Collibra Data Office: Data Products

Instructor:

Alexandre t’Kint, Data Scientist

Objectives:

  • Examine what is a data product
  • Analyze how a data product provides value 
  • Distinguish the steps needed to create a data product

Description:

At Collibra, we see a data product as the output of a data science activity which creates actionable insights from big data. They are valuable, information-enriched solutions that can take different forms, such as data assets, virtual data assets, SQL queries, reports, and dashboards. This course will discuss what is a data product, the ways to create and derive value from a data product, including the necessary approval steps.

Data Governance Best Practices

Instructor:

Kash Mehdi, Customer Success Manager

Objectives:

  • Implement the Operating Model
  • Identify data domains
  • Identify critical data elements within domains

Description:

We are going to review the four best Data Governance practices when launching a Data Governance program. The first step is to focus on the operating model. This is a key element of your Data Governance journey, so in this phase you’re going to define roles, responsibilities. The next step in this process is identification of data domains. This will involve managing key information assets through the Collibra Platform, where you define domains, glossaries, dictionaries, data catalog, the business processes around managing customer information. The third point is identifying the critical data elements within your domains. The fourth and final step is defining control measurements. Now that you defined structure, domains, identified what’s really critical, it takes us to this control measurement, which includes some key activities.

Collibra Data Office: Data as a Strategic Asset

Instructor:

Lisa Kaiser, Operations, Product & Engineering

Objectives:

  • Explain how a data office can unlock value from data
  • Compare the data office key collaborations and partnerships
  • Assess the steps needed to create a data office

Description:

Over the last decade, we have seen countless organizations strive to become data-driven. Key to this mission-critical function is a data office. Led by the Chief Data Officer, this department is responsible for being the champion for data as a strategic, competitive asset by increasing the company’s data intelligence. We’ll begin by discussing how a data office can help unlock value from data. Next, we’ll cover the various organizational approaches to a data office and the key partnerships and collaborations they must have within the organization. Finally, we’ll review some examples of different data offices, including the Collibra Data Office.

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.

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.

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.

Prescriptive Path Introduction

Instructor:

Lowell Fryman, Practice Principal & Capability Manager

Objectives:

  • Outline the Prescriptive Path steps
  • Explain the objective of each step
  • Summarize the key capabilities of each step

Description:

This course presents an overview of the Prescriptive Path, steps one-ten. Each step contains objectives, identification of the key roles involved in the step, the notable prerequisites, the use case, the Collibra applications that maybe involved, and the key capabilities and activities that can help you achieve implementation of that step. The sequencing of the steps will also be addressed. Most users will not start at step one and progress through ten. Your team may skip a step here or there, but it’s important to address all of the steps at some point in time to improve your adaptability and maturity. The steps categorize the progression from strategy to review of your strategy and capturing all of your assets and activities in between.

Collibra Data Office: Data Strategy

Instructor:

Stijn Christiaens, Chief Technology Officer

Objectives:

  • Applies the concept of data strategy to the context of business strategy
  • Identifies the objectives of data strategy
  • Makes use of the Collibra Data Office to execute data strategy

Description:

Moving into the future, data strategy will be essential for a strong and viable business strategy. The Collibra Platform provides a robust set of features that enables users to implement a complete data strategy. Herein we explore the concept of a data strategy and how Collibra Data Office positions us and our users for success. In building out our data office and executing on a data strategy, we are able to create opportunities for learning what works well, both in our software and our approach, and what could be improved. We will also discuss how our Data Intelligence platform is ideal to help connect data to people, insights and outcomes.

Data Governance Readiness

Instructor:

Lowell Fryman, Customer Success Practice Principal

Objectives:

  • Understand the measurable value of initiating a Data Governance program
  • Develop use cases with defined business value propositions
  • Outline the activities in developing a business case

Description:

This course provides an introduction to the principles and practices of Data Governance. We will review the business relevance of data governance and how to establish the business value proposition, use cases, and business cases. Data Governance leadership should focus on identifying specific business value statements that will drive the establishment and roadmap for the Data Governance program. Consider the desired outcomes, potential improvements, business value, and financial returns. The major business value propositions are addressed in use cases from the perspectives of stakeholders and executives. Define the use cases and business case to state the intended outcomes and associated financial considerations. These practices will guide you towards developing and implementing your Data Governance program!

Find, Understand and Trust Your Data

Instructor:  

Jonelle Miller, Account Executive

Objectives: 

  • Understanding data-driven organizations
  • Defining Data Governance
  • Operating the Collibra Platform

Description:

This course will allow you to understand what it means to be a data-driven organization. Being data-driven influences the culture, the decision-making processes, operations, and the people in an organization. Adopting a data governance model and implementing new processes will result in business-driven systems designed for business users. This culminates in everyone in your organization is able to find, understand and trust the data. Finally, there will be a brief demonstration of the applications within the Collibra Platform.

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