Definian services and solutions

Data monetization is powerful way to drive value from data assets. It is possible to monetize data indirectly by finding ways to reduce costs, manage risk, and improve operational efficiency.  Conversely data can be monetized by selling data, delivering data-enabled services, or building new data products. For companies to realize these data monetization goals, they will need to answer some hard questions, including:

• How do I determine the value of my data?
• How can I drive more value from my data?
• How can I master regulatory compliance and manage risk?
• How can I demonstrate the quality and integrity of my data?
• How can I share data reliably and legally?

At Definian, we help organizations discover new opportunities for monetizing their data and implement disciplined processes to help you realize your business goals. We draw on our cross-disciplinary expertise in data management, regulatory policy, and finance to help you explore data monetization use cases and implement processes that are well-governed and compliant.

Disciplined Discovery

Our five-step advisory service helps executives and other stakeholders uncover new ways of thinking about your data, build an inventory of use cases, and align your data monetization tactics with the strategic goals of your business.

Step 1: Identify Stakeholders

Step 2: Build an Inventory of Use Cases

Step 3: Develop Business Cases

Step 4: Execute Initiatives

Step 5: Realize Business Benefits

Risk Mitigation

Quickly driving value from data is attainable by understanding the impact of new and emerging regulatory requirements. Our advisory staff, many of them legal engineers, help your organization implement data monetization strategies that meet the most stringent regulatory policies—saving you time and money and reducing the risk involved in new data initiatives. We have expertise in these critical areas:

Banking and Finance

• Current Expected Credit Loss (CECL)
• Comprehensive Capital Analysis and Review (CCAR)
• Anti-Money Laundering (AML)
• Office of Foreign Assets (OFAC)
• Financial Crimes Enforcement Network (FinCEN)
• Community Reinvestment Act (CRA)

Sensitive Data Management

• California Consumer Privacy Act (CCPA)
• EU General Data Protection Act (EU GDPR)
• Children’s Online Privacy Protection Act (COPPA)
• Video Privacy Protection Act (VPPA)

Data monetization services from Definian can help you leverage data and information to increase revenues, reduce costs, and drive competitive advantage while mitigating risk.

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Data Migration Overview

Whether it is Human Capital Management (HCM), Finance, or Student, the implementation of a Workday system is a major undertaking and data migration is a critical and risky component.

• Data from multiple legacy sources needs to be extracted, consolidated, cleansed, de-duplicated, and transformed before it can be loaded into Workday.
• The data migration process must be repeatable, predictable, and executable within a specific timeframe.
• Migrated data needs to be reconciled against the legacy source data after loading to Workday.
• Issues with data migration will delay the entire implementation or Workday will not function properly.
• If the converted data is not cleansed and standardized, the full functionality and potential Workday has to offer will not be realized.

Data Migration Challenges

Many obstacles are encountered during a Workday implementation, each increases the risk of project overrun and delay. Typical challenges include:

• High levels of data duplication across disparate legacy systems.
• Unsupported and/or misunderstood legacy systems, both in their functionality and underlying technologies.
• Legacy data quality issues – including missing, inconsistent, and invalid data – which must be identified and corrected prior to loading to Workday.
• Legacy data structures and business requirements which differ drastically from Workday’s.
• Frequent specification changes which need to be accounted for within a short timeframe.

The Difinian Difference

Difinian’s Applaud® Data Migration Services help overcome these challenges. Three key components contribute to Definian’s success:

1. People: Our services team focuses exclusively on data migration, honing their expertise over years of experience with Applaud and our solutions. They are client-focused and experts in the field.
2. Software: Our data migration software, Applaud, has been optimized to address the challenges that occur on data migration projects, allowing one team using one integrated product to accomplish all data objectives.
3. Approach: Our RapidTrak methodology helps ensure that the project stays on track. Definian’s approach to data migration differs from traditional approaches, decreasing implementation time and reducing the risk of the migration process.

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Applaud Eliminates Data Migration Risk

Applaud’s features have been designed to save time and improve data quality at every step of an implementation project. Definian’s proven approach to data migration includes the following:

• Experienced data migration consultants identify, prevent and resolve issues before they become problems.
• Extraction capabilities can incorporate raw data from many disparate legacy systems, including mainframe, into Applaud’s data repository. New data sources can be quickly extracted as they are identified.
• Automated profiling on every column in every key legacy table assists with the creation of the data conversion requirements based on facts rather than assumptions.
• Powerful data matching engine that quickly identifies duplicate information across any data area including employee, dependent, customer, and supplier records across the data landscape.
• Integrated analytics/reporting tools allow deeper legacy data analysis to identify potential data anomalies before they become problems.
• Cleansing features identify and monitor data issues, allowing development and support of an overarching data quality strategy.
• Hundreds of out-of-the-box pre-load validations identify issues within the legacy data and its compliance with Workday configuration prior to the upload into Workday.
• Development accelerators facilitate the building of Workday EIB, Advanced Load and Data Gathering Workbooks (DGW).
• Process that ensures the data conversion is predictable, repeatable, and highly automated throughout the implementation, from the Foundation through the Gold tenant.
• Complete gross-to-net payroll reconciliation process that can be used during the payroll parallel tests allow the client to reconcile every line from every paycheck for every employee down to the penny, presented in a meaningful way to payroll managers.
• Stringent compliance with data security needs ensure PII information remains secure.
• Our RapidTrak methodology provides a truly integrated approach that decreases the overall data migration effort and reduces project risk.

We Take the Risk Out of Data Migration

The implementation of a new ERP/HCM/PLM system is a major undertaking. Data migration is a critical and risky component of any such project

• Data from multiple data sources needs to be extracted, consolidated, cleansed, de-duplicated, and transformed before it can be loaded into the target system.
• The data migration process needs to be repeatable and executable within a specific time frame.
• Migrated data needs to be reconciled against the legacy source data after loading to the target system.
• Issues with data migration will delay the entire implementation or the new system will not function properly.

Data Migration Challenges

Many obstacles are encountered during a data migration, each increases the risk of project overrun and delay. Typical challenges include:

• High levels of data duplication across disparate legacy systems
• Old and poorly understood legacy systems and underlying database technologies
• Inconsistent legacy data quality – including missing, inconsistent, and invalid data – which must be identified and corrected prior to loading the target system
• Misunderstood or undocumented legacy data usage and customizations
• Legacy data structures which differ drastically from the target data structure
• Frequent specification changes which need to be accounted for within a short time frame

The Difinian Difference

Definian’s Applaud® Data Migration Services help organizations overcome these challenges. Three key components contribute to Definian’s success:

1. Software: Our data migration software, Applaud, was built from the ground up to address the challenges that occur on data migration projects, allowing the team to accomplish all data needs using one integrated product.
2. People: Our services team focuses exclusively on data migration, honing their expertise over years of experience with Applaud and our solutions. They are client-focused and experts in the field.
3. Approach: Our RapidTrak methodology helps ensure that the project stays on track. Definian’s approach to data migration projects differs from traditional approaches, decreasing implementation time and reducing the risk of the migration process.

Applaud Eliminates the Risk Around Data Migration

• Experienced data migration consultants identify, prevent and resolve issues before they become problems.
• Extraction capabilities can incorporate raw data from many disparate legacy systems, including mainframe, into Applaud’s data repository. New data sources can be quickly extracted as they are identified.
• Automated profiling on every column in every key legacy table assists with the creation of the data conversion requirements based on facts rather than assumptions.
• Powerful data matching engine identifies duplicate records within and across all in scope legacy systems.
• Integrated analytics/reporting tools allow deeper legacy data analysis to identify potential data anomalies before they become problems.
• Cleansing features identify and monitor data issues, allowing development and support of an overarching data quality strategy.
• Transformation capabilities build easily repeatable data migration programs that can quickly react to specification changes.
• Our RapidTrak methodology provides a truly integrated approach that decreases the overall data migration effort and reduces project risk.

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