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 Strategy

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

Business Driven

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

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

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

Training

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

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

Change Management

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

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

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

Technology Management

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

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

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

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

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

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”

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

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

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 Ownership

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

Define Future State

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

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