Leverage Modernizing your SAP Data Analytics on AWS

How does this work?

Intelligent ERP platform on AWS provides centralized, integrated data from multiple SAP, Non SAP systems in a single repository for unified enterprise data analytics, better data governance, data security, discovering new value from data, Enterprise 360, advanced innovation, business intelligence capabilities.

The business team can unlock new business insights and relationships across business units as the Intelligent ERP platform on AWS integrates data from multiple business systems. Apply ML&AI capabilities to accelerate the business by forecasting performances using various factors.

Customers can leverage their existing data to unlock business value, improve query performance, automate the scalability with optimized cost by migrating from SAP HANA & SAP BW to S3 and Amazon Redshift.

Searce offers automated pipelines to accelerate the migration of SAP data to AWS data lake that can handle unstructured, semi-structured and structured data from various sources.

Once your data is migrated, Searce helps to build your data analytics infrastructure by creating data models, and setting up analytics tools such as Amazon Redshift, Amazon Athena.
With your data analytics infrastructure in place, Searce helps to optimize your data analytics. Further create dashboards and reports, and visualize your data.

Data Ingestion & Pre Processing

Searce leverage AWS Services like AWS DMS, AWS Data sync, Amazon Appflow, and during data ingestion, data sources are identified, validated, and imported while data files are stored in S3.

Data Sources can be ERP, SAP HANA etc.

Cleansing and Transformation building

We leverage AWS Glue, AWS EMR to develop the ETL function and transform the data to a format that is optimized for code. Other data cleansing processes include merging of data sources, aligning formats, converting strings to numerical data, or summarizing data to make sure the performance and data format is optimized for the further process.

Advanced Data Analytics and Management

With use of Amazon Athena, Amazon Redshift Data analytics Searce helps to extract the real value, Further to use analytics and visualization tools like Amazon Quicksight to predict customer needs, improve operations, transform broken processes which helps in business decisions.

Assess & Priortize

Engage with the Clients and brainstorm their Vision, Strategy and problem statements

Identify the possible Use cases for the current Business Requirements

Define the Proof of Value

Industrialize

Access the clients latest Data Landscape

Searce's SME's will curate the use cases defined by Business Stakeholders

Short use cases according to importance to the business vs simplicity of implementation

Organize & Steward

Searce will fill the capability gaps and assemble all comments into essential topics and clear initiatives

Build a Roadmap for the Client's SAP Data Analytics Strategy that has been identified in earlier phases

Searce will collaborate with the Client in establishing the Roadmap across the Organisation

Experiment & Conceptualize

Searce will build a Minimum Viable Product for the prioritized Use cases to demonstrate the technical feasibility of the proposed use cases

Searce will hold responsible for identifying the capabilities and Gap's in the Client Landscape.

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Industrialize

Access the clients latest Data Landscape

Searce's SME's will curate the use cases defined by Business Stakeholders

Sort use cases according to importance to the business vs simplicity of implementation

Enagage & Ideate

Searce will industrialise the Modernisation strategy across various line of Business

Searce will engage with the Client's Stakeholders across Geographies and implement the Modernisation strategy throughout.