BS 10102-2:2020:2022 Edition
$102.76
Big data – Guidance on data-intensive projects
Published By | Publication Date | Number of Pages |
BSI | 2022 | 20 |
This part of BS 10102 provides guidance on good practice for implementing data-intensive projects to realize value, including:
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defining project objectives and project type;
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data project management methodology;
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project roles and responsibilities;
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defining the approach to governance and compliance (see BS 10102‑1:2020, Clause 6);
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operating governance and compliance within a framework;
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working with partners, suppliers, technology providers, consumers and other third parties; and
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project closure – review against project objectives, communication and lessons learned.
It is applicable to public, private, non-profit and not-for-profit organizations of all sizes.
It does not give guidance on the funding arrangements for projects.
This British Standard does not repeat general project management approaches defined in other standards.
PDF Catalog
PDF Pages | PDF Title |
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4 | Foreword |
7 | Introduction |
8 | Figure 1 — Relationship between parts of BS 10102 1 Scope |
9 | 2 Normative references 3 Terms and definitions 4 Project types 4.1 General 4.2 Defined (specified) projects 4.3 Exploratory projects 4.4 Research and development type projects |
10 | 4.5 Transformational projects 4.6 Other projects 5 Guidelines for data-intensive projects 5.1 General 5.2 Requirements for documentation |
11 | 5.3 Project data requirements 5.4 Project responsibilities |
12 | 5.5 Communications 5.6 Data sourcing |
14 | 5.7 Data preparation 5.8 Data processing |
15 | Figure 2 — High-level process of data analysis |
16 | 5.9 Modelling methodology Table 1 — Example data model types 5.10 Evaluation of processing outputs |
17 | 5.11 Project outputs 6 Data security, privacy and ethics 7 Change management 8 Project closure 8.1 General |
18 | 8.2 Delivery of project outputs 8.3 Lessons learned |
19 | Bibliography |