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Cargando... Non-Invasive Data Governancepor Robert S. Seiner
Ninguno Actualmente no hay Conversaciones sobre este libro.  EmreSevinc | Jan 25, 2018 |  sin reseñas | añadir una reseña
Data-governance programs focus on authority and accountability for the management of data as a valued organisational asset. Data Governance should not be about command-and-control, yet at times could become invasive or threatening to the work, people and culture of an organisation. Non-Invasive Data Governance focuses on formalising existing accountability for the management of data and improving formal communications, protection, and quality efforts through effective stewarding of data resources. This book provides you with a complete set of tools to help you deliver a successful data governance program. Learn how: Steward responsibilities can be identified and recognised, formalised, and engaged according to their existing responsibility rather than being assigned or handed to people as more work. Governance of information can be applied to existing policies, standard operating procedures, practices, and methodologies, rather than being introduced or emphasised as new processes or methods. Governance of information can support all data integration, risk management, business intelligence and master data management activities rather than imposing inconsistent rigour to these initiatives. A practical and non-threatening approach can be applied to governing information and promoting stewardship of data as a cross-organisation asset. Best practices and key concepts of this non-threatening approach can be communicated effectively to leverage strengths and address opportunities to improve. No se han encontrado descripciones de biblioteca. |
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 Google Books — Cargando...GénerosSistema Decimal Melvil (DDC)658.478Technology Management and auxiliary services Management Executive Business intelligence and security Computer securityClasificación de la Biblioteca del CongresoValoraciónPromedio: (3.25)
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The author provides solid examples of conveying the value of Data Governance to the higher management, and showing how DG ties to the business value at the enterprise level. This is important at the beginning of a DG program, and also for sustaining it, introducing it at lower levels, etc. because unless enough care is taken, there's a high risk of resistance from various departments and people (hence the author's focus of being non-invasive from the start).
I liked the The Data Governance Test in which various dimensions and aspects of DG program are clearly laid out in the form of testing where your company is in this journey, such as:
Risk Management
Data Compliance & Regulatory Control
Information Security & Data Classification
Metadata Management
Data Quality Management
Business Intelligence and Data Integration
Master Data Management
Data Stewardship
Another artifact I found useful as a Data Officer is the Common Data Matrix, a two-dimensional grid in the form of a spreadsheet that cross-references data of an organization with the individuals who define, produce, and use data. This spreadsheet also registers the DSMEs (Data Subject Matter Experts), and SSMEs (System Subject Matter Experts), because these are the people that can become involved if and when necessary in governance activities pertaining to the data they know.
The book also does a good job of identifying strategic, executive, tactical, and operational layers, showing how they are connected, and what the responsibilities of people are in each of these layers. I think this knowledge is important for establishing successful DG, because you should be very conscious about what you can expect from which roles in a company.
Apart from these positive points, the book does not add a lot of detail in terms of concretely running a DG program. As I wrote in the beginning, it is a quick introductory text; it's Index is only two pages, and it doesn't have References or Further Reading section at the end. You'll definitely need to consult other sources in your DG journey. (