Data Management
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 solutions with 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
High-Level Deployment Plan that calls out the business impact/improvement potential and sequences the deployment of data management capabilities aligned with the business priorities of the organization
Data Health Assessment
With Applexus’ unique assessment methodology, analyze current state of data readiness and data gaps within a very short duration of time to curate a high-level roadmap plan
Data Strategy
Focused approach on prioritised in-flight or planned initiatives that will drive changes to the processes, organizational structure and systems across the enterprise
Define Future State
Carefully curated strategy roadmap to define future state of business processes, standards and technologies with recommendations crafted for your business goals and objectives
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
Data Tiering
Robust data archiving of non-SAP source systems or archiving the existing SAP system
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
- 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
Ratan Verma
Practice principal- Data Management & Data and Analytics
Arun Bhaskaran Nair
Associate Director - Data Migration
“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
Practice principal - Data Management & Data and Analytics
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
Have a doubt? Reach out to our experts
Applexus offers a comprehensive set of expert services for data management that can be delivered as part of an Applexus Prime engagement or in a plug-and-play model with another systems integrator or a customer-led implementation program.
- Deep domain knowledge of SAP Data and select industries
- Thought-leadership in Data design to enable advanced analytics
- Advanced methodology, tools and processes
- Deep data migration expertise with tools such as SAP Data Services, Information Steward, LTMC and IRPA
- Agile approach and leveraged offshore data migration factory
- Advanced tools and pre-built content for Data Governance strategy and implementation
- Robust toolset and methodology for Data Integrity remediation
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