Putting RPA, IA, and Data To Work

Streamline activities and make them more effective with automation and data analytics!

Learn how RPA, intelligent automation, and data analytics can enable your business to scale operations seamlessly. You get easy-to-digest case studies and best practices that showcase how these technologies can enable you to give the ultimate customer and employee experience. Examples include how automation can scale with increased workloads, improve productivity for employees, and support business expansion. And this is all why having the data to understand where there are hidden opportunities in your business.

✔️ Streamline and Optimise Your Business Operations.

✔️ Scale Your Businesses Processes With Confidence.

✔️ Be Certain In Your Decisions With The Power Of Data Analytics.

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85 %

$ 18.3 bn

78 %

67 %

Companies mentioned in this whitepaper

I would say there are three opportunities for businesses to be gained from using these technologies: embedding the results-driven mindset, growing in-house digital capabilities and employee empowerment.

Eric NguyenSenior Manager, Synergy Group Australia

Organisations that implement these activities should be able to have more business agility and reduce the drag of legacy systems in digital transformation. It should also increase competitive advantage, productivity and effective output of manual labour.”

Arnaud LagardeVP Europe, Automation Anywhere

Teammates want to spend time engaging with each other and on activities that are value-add. We know that most employees aren’t fulfilled by pure data-entry roles, so the entire workforce stands to benefit from automation, which plays an important role in maintaining a productive and engaged team.

Megan AmdahlSenior Vice President of Partner Alliances and Operations, Insight Enterprises

RPA, IA and DA working together will reach a maturity that cloud computing has today, in that the vast majority of workers will either employ them or be directly affected by their existence.

Peter SteubeSenior Director, Content and Community, Gartner

Change management and excellent governance are essential to implement and run this technology to ensure it remains working and delivers a tangible return measurable on the P&L.

Kieran GilmurrayFounder and CEO, Digital Automation and Robotics

Legacy systems/processes can be brought into the digital arena through Intelligent Automation. A virtuous cycle where broad-application of IA leads to Digital-enablement which facilitates Data-management. The data can be fed back into the Automated process for action– we call this “Predictive-Automation” and it is truly transformational.

George PurvisAcademy Lead, Virtual Operations

In the next three years the drive for companies to be faster, quicker, better will accelerate. The driver for this will be competition from the market. Achieving competitive advantage will come down to how quickly you can move tasks and processes to machines and free up capability in your workplace to drive new products or services to improve your operational efficiency.

Janine GillClient Director, Cortex Intelligent Automation

The three common data quality issues that business leaders overlook when digitally transforming a company are: siloed data, identifying useful data to create business insights, and unstructured data management.

Pascal BornetBest Selling Author

Change and expectation management are the biggest challenges to implementing these technologies. You need to help users understand how it will impact their day-to-day and why the change is happening so that they adjust and support the changes. You cannot scale automation if the business and organisation as a whole don’t see the value.

Ema RoloffSenior Sales Executive, Naviant

I think Centres of Excellence are needed to ensure digital transformation initiatives are delivered consistently and well. Mature CoEs have internal and external value-based quotas. e.g., certified headcount, processes automated, digital capabilities, and savings.

Amahl WilliamsDirector, SYKES Digital Services

Intelligent Automation and Data Analytics play a critical part in the Fourth Industrial Revolution, deeply transforming how we work, educate and evolve as a society.

Irene LyakovetskyTechnology Talk Host, SaugaTalks

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