SAP Consulting
Changing the way that we position SAP Analytics Cloud
Augmented Analytics with SAP Analytics Cloud The Future of Decision Making
Gartner has been quite vocal about their next move: Analytics providers who can deliver augmented analytics will lead in the future analytics space To reclaim our spot in the MQ as a leader, we need to leverage our strengths in AI and expand the conversation beyond just visualizations, charts, and data connectivity
We are in a very unique position to offer customers easy to consume ML capabilities embedded deeply within SAC, alongside and integrated with BI and Planning. This is the new messaging focusing on augmenting BI and Planning workflows with ML, and begin to enable business analyst types to become citizen data scientists with easy to use, Smart Predict capabilities.
To keep up with expectations, we need to…
In the Intelligence Era, we will embrace machine learning and predictive technologies to achieve
more than ever before.
To thrive and meet ever growing customer expectations,
Do more with less and empower employees
Through process automation and freeing up people to do more meaningful work
Deliver best-in-class customer experience
By anticipating and proactively responding to end-customer needs
Invent new business models and revenue streams
By monetizing data-driven capabilities and applying core competencies in new ways
Challenges Today
What are some of the challenges that organizations are facing today with Analytics? (Note these are different and bold)
Human Bias
Regardless of what data discovery tool you use, whether that is Excel, SAP BI, Microsoft BI, Tableau, it is all subject to human bias. Humans are particularly bad at processing raw data, and that becomes even more of an issue when data becomes complex and large.
Delayed Insights
Another weakness to human interaction with data is that humans do not possess the capability to uncover key trends and patterns quickly with large and complex datasets. Agile data discovery is very beneficial in a human’s process of data discovery, but does not support agility in the overall data discovery process.
Unclear Next Steps
Even if we are able to discover insight, we are not able to draw information from it that allows us to act confidently. The next best steps to take action are often still determined by human intuition or gut feeling.
Fragmented
What is also important to note is that organizations executing planning on their own also fail to drive results. And by planning, we are not only speaking about financial planning analysis, but also goal setting and targets across different departments, including sales, marketing, HR, and procurement.
Ignored
Typically a department doing planning alone will be executing their plan via spreadsheets in Excel. Perhaps if they are financial users, they may have an FP&A system such as BPC, Anaplan, etc. But for those users outside of the financial space, Excel is typically the go to.
Reactive
When they are finalized, they are typically never referenced again and are ignored. Because there is no current information being pushed into the plan, and because the plan is only updated annually, plans will often sit in a file folder and only be opened again when there is a rear-view review at the end of a period, perhaps every quarter or year.
SAP Analytics Cloud
Work Smarter with Augmented Analytics
- In the Intelligence Era, organizations need to have seamless integration between all applications and technology to be able to act quickly
- SAP Analytics Cloud brings together BI and Planning and enhances those existing capabilities with Machine Learning and AI, allowing you to work smarter
- Now, we have a cohesive platform that brings you faster time to value and gives you the confidence to take the next best action with your customers
- We augmented analytics to help you act confidently
