Duration: 2 days
Data is the new currency of business. In today’s digital economy, companies create and have access to more data than ever before. This data creates a foundation of intelligence for important business decisions.
Data management is the practice of collecting, organizing, protecting, and storing an organization’s data so it can be analyzed for business decisions. As organizations create and consume data at unprecedented rates, in order to ensure that organizations have the right data for decision-making, it is imperative that they must invest in sound data management practices and processes.
This Training will help simplify the understanding of data, data management principles and good practices, governance around data and how to build processes and systems that will enable high trust in data and make data pipelines the fundamental fulcrum of doing business.
Module 1:
- Decoding the mystique of Data.
- Structured, Semi structured, Unstructured data.
- Data sources.
- Some Key terms.
Module 2:
- Data as a Product- applying product management principles to Data.
Module 3:
- Cost of Data.
Module 4:
- Understanding the Data Lifecycle.
Module 5:
- Who are the Key actors in the Data Play? Roles and Responsibilities.
Module 6:
- Data collection, extraction and Transformation.
Module 7:
- Data Quality- the eternal challenge; how to get to clean data.
Module 8:
- Data Catalog, Data dictionary, Meta Data.
Module 9:
- Data modeling and architecture, Data storage.
Module 10:
- Data Management plan.
Module11:
- Data Governance, Security , Privacy.
Module 12:
- Use of Data in Artificial intelligence systems.
Module 13:
Implementing Management systems for Data
- Scoping.
- Approach.
- Stakeholders.
- Team structure.
Frameworks in Industry- DAMA DMBOK, CMMI for Data.
