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SAP HANA ANALYTICS

Most customers prefer SAP HANA for following reasons:


To increase the performance of existing analytics and reports and to be able to view more information in Real-time.

To find the valuable information in the huge volume of data consisting of streaming networked device and customer emotion data- the true big-data endeavors from outside enterprise firewall. It is most critical to remember this as part of strategic planning, design optimization as the Internet of Everything is becoming essential for strategic assets protection.

Price elasticity of supply and demand in the oil and gas market.

The social media market has for long remained untapped by the oil and gas companies.

The oil companies could now enhance their customer relation management with the help of customer big data analytical tools.

So what is our global SAP HANA + Big Data Strategy to clients?


Trianabot Methodology ensures that no matter where development is undertaken it conforms to Global Methodology of architecture,design, definition and change management.

Trianabot Methodology ensures the enterprise goal of ‘One version of truth’ is achieved. . Without global analytics methodology each developer can create new KPI’s, change KPI’s and create data flows at will without any form of checks and balances.

Trianabot Methodology clearly defines the hand-off points from business to IT with clear start and end points for every delivery.

Trianabot Methodology clearly defines global, regional and individual metrics and KPI’s. Without a centralized methodology there can be no global ownership of metrics and KPI’s and thus no single version of truth.

Trianabot Methodology clearly defines periodic checks and balances optimization audits and guidelines. Without a centralized methodology databases can go out of control, DW instances can get filled with redundant and dead objects all making SLA’s impossible to maintain.

In SAP HANA, the concept of Advanced Analytics means SAP is allowing and enabling customers to do more advance processing and analytics within the platform itself, reducing your TCO and increasing your ROI

SAP HANA Spatial Analytics allows processing of geospatial (geographical, or sometimes referred to as location-based data) data while combining it with business data (such as customer profiles, retail sales results, etc.) to answer the “WHERE” and sometimes “WHEN” questions that are critical to respond to.

SAP HANA Spatial Analytics allows processing of geospatial (geographical, or sometimes referred to as location-based data) data while combining it with business data (such as customer profiles, retail sales results, etc.) to answer the “WHERE” and sometimes “WHEN” questions that are critical to respond to.

SAP HANA Smart Data Integration and Streaming allows customers to extract and integrate real-time data sources in to SAP HANA for further processing. As more and more customers look to embrace and add value in digital transformation, real-time access to data for IoT (Internet of Things), predictive maintenance, real-time customer offers, mobile marketing, and more have necessitated a need for enhanced data streaming and native integration to these sources of important data.

SAP HANA Graph is a newer (to be introduced for customer use in HANA SPS12) processing engine within the platform which quickly allows large data sets to be traversed with immediate discovery of meaningful patterns, relationships, and interconnections that can be explored in highly visual graphs that tell a story and intuitively locate hidden answers.

SAP HANA Series is a capability that allows customers to store and process small increment but large volume data needs with time-stamped information such as utility meter readings, manufacturing equipment sensors, and more.

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