Proving the Value – Data Governance Metrics

Instructor:

Lowell Fryman, Customer Success Practice Principal

Objectives:

  • Identify the data governance metrics 
  • Construct the organizational metric categories
  • Organize data quality metrics

 
Description:

Metrics are often aggregated to meaningful levels, such as domains or lines of business. Metrics report progress towards a goal. Metrics measure the data governance value and the business benefits the data governance is achieving. Be sure to reference your business case to ensure you are capturing the right metrics. Metrics are useful to communicate the status of the program and to educate team members. They are also used to measure maturity and adoption of the data governance program.

Top-Down or Bottom-Up: Identifying Critical Data

Instructor:

Lowell Fryman, Customer Success Practice Principal

Objectives:

  • Identify critical data
  • Select data elements
  • Model from critical business term level

Description:

How do you know what data is necessary for regulatory reporting and how to ensure compliance? With the massive amount of data available to employees across an enterprise, how will they determine which is most valuable and critical for compliance activities? Evaluating the data elements which are most important to the enterprise will allow for clarity and establish a scope. Analyzing the data used for reporting, the reporting currently being used, the computations and models being implemented and analysis of data lineage will establish the first step in identifying the most valuable critical data for the enterprise. Applying a top-down process will aid in developing a business glossary, therefore creating critical business terms and define the terminology for the data. This process supports consistency and improved communications across the company.

Data Governance Strategy – Data Governance Principles and Policies

Instructor:

Lowell Fryman, Customer Success Practice Principal

Objectives:

  • Identify data governance principles and policies
  • Apply principles to develop roadmap
  • Utilize policies for roles and responsibilities

Description:

A key aspect of creating Data Governance principles is to make them short and sweet so everyone can remember! The principles establish the data culture, drive desired outcomes and form the Data Governance roadmap. Data Governance policies can then be developed for multiple principles and are used to measure Data Governance compliance. The policies outline the What, Why and Who level and support the operating procedures and standards. Implementing both Data Governance principles and policies into practice provides your team with the guidance and knowledge necessary to succeed.

Day in the Life of a Steward

Instructor:

Claire Boger, Director of Education

Objectives:

  • Apply the core activities of the issue management workflow
  • Identify the business traceability of an issue
  • Select an issue on a CDE

Description:

Data Stewards need to be able to efficiently use the Helpdesk to track, delegate, automate, and prioritize data issues. The issue management process utilizes our built-in roles and responsibilities. Issues are automatically delegated to responsible business owners, and can be escalated to the data governance council. Using Collibra, data governance specialists can prioritize the solution of data issues, and these decisions are seamlessly relayed to IT, ensuring that the most crucial issues are tackled first.

Evolving Data Governance – Data Governance Maturity

Instructor:

Lowell Fryman, Customer Success Practice Principal

Objectives:

  • Utilize a maturity models to measure progression towards level of specific capabilities.
  • Select capability model
  • Identify metadata strategy

Description:

Data Governance maturity models determine your data maturity level based upon an assessment. There are multiple maturity models and associated assessments on the market and have been standardized within the technology markets but businesses rarely sees the correlation between maturity levels and the impact for their own objectives – and on business results. This course will examine two Data Governance maturity models to help you classify areas to assess, determine criteria for evaluation.

Getting Started in BCBS 239

Instructor:

Simon Hankinson, Global Financial Services Market Lead

Objectives:

  • Examine the operating model
  • Categorize the critical data elements
  • Inspect the BCBS 239 principles

Description:

In this course you will be introduced to the BCBS principles and explore how to establish prioritizes in preparing and creating your report. The relationship and value the BCBS regulatory adherence implies on other regulatory requirements will also be explored. Upon completion of this course you will be able to: Examine your organization and to interpret an approach to data governance, establish priorities to start your BCBS 239 Data Governance initiative, and describe the BCBS 239 principles.

Healthcare Analytics Overview

Instructor:

Justin Washburn, Presales Engineer

Objectives:

  • Utilize self-service analytics
  • Organize stewardship
  • Assess report quality

Description:

The Healthcare Analytics Overview course reviews how Collibra supports analytics and Tableau reports within a Healthcare setting. We will start with Tableau and work through the associated steps to understand the source of the data, identify the analytics and ensure all data citizens can access the trusted data. Collibra provides the support for every steward to access the metadata surrounding reports, the business terms in the reports, people who own those terms, how it can be stewarded, it’s quality, and how it was generated. We want to facilitate self-service analytics. Collibra provides a single place to look for cataloged and curated data assets. The curated assets could contain lists of surgeons, lists of policies, lists of procedures, lists of reference data, anything that you want to know within the organization. By using Collibra, we’ll show how you can create traceability diagrams and demonstrate the source of the data. You can explain who owns it, who created it, who’s the expert for it. The idea is to make the self-service analytics easy to use for every data citizen.

Data Governance Finance Services Business Case

Instructor:

Lowell Fryman, Customer Success Practice Principal

Objectives:

  • Develop the business case to establish the value proposition
  • Select the business processes
  • Identify the risk, value and cost

Description:

Business cases establish a business value proposition for Data Governance. Developing a business cases identifies business outcomes, use cases and desired capabilities. It identifies potential business processes, resources, technology and costs. The process involved in beginning to build the business case include creating your team with input from the Data Governance sponsor, Finance and the leading business advocates. Next, define the Business Case Financial template. And finally, develop a project plan for the business case. Clearly define the objectives and use cases, determine the amount of necessary activities to be involved, develop a schedule, solicit all necessary resources and confirm all commitments. And finally, kick off the effort.

Data Governance Healthcare Business Case

Instructor:

Lowell Fryman, Customer Success Practice Principal

Objectives:

  • Develop the business case to establish the value proposition
  • Select the business processes
  • Identify the risk, value, and cost

Description:

Business cases establish a business value proposition for Data Governance. Developing a business cases identifies business outcomes, use cases and desired capabilities. It identifies potential business processes, resources, technology and costs. Developing a business case supports identifying anticipated business value and returns, as well as the intangible benefits. Clearly define the objectives and use cases, determine the amount of necessary activities to be involved, develop a schedule, solicit all necessary resources and confirm all commitments. And finally, kick off the effort!

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