Chief data office strategy application
OwnerShaik Mohammad Assad, Shahina Shaikinventors
Life of this patent
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Abstract
A system for Chief Data Office is provided, as well as a defined structure, that has not previously existed, to expedite the process and reduce room for error while saving valuable time and money for those managing Chief Data Office. The predefined templates included in the software greatly reduce the room for error while making data management easier for all of those involved. Now that industries are transforming into more computer centered data storage models, the value of data is quickly becoming recognized, and the need for tools such as this to improve accuracy, value and efficiency are in exceedingly high demand, with no other tool such as this existing today.
Claims20
1- CDO application process This application provides a process, methodology and templates, to quickly setup the chief data office by defining and managing the enterprise data strategy, data governance framework, risk data assessment and CDO functional organization.
2- Enterprise Data Strategy Application Process This application module provides a process, methodology and templates, to quickly setup the enterprise data strategy;
- Enterprise data strategy is a 5 step process of:
- Step 1:
- Defining Corporate and Business unit objectives;
- Step 2:
- Identification of required data capabilities to support the Corporate and Business Unit objectives;
- Step 3:
- Identification of existing data capabilities to support the corporate and Business unit objectives;
- Step 4:
- Identification and definition of data initiatives, by performing Fit/Gap between step 2 and step 3 and
- Step 5:
- Generating Business Data Roadmap, with both strategic and tactical initiatives with detailed plan.
3- Data Framework Templates;
- claim 3 is dependent on claim 2, where defining the corporate and business unit objectives are necessary;
- Pre-delivered industry best practice data framework templates from which to choose and enhance to fit enterprise needs, eliminating the need to start from scratch with the following options:
- Template 1—Data Transformation Framework that is pre-populated with the leadership vision, business drivers and business line priorities that are aligned with the transformational change;
- users will be able to select this template, activate and make necessary changes to fit their business needs;
- Template 2—Data Optimization Framework that is pre-populated with the leadership vision, business drivers and business line priorities that are aligned with optimizing data and related assets;
- users will be able to select this template, activate and make necessary changes to fit their business needs;
- Template 3—Custom Framework where users can create a customer data framework from scratch and define the Leadership vision, Business drivers and Business Line priorities.
4- Data Capabilities Template;
- claim 4 is dependent on claim 2, where the Identification of required data capabilities support the Corporate and Business Unit objectives, and this template comes with pre-defined common data capabilities that might be required to support the generic corporate and business unit objectives from which to choose and enhance to fit enterprise needs, eliminating the need to start from scratch;
- using this template, user can quickly check the capabilities that are existing within the enterprise, highlight the issues or opportunities associated with these capabilities.
5- Fit/Gap Analysis Application Screen;
- claim 5 is dependent on claim 2 to help Identification of existing data capabilities to support the corporate and Business unit objectives and Identification and definition of data initiatives, by performing Fit/Gap between step 2 and step 3:
- the application process of displaying the required capabilities from the “Data Capabilities” tables and allowing user to select the existing data capabilities from the list and comparing with required capabilities to perform the fit/gap analysis;
- using this application screen, users will be able to populate the required capabilities from data capabilities tables and select existing data capabilities;
- if the capability is existing and complete, it can be marked as Fit, any capabilities that are not complete or not existing are marked as Gaps;
- all identified gaps are converted into data initiatives, assigning one or more milestones for each data initiative.
6- Business Data Roadmap;
- claim 6 is dependent on claim 2, to help generate Business Data Roadmap, with both strategic and tactical initiatives with detailed plan;
- the application process displays a list of data initiatives on the Business Data Roadmap Application Screen, and allows users to enhance further by drag and drop of the data initiatives on the Business Data Roadmap screen in both the Strategic goals and Tactical problems container/boxes, the outcome of these activities will provide a quarterly view of data initiatives execution plan, with one or more milestones.
7- Data Governance Framework This application module provides a process, methodology and templates, to quickly setup the data domains and data policies;
- Enterprise data strategy is a 2 step process of:
- Step 1:
- Defining Data Domains and
- Step 2:
- Defining Data Policies.
8- Data Domain Templates;
- claim 8 is dependent on claim 7 to setup Data Domains, with pre-delivered industry best practice data domain templates from which to choose and enhance to fit enterprise needs, eliminating the need to start from scratch with a list of Pre-Delivered Master Data Domain Templates:
- Template 1—Consumer;
- Template 2—Commercial;
- Template 3—Product;
- Template 4—Vendor;
- Template 5—Workforce;
- Template 6—Location and
- Template 7—Custom Domain;
- List of Pre-Delivered Transactional Data Domain Templates:
- Template 1—Consumer Loans;
- Template 2—Commercial Loans;
- Template 3—Deposits;
- Template 4—Payments and
- Template 5—Custom Domain;
- List of Pre-Delivered Derived Data Domain Templates:
- Template 1—Marketing;
- Template 2—Sales;
- Template 3—Risk;
- Template 4—Finance;
- Template 5—Operations and
- Template 6—Custom Domain.
9- Activating Existing Domain Templates;
- claim 9 is dependent on claim 7 to define the Data Domains, where the application process selects the most suitable data domain templates, activating them and enhancing to fit the enterprise needs;
- the users can view the list of domain templates, select the domain templates that best fit their business needs, and activate them;
- after activation, users will have the option to make any changes to the pre-delivered content.
11- Data Policy Templates;
- claim 11 is dependent on claim 7, defining data domains to setup Data Policies, using Pre-delivered industry best practice data policy templates from which to choose and enhance to fit enterprise needs, eliminating the need to start from scratch;
- these policies have pre-defined guiding principles and data standards that can be further modified to fit the enterprise needs using a list of Pre-delivered data policy templates:
- Template 1—Enterprise Data Management Policy;
- Template 2—Master Data Management Policy;
- Template 3—Big Data Management Policy;
- Template 4—Metadata Management Policy;
- Template 5—Data Provisioning Policy;
- Template 6—Data Storage Policy and
- Template 7—Data Issue Management.
12- Creating a Custom Data Policy Template;
- claim 11 is dependent on claim 7 defining data domains to create Custom Data Policies, where the application process creates a custom data policy template;
- if none of the pre-delivered data policy templates fits enterprise needs, users can create a new/custom template with enterprise specific information, save the template and use it in the data governance process.
13- Data Maturity Assessment Templates The application process selects the most suitable data maturity assessment template, activating and enhancing to fit the enterprise needs;
- the users can view the list of data maturity assessment templates, select the templates that best fit their business needs, and activate them;
- after activation, users will have the option to make any changes to the pre-delivered content;
- using this template, the user will be able to provide the ratings of data maturity principles questionnaire on a scale of 4, provide rating justification and attach artifacts to support the ratings;
- users can also view the comparative analysis of several previous year(s) rating and the data maturity growth graph.
14- Creating a Custom Data Maturity Assessment (DMA) Template;
- claim 14 is dependent on claim 13, providing an option of creating a custom Data Maturity Assessment Template where the application process creates a custom DMA template;
- if none of the pre-delivered DMA templates fits enterprise needs, users can create a new/custom template with enterprise specific information, save the template and use it for yearly assessment of data capabilities maturity;
- users can select the pre-delivered data maturity categories, principles within each category and questionnaire to provide ratings;
- users will be able to provide the ratings of data maturity principles questionnaire on a scale of 4, provide rating justification and attach artifacts to support the ratings;
- users can also view the comparative analysis of several previous year(s) rating and the data maturity growth graph.
15- Data Demand Management Application User Screen;
- claim 15 is dependent on claim 2, generating Business Data Roadmap, with both strategic and tactical initiatives with detailed plan;
- all the data problems of the Chief Data Office organizations are logged as opportunities in the Demand management function;
- these opportunities will be prioritized and eventually addressed based on the business criticality;
- the application process captures the data demand across all business lines, setting-up priorities to each demand, converting the demand into the data initiatives or milestones within each data initiative.
16- Data Demand linking to Business Data Roadmap;
- claim 16 is dependent on claim 2, generating Business Data Roadmap, with both strategic and tactical initiatives with detailed plan;
- the application process links the approved data demand to the business data roadmap, under the strategic goals or tactical problems container/box.
17- Functional Organization Structure Template It provides pre-defined industry standard CDO functional organization templates for Chief Data Officers to use;
- these templates may be used as is or enhanced based on need;
- it can manage a four tier chief data office organizational structure as described below:
- Tier 1 is the CDO “Chief Data Office”;
- Tier 2 includes the pre-defined CDO functions like data demand management, data governance, data science, data operations, data quality, data strategy and architecture;
- Tier 3 includes the pre-defined data management initiatives under each data function (E.g., MDM, BigData, Metadata, Data Governance, Anti-Money Laundering/Bank Secrecy Act, Fraud Analytics, Customer Lifetime Value, Digital Platform) and
- Tier 4 includes the pre-defined milestones under each initiative and resources assigned to each milestone.
18- Creating a Custom Functional Organization Structure (FOS) Template;
- claim 18 is dependent on claim 17;
- the application process creates a custom FOS template;
- if none of the pre-delivered FOS templates fits enterprise needs, users can create a new/custom template with enterprise specific information, save the template and use it in the Chief Data Office management process;
- user can drag and drop the pre-defined data functions, and place the data initiatives within respective function (initiatives that were captured in Fit/Gap process, and each data initiative have one or more defined milestones).
19- Creating a Custom Domain Template;
- claim 10 is dependent on claim 7 defining Data Domains, with the application process creating a custom domain template;
- If none of the pre-delivered domain templates fits enterprise needs, users can create a new/custom template with enterprise specific information, save the template and use it in the data governance process.
19- Associating the Teams and Team Members to Functional Organization Structure (FOS) Template;
- claim 19 is dependent on claim 17;
- the application process creates a custom FOS template;
- if none of the pre-delivered FOS templates fits enterprise needs, users can create a new/custom template with enterprise specific information, save the template and use it in the Chief Data Office management process;
- User can drag and drop the pre-defined data functions, and place the data initiatives within respective function (initiatives that were captured in Fit/Gap process, and each data initiative have one or more defined milestones).
20- CDO Application works on Hadoop, Oracle, Sql Server, Mysql This application has been designed and developed to work of many other types of databases;
- it can work on Hadoop (HIVE), mysql, Sql Server, Oracle and several other databases;
- this application uses the Hibernate capability of Java that helps to switch databases without change in code or sql statements.