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Data Management Services

 
 
 

With more and more data generated by businesses, organizations must have a strong data management strategy to leverage this data to gain a competitive advantage. Applexus Data Management services go beyond the standard data management solutionswith a comprehensive set of offerings throughout the data lifecycle that can be delivered in a plug-and-play model with pre-built solutions.

Data Management Offerings

 

Data Management Strategy

Customized Assessment and Strategy workshops to help plan, design and deploy an Enterprise Data Management

Datasphere

Business Driven

Understanding the need and requirement of the data for the business processes and thus determining the data tiering strategy

Datasphere

Stakeholder Engagement

Engaging with the stakeholders to understand legacy system owners, identification of records retention criteria, processes around permanent data destruction & suitable retrieval methods

Datasphere

Compliance

Addressing different compliance requirements of the business processes and their retrieval mechanisms, setting up data retention environment

Datasphere

Training

Training process owners and managers on the availability of the data for their legal, auditing, reporting or planning needs

BW Modernization
Benefits
  • Insights into impact of data on Business Processes
  • Rapidly deployable Data Quality model for business scenarios
  • Repeatable methodology for implementing Data Quality
  • Insights into impact on Data Migration Transformation
  • Deployable Data Quality model to identify gaps and accelerate solutions
  • High-level plan to cleanse data and mitigate risks for data management projects

Data Migration

Pre-built solution to facilitate rapid data migration with reduced risk at a lower cost

Datasphere

Change Management

Enabling change management through documenting data migration roles & responsibilities and training data managers, IT & Business SMEs

Datasphere

Pre-Built Solution

Applexus unique methodology reduces risk & implementation time through pre-built solution including data profiling, scoping and relevancy rules, data transformation rules, data quality reports etc

Datasphere

Data Quality

Prior to migration, legacy data is profiled to ensure data consistency and relevancy by leveraging the pre-built data quality reports for critical fields

Datasphere

Technology Management

Importing data migration solution with authorization profile created and tested, ensuring migration, quality tools & data connection readiness

BW Modernization
Benefits
  • Automated, pre-built solution for common data objects
  • Loading the data for testing immediately
  • Reduced risk of failed projects or delayed implementation due to data quality issues
  • Ensuring highest data quality standards and transparency
  • Low cost and off-shore data factory model

Data Cleansing/Quality

Pre-built tools and methodology to profile master and transactional data and identify anomalies that can cause business interruption

Data Profiling

Data Profiling

Preliminary step of data modelling – discovering business knowledge embedded in data, improving data accuracy in databases and shorten the implementation cycle of major projects

Data Quality Reporting

Data Quality Reporting

Capturing data completion, correction and defect metrics by iterating data quality reports and refreshing legacy data regularly. This helps in prioritizing data cleansing steps aligned with business needs

Deduplication

Deduplication

Preparing deduplication reports by identifying leading master data or parent and mapping non-leading master data with parent to assign open and relevant transactions, creating a new master data in target system

Harmonization

Harmonization

Bringing together data of varying formats into one cohesive data set. This minimises redundant data, remove conflicting standards and ensures retention of critical requirements providing a common standardised “Golden Record”

BW Modernization
Benefits
  • Pre-built solutions and template for data cleansing and synchronization with SAP Master Data
  • Automated transactional data health check
  • Unearth business impacts with open business transactions
  • Comprehensive training for Data managers, IT and business SMEs on data mapping, cleansing and validation

Data Governance

Advisement, tools and enablement for customers to establish robust business processes to maintain the quality and data governance model of their master data

Evaluate Current State

Evaluate Current State

Identify existing data processes, develop process and organisational impact assessment and define current governance attributes and standards

Processes & Controls

Processes & Controls

Assigning authority and control over data assets to the right people in the organisation while putting in a process to ensure business readiness of data adhering to standards and business rules

Data Profiling

Data Ownership

Formalizing the roles of data owners and mapping accountability and responsibility for managing data from creation to consumption

Define Future State

Define Future State

Strategy & Roadmap addressing the future state of data governance by designing processes, policies, business rules and data ownership

BW Modernization
Benefits
  • Pre-built solutions for Data Governance
  • Ensure data consistency and data integrity across major master data objects
  • Robust business process support
  • Support for tools such as SAP MDG

Data Tiering

Robust data archiving of non-SAP source systems or archiving the existing SAP system

Business Driven

Business Driven

Understanding the need and requirement of the data for the business processes and thus determining the data tiering strategy

Stakeholder Engagement

Stakeholder Engagement

Engaging with the stakeholders to understand legacy system owners, identification of records retention criteria, processes around permanent data destruction & suitable retrieval methods

Compliance

Compliance

Addressing different compliance requirements of the business processes and their retrieval mechanisms, setting up data retention environment

Training

Training

Training process owners and managers on the availability of the data for their legal, auditing , reporting or planning needs

BW Modernization
Benefits
  • Reduced risk of audit failures, compliance issues and legal issues
  • Data cubes and reports for planning purpose based on historical trends
  • Offsite backup mechanism established
  • Low cost model

Our differentiated approach for Data Management

Applexus Data Management Delivery Services are embedded from project prep through go-live support in a Data first approach.

During Prep and Explore

During Prep and Explore

  • Review the most commonly used data objects
  • Identify client specific objects and come up with data structures
  • Profile the legacy data and find anomalies and build score cards
  • Advise the client on post-production data governance solution
During Realize (Build)

During Realize (Build)

  • Complete data mapping workshops
  • Adjust the pre-built solution with any custom client specific coding
  • Work with the business using pre-built error reports to have them cleanse the data
During Realize (Testing)

During Realize (Testing)

  • Use the pre-built load programs and run multiple mock cycles
  • Identify any issues identified by client specific requirements and tweak the transformation rules based on error reports
  • Tweak the load programs for performance
During Deploy

During Deploy

  • Load the error free and transactable data into production
  • Provide post go-live support

Talk to our Experts

 

Ratan Verma
Ratan Verma Practice principal- Data Management & Data and Analytics
Arun Bhaskaran Nair
Arun Bhaskaran Nair Associate Director - Data Migration
Quote

“We aim to provide the highest quality Data Management experience for our Customers' SAP Programs through Applexus' expertise in the latest Data Management tools and techniques. With our unique pre-built solutions and RunningStart methodology our objective is to reduce project and provide quick ROI by implementing complex solutions at a smaller scale but wider scope.”

Ratan Verma
Ratan Verma Practice principal - Data Management & Data and Analytics

Ways to get Started

 

Assess the business readiness of your data today

Engagement

  • Assess data readiness for analytics and standard S/4 functionality
  • Assess key Business Ready data gaps for analytics and for S/4
  • Demonstrate Rapid Data Profiling Capabilities
  • High-level Cleansing Plan for Vendor domain

Takeways

  • Insights into impact of data transformation
  • Deployable Data Quality model for domain to identify gaps and accelerate solutions
  • High-level plan to cleanse data and mitigate risks to S/4 Implementation

Assess trustworthiness of your data today

Engagement

  • Identify the key data sources and elements specifically for the Vendor Spend functionality
  • Instantiate a “Design Time” Data Governance Model, identifying domain owners and stewards
  • Assess key data gaps, and make recommendations for remediation

Takeways

  • Insights into data impacts on Master data
  • High-level Data Governance model that can grow into Enterprise Data Governance
  • Deployable Data Quality model for Vendor domain to identify gaps and build into other domains
  • High-level plan to cleanse data and mitigate risks to Analytics Implementation

Schedule a Consultation

Requires just a fraction of a minute from your schedule.