seen how it can digitally transform their company and lead to the convergence of data, processes, and people.

If your tools don’t converge data, process, and people to drive efficiency gains, top-line growth, bottom line return, and the fast upskilling of your workforce, then you won’t experience transformative business outcomes. 

That’s where Analytic Process Automation helps you bridge the gap between the data you have now sitting in lakes and silos and a future where it’s democratized for everyone to use, optimized and automated through workflows, and delivered in a platform that amplifies the output of your human workforce. 
 

 

 

 

Recommended For You

Livestream

Accelerating Digital Transformation with APA

See How Coca-Cola, PwC, and IDC Help Accelerate Digital Transformation with APA.

Watch Now

CUSTOMER STORY

Brookson Delivers Automated, Personalized Tax Advice with Analytic Process Automation (APA)

Brookson identified four must-have criteria for a technology solution that would help them deliver innovative services to customers.

View Customer Story

Essential Guide

The Essential Guide to Analytic Process Automation

See how the convergence of analytics, data science, and process automation is driving digital transformation success.

Download Guide

 

 

SEE WHAT ANALYTIC PROCESS AUTOMATION
CAN DO FOR YOU

 

4 Ways to Get Started