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Infosys Consulting

Service Offerings

Master data management

One version of accurate master data for entities such as products, customers, vendors, employees and locations is critical to run core business processes. Accurate product and customer data ensures that the right products are shipped to the right location for the customer. Holistic understanding of customer preferences enables marketing campaigns that are tailored to the customer’s needs. Infosys Consulting provides a holistic service offering from strategy to implementation, as well as advice on running master data management programs internally or externally. We offer:

Sub-Service Offering for “Master Data Management”

Enterprise data management strategy

Business challenge

An enterprise data management (EDM) strategy needs to consider all six key aspects of EDM:

  • Strategy
  • Governance
  • Structures and standards
  • Organization
  • Data lifecycle processes
  • Systems andtechnology

The key challenges are:

  • Defining the EDM business case
  • Identification and coordination of effective EDM initiatives
  • Alignment with strategic business and IT initiatives
  • Underestimation of the impact of EDM

Service offering

  • Define data strategy: Establish EDM as an element of business and IT strategy
  • Build the EDM benefit case : Business imperative, business case, benefit areas
  • Stakeholder alignment: Identify EDM issues, coordination and alignment of stakeholders

Execution

  • Assess
    • Assess EDM business impact
    • Analyze as-is EDM situation
    • Execute gap analysis
  • Envision
    • Envision approach
    • Recommend target solution
    • Define EDM initiatives
  • Roadmap
    • Define EDM roadmap
    • Allocate business value and impact
    • Ensure stakeholder support and operationalize the EDM strategy

Value

A holistic enterprise data management strategy enables and supports key business capabilities, and improves the effectiveness and efficiency of business and IT process delivery.

An EDM Strategy:

  • Defines tangible results
  • Outlines the framework for EDM initiatives
  • Creates awareness for the importance of EDM
  • Facilitates appropriate sponsorship
  • Enables communication about EDM
  • Ensures stakeholder support at theexecutive level

Sub-Service Offering for “Master Data Management”

Master data quality services

Business challenge

Data quality is the basis for taking good business decisions. Bad data quality can cost a tremendous amount of money, such as:

  • Lost revenue due to customer dissatisfaction
  • Costs of poor decision making based on flawed data
  • Resources spent on correcting errors

The Key challenges are:

  • How to measure data quality?
  • How to sustainably improve data quality?

Service offering

  • Assess data quality using best practice analysis processes and tools
  • Improve data quality facilitating data cleansing initiatives, accompanied with continuous data quality assessment and monitoring
  • Sustain data quality implementing a data quality process to ensure sustainably reliable data throughout the entire data lifecycle
  • Recommend accompanying measures

Execution

  • In the initial data assessment, we analyze the structure and condition of your data
  • Based on the outcome, we recommend and execute data improvement initiatives and further analysis such as maturity assessment of data processes, data governance, and data organization
  • In order to maintain reliable data, we implement a state-of-the-art data quality process including continuous data quality monitoring

Value

Data quality improvement has direct and indirect impact on financial results. Good data leads to:

  • Better business decisions
  • Higher customer satisfaction
  • More consistent adherence to compliance standards
  • Better creditability in corporate IT systems
  • Decrease of costs related to data verification
  • Faster project deployment

Continuous data quality monitoring creates confidence in data quality, awareness of data quality issues, and allows for working towards tangible results.

Sub-Service Offering for “Master Data Management”

Master data governance and organization

Business challenge

Today, companies are confronted with two aspects on data quality:

  • On one hand, companies want to create, maintain and share data at the best possible level of data quality
  • On the other, data volumes and the amount of different data sources and targets are increasing at a very high speed, and are almost overwhelming

To compete with this challenge, companies need to clearly define responsibilities per data domain and guidelines on how to proceed to manage changes. Changes in data structures, value lists, inclusion of new data sources, and changes in new regulations to respect, etc. All these mainly organizational means are comprised in the design for data governance.

Service offering

  • Definition of data governance for your company, including organization model and assigned responsibilities

Execution

In an insight phase, the current state of data governance will be assessed. Is an information architecture defined and what are the relevant data objects in scope? Are stakeholders identified per data object? Are responsibilities clearly defined for each data object? Are guidelines and policies defined per data object?

In a series of workshops with stakeholders and key users, the data objects will be structured and grouped, and distinct responsibilities will be assigned.

An organizational model will be designed, as well as the roadmap of how to introduce organizational change into the company´s present structure.

To-be defined check points after implementation of the new governance structure will assure the effectiveness of the new organization.

Value

  • With a clear set-up for data governance within your company, data can be kept at the highest level of quality, supporting the overall success of your daily business with correct, accurate and in-time data
  • In case of changes, for example, new data sources, new regulations, etc., people know how to process these changes without posing risks to the company
  • All employees within your company can focus on their actual work, rely on high quality of data, and know that they are acting within the given regulatory boundaries

Sub-Service Offering for “Master Data Management”

Master data management tool implementation

Business challenge

A strategic decision on how to deal with enterprise data can imply to do this with support of a new software solution.

The key challenges are:

  • Identifying the drivers for effective EDM and its impact on solution design
  • Identifying the right architecture per data domain
  • Identifying the right software solution for your purposes
  • Planning the implementation
  • Getting process modelling started and done

Service offering

Implementation of a modern, innovative, effective and scalable EDM platform or software solution, including all necessary project phases, for example:

  • Pre-study (for project definition)
  • Planning
  • Design
  • Implementation
  • Roll-out

Execution

  • Planning of a new EDM software solution.
  • Designing the new solution, typically including data model, workflows, validation and derivation rules, and data distribution
  • Implementing the new solution following a test driven implementation model or agile PM approach
  • Roll-out of the solution, including data migration, cut-over preparation, change management, and training

Value

A holistic Enterprise Data Management strategy enables and supports key business capabilities, and improves the effectiveness and efficiency of the business and IT process delivery.

EDM Implementation:

  • Standardized processes
  • Harmonized data structures
  • Derived data values for minimum data entry
  • Real-time data validation at data entry
  • Achieving high data quality
  • Transparency on changes

Sub-Service Offering for “Master Data Management”

Master data migration and data virtualization

Business challenge

  • Data belongs to disparate source systems and a lot of manual effort is required to get the right answers
  • Information is not shared across the organization, and data duplication and local manipulation happens
  • Changes in business and technology demands require consolidation and migration of data to reduce operating costs
  • The quality of data in legacy systems is poor and requires cleansing so it can be used more effectively

Service offering

Data migration services , with the mission to migrate legacy data structures and integrating them with the new data that will populate those structures.

We will outline the detailed strategy for the development and deployment activities for data migration to achieve a successful transfer of data into the target systems.

Execution

  • SME business engagement
  • Data migration strategy
  • Data profiling repositories
  • Data gap analysis
  • Data mapping – Source to target
  • Extract / cleanse / enrich / validate / load data
  • Data reconciliation
  • Measuring success

Value

  • Effective planning, scoping and refining key requirements with regular health checks on data issues are formulated to drive a successful data migration implementation
  • Post migration – The data is fit for purpose and now the jewel crowns of the business, the users, have the confidence to make informed decisions
  • There is a process to maintain the data quality and integrity across the business through effective data governance using inputs from key SME’s
  • Legacy systems can be decommissioned, reducing operating costs

Service Owner

Europe

Erik van Haaren

Erik van Haaren, Partner

Americas

Prasad Vuyyuru

Prasad Vuyyuru, Partner

APAC

Rod Gallagher

Rod Gallagher, Partner

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