Enterprise Data Management
Huge amounts of data are input and ingested by disparate teams and applications across the enterprise landscape, and this data drives operations and business decisions at all levels. Improved data quality increases the bottom line, improves customer satisfaction and internal user experience, and reduces the financial risk to organizations. The Inspirage Enterprise Data Management team connects people with streamlined processes and leading technologies to create a tailor-made enterprise data management solution that best fits your business needs.
Our Services
Inspirage’s Enterprise Data Management (EDM) practice specializes in industry-leading methodologies, tools and accelerators to solve complex business problems and gain competitive advantage by enabling organizations to define, integrate, govern and retrieve data.
Leverage EDRA to quantify business process and data maturity of our clients as it relates to managing enterprise data around the following pillars:
• Business Process Assessment: Assess current business processes around data creation, data maintenance to improve agility and decision-making ability
• Data Architecture: Assess current data architecture and data flow to recommend scalable future state architecture
• Data Quality: Perform data profiling on pre-defined KPIs to uncover data challenges and provide recommendations
• Data Governance: Review current data governance framework for key data entities to recommend future state
Leverage CDRA to quantify business process and data maturity of our clients as it relates to managing enterprise data around the following pillars:
• Business Process Assessment: Assess current business processes around data creation, data maintenance to improve agility and decision-making ability
• Data Architecture: Assess current data architecture and data flow to recommend scalable future state architecture
• Data Quality: Perform data profiling on pre-defined KPIs to uncover data challenges and provide recommendations
• Data Governance: Review current data governance framework for key data entities to recommend future state
Our holistic approach to enable and maintain your data is based on the below pillars:
• Business Process Enablement: Support operational business process activities around data creation, data maintenance to improve user productivity
• Data Quality and Cleansing: Identify data issues on key master and transactional data entities with data profiling and recommend a detailed plan for data cleansing
• Data Governance: Enable business teams for data cleansing and validate cleansed data for any secondary data issues
• Ongoing Data Maintenance: Support ongoing data maintenance activities with deep business knowledge and technology expertise
Leverage Product Hub Cloud to drive strategic business benefits
• Product Data Model: Build a robust, extensible, secured, auditable data model to enhance business productivity and regulatory compliance
• Product Data Definition: Centralized product data definition and maintenance reduces manual rework and errors
• Product Data Governance: Enterprise wide governance and approval processes to eliminate/minimize data quality challenges on an ongoing basis
• ERP Enablement: Accelerate ERP transformation by streamlining foundational business processes with Product Hub Cloud
Leverage Customer Data Management Cloud to drive increased revenue and customer satisfaction
• Business Process Enablement: Enable implementation and operational business process activities around customer data creation and maintenance
• Customer Data Model: Build a robust, extensible, secured, auditable customer data model to enhance business productivity and regulatory compliance business processes
• Customer Data Definition: Centralized customer data definition providing a single enterprise view
• Data Quality/Governance: Enhance customer data quality with integrated cleansing and matching capabilities
Achieve the full-potential of any transformation by leveraging Cloud Data Migration Utility for data onboarding
• Data Standardization: with pre-built industry rules coupled with pre-emptive data quality checks
• Data Transformation: Automated and tailored data transformation for seamless data onboarding to Cloud
• Accelerated Data Migration: Smart dashboards with rich, graphical and interactive interface for simplified error reporting and reprocessing
Embrace data quality and data enrichment to improve agility, scalability and decision-making process
• Business Process Paradigm: Enable implementation and operational business process activities around data creation, data maintenance to improve overall data quality index
• Data Quality and Cleansing: Identify data issues on key master and transactional data entities and recommend a detailed plan for data cleansing leveraging data quality tools
• Data Governance: Enable business teams for data cleansing and validate cleansed data for any secondary data issues
Application Expertise
EDM processes span across people, processes, and technology, which all come together to enable business process transformation and supply chain optimization. Here are the key Oracle tools in which we specialize:
- Product Data Hub
- Customer Data Hub
- Enterprise Data Quality
- Supplier Data Hub
- Site Hub
- Data Relationship Management (DRM)
Featured Solutions
At Inspirage, we can help your company mitigate data risks by taking a proactive approach to managing your information. Here is a sample of the different services offered by our team:
Benefits and Features
The goal of the EDM consulting practice at Inspirage is to ensure data quality and synchronize organizational data. As supply chains continue to become more complex, with new types of data and new ways to incorporate insights into every level of a company, how does all of this information remain unified throughout an organization and how do you make sure you’re using the most accurate data available? These are the key issues that the EDM consulting practice strives to solve.
In order to enact real business improvement, become more efficient, take advantage of cost savings and reduce supply chain risk, enterprises need to evaluate important concepts within their data management practices. Several key master data issues that impact enterprise value include:
- Agility: How easy is it to reuse information? How easy is this data to access?
- Availability: How much time does it take to plan, source and unify inconsistent master data?
- Leanness: Can people, processes and technologies be reused or pooled across an organization?
- Standards: How is the data standardized? When limited standards for information, process, and technology are in place, this can result in a higher total cost of ownership of these assets.
- Accuracy: Is the data unified across an entire organization? Is it accurate?
- Governance: Who has control over the data? Where does it live?
When partnering with Inspirage, your organization can realize the true value of your data by dealing with these issues before they become real problems. By deploying our EDM and Master Data Management (MDM) solutions, you can expect to establish a competitive advantage that you can count on to enhance your business processes.