Why SAP Analytics as-a-service?
Data Analytics for SAP is incredibly hard and expensive
The SAP analytics landscape is challenging
From BO, Lumira, Design Studio, BW/4HANA, HANA Cloud, SAP Analytics Cloud, SAC, Data Intelligence, on-prem to cloud transition, unclear AI/ML tooling - the journey has been challenging for SAP customers globally. Even today, customers have little to show in terms of value to business.
The Data Landscape is changing far too rapidly
'Data Stack' in confusing enough and the 'Modern Data Stack' is muddling waters even more. With operational AI/ML now accessible, advanced use-cases are better managed with the (always) latest predictive tools, and SAP is only playing catch-up.
Business environments are changing faster than IT responds to
Geo-political, environmental, regulatory, currency, supply chains, wars, pandemics, and other issues are here to stay. For example, a currency might depreciate by 50% in a day. Do you think embarking on lengthy data analytics projects frequently really practical? In most organizations data analytics has become an end in itself, incapable of supporting operational data driven decision making.
POCs are mega-projects in themselves, even if a vendor offers one
Creating a proof-of-concept initiative to test the applicability of more advanced governance styles in your environment, evaluate the business outcomes and value, emerging risks, technological limitations, and cultural barriers to wider adoption is often impossible with the current approach. Even if a vendor is brave enough to offer a POC, time frames and costs are truly impractical.
Organizations are stuck at the data Extraction, Transformation and Loading (ETL) stage
Most existing data integration tools are limited in their ability to collect and analyze all forms of metadata to provide actionable insights to support automation. As a result, data teams often never move to the value generation phase, stuck in an endless battle with just getting data meaningfully together. Sounds familiar?
You need a department staffed with PHDs to navigate licenses, cloud and technology choices
Data Analytics is witnessing an unprecedented rate of change, and with it, a massive amount of hype. At the same time, competent talent with operational skills are in such short supply, that staffing itself is impossible. And this problem is not going away soon.
Engagement Road Map
Three steps to the best SAP Analytics experience available today!
A no-cost engagement to understand your data landscape, identify challenges and use cases. We understand the target tooling, landscape, compliance and data security requirements. Typically takes two weeks.
Here we demonstrate the complete solution with the recommended architecture, approach and tooling for one use case, with actual data. This is a one-time, charged, engagement. Typically takes 12 weeks.
After we define and sign-off on the contact, we then move to continuous delivery, enhancements, devops and maintenance of the landscape with pre defined SLAs. Annual contract, payable quarterly.
Let's make SAP data analytics a breeze!