SAP HANA INTEGRATION WITH MICROSTRATEGY

WHAT IS HANA? SAP HANA, short for "High-Performance Analytic Appliance" is

an in-memory, column-oriented, relational database management system developed and marketed by SAP AG.

Designed to process structured data from relational databases and capable of using three styles of data replication depending on the source of the data - log-based, ETL-based and trigger-based.

The in-memory computing engine allows HANA to process data stored in RAM as opposed to reading it from a disk.

It allows the processing of massive amounts of real-time data in a short time.

WHY SAP-HANA?

RDBMS IN MPP ARCHITECTURE

“Typical” Business Intelligence Today

IN-MEMORY COMPUTING

Disk is 1Mx slower than main memory. In-Memory computing cost has plummeted drastically. It uses a technique called sophisticated data compression to store

data in the random access memory. HANA's performance is 10,000 times faster when compared to standard disks, which allows companies to analyze data in a matter of seconds instead of long hours.

Has a ability to cache countless amounts of data constantly. This ensures extremely fast response times for searches.

It stores session data, allowing for the customization of live sessions and ensuring optimum website performance.

STORAGE Conventional databases store records in rows. Storing data in columns enables faster in-memory processing of

operations such as aggregates. Columnar layout supports sequential memory access. A simple aggregate can be performed in a single linear scan.

TOP REASONS FOR USING HANA

Access data faster using any column as index,and by accessing only relevant columns via dictionary-encoded column store.

It runs both transactions and analytical applications on a single model.

Process any data,in any combination instantaneously with SQL. Bring ur own code to an open platform. Predictive analysis across multiple datasources

(Example Unstructured Text,Geospatial,Hadoop) Reduce TCO by consolidating hetrogenous servers into Sap

HANA servers to reduce hardware,lifecycle management and maintainence.

AS A BUSINESS INTELLIGENCE

Pervasive reporting. Faster Deployment. Robust,manageable and scalable. Source-agnostic data access & integration services  allow

accessing and indexing external data from across the entire organisation and adding them to existing analytical models. 

Views of business information can be persisted in a Persistent Data Repository, and reconstituted in case of a crash.

Volume-Provide 3600x faster reporting speed. Value-460B Data records analysed in a second.

MICROSTRATEGY Integrating SAP-HANA with Microstrategy reporting capabilities

we developed Healthcare Management software. We made analytical views and calculation views in SAP-HANA

based on our requirements and exported to Microstrategy. Using data insight visualization capabilities we are able to display

visually appealing dashboards and insightful reports. We have developed 3 dashboards displaying various ways of

visualizing HealthCare Management data.

ECOSYSTEM

Key Performance Indicator displays the total number of issuers,employes,employers,brokers and enrollments.

It also displays aggregated calculation of employee income,premium/month and percentage.

Service area displays US-statewise information of total count using image layout widget.

Enrollment displays heatmap of total enrollment count corresponding to each US state.

Employee segmentation displays grid graph display of number of employes per segments.

TICKETING TRENDS

In the Ticketing dashboard,Overall Ticket Workload section displays information about total count of support persons,open tickets,average response days and backlog percentage.

Open Tickets section describes waterfall widget describing total open counts as per the issuer-type.

It contains heatmap corresponding to average closure time and ticket issuertype.

It contains gauge widgets of closure time in days corresponding to year,quarter,month and week.

It also displays microcharts displaying count of current-status based on issuertype.In microcharts we used sparkline and bar mode to anaylse in different ways.

EXCHANGE-INTERACTIVE DASHBOARD

It is an interactive dashboard. Key Performance Indicator displays information about total

service area and enrollment count corresponding to issuername.

By using issuername as selector it targets heat map of enrollment displaying information of total enrollments corresponding to each state.

By using issuername as selector it also targets the US map image layout widget displaying total service area count corresponding to each state.

STOCK ANALYSIS

Here we took the raw real-time stock data of NASDAQ and NYSE for analysing as per our requirement.

In the above screenshot there are 4 selectors namely Sector,Industries,Symbol and Year.

Industry is filtered by Sector selector and Symbol is filtered by Sector and Industry respectively.

All the 4 selectors will filter data to the below panel displaying stock volatility by year,quarter,month and week.

Panel describing grid and graph view limiting to 50 data at a time as shown in below screenshot.

CONCLUSION MicroStrategy abstracted the SAP HANA data schema, along with

other data warehouses and multi-dimensional sources, into one unified system of record, hiding the underlying complexity from end users.

It made the retrival time of data faster and boosted our agile business analytics for a Healthcare and Stock domain software.