The Analytics Pathway

Developing this advanced analytics capability is no longer an option, it has become an absolute necessity for business today. However, the sheer scale of available data is far beyond the volumes and variability most organisations have had to previously manage.

Consider things like POS data, real-time GPS, sensors, customer browsing/buying behaviour and social media data – all significant data sets that can deliver value back to your business if they can be properly harnessed.

For SAP-centric organisations, SAP S/4HANA presents a major change in the configuration and operation of your existing SAP platform and is not something to undertake lightly.

For those that have already started down this analytics pathway though, it becomes quickly apparent that there is more complexity and cost in harnessing large data sets with HANA than first expected. As a real-time analytics engine, its capabilities are outstanding, but as a big data repository, the answer isn’t so clear.

While it may be tempting to just continue down the SAP path that has been laid out for you in an attempt to get the results you need, a pause right now may be more valuable than you realise.

All organisations instead need to think a bit differently about how they architect and leverage existing technology investments for Big Data and Advanced Analytics such as predictive modelling, machine learning and IoT. We can show you how with The Analytics Pathway.

There are 5 stages in our defined Analytics Pathway, broken up into three different tiers, each offering increasing levels of business value. The Analytics Pathway allows your organisation to embark on the Big Data and Advanced Analytics journey in consumable, logical steps whilst still having a clear end state in mind.

Tier 1– Data Control

At this layer, businesses are typically looking to get “Big Data ready”.

STAGE 1A – Establishing a Data Lake to manage the “flood” of data.

STAGE 1B – Releasing the pressure on your BW/HANA environment by making use of this data lake

Tier 2 – Leverage Big Data

At this layer, you can start to use the platforms established in Tier 1 to deliver more business value.

STAGE 2 – Democratisation of your Big Data by establishing a Virtual Big Data Warehouse (VBDW) using both the Data Lake and SAP HANA to make these datasets more pervasively available in a cost-effective way

STAGE 3 – Deliver additional value by integrating IoT and streaming use cases into this new VBDW platform.  E.g. Live Dashboards, Systems Uptime, Network Security etc.

Tier 1– Data Control

At this layer, businesses are typically looking to get “Big Data ready”.

STAGE 1A – Establishing a Data Lake to manage the “flood” of data.

STAGE 1B – Releasing the pressure on your BW/HANA environment by making use of this data lake

 
 
 
 

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