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Evolution to Modern Data Management Kapitel lesen Erstes Kapitel lesen

2018 | OriginalPaper | Buchkapitel

6. Implementing a Data Strategy

verfasst von : Mike Fleckenstein, Lorraine Fellows

Erschienen in: Modern Data Strategy

Verlag: Springer International Publishing

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Abstract

Today there is much excitement about using analytics against reams of data to gain better insight. The hope is that more data will keep us from guessing about what is most suitable for our target audience because it allows us to focus on nuanced solutions tailored to our audience. Similarly, there is excitement about accessibility to data. Between storage in the cloud and access by way of mobile devices, the promise of information at our fingertips becomes more and more real. Entire cities are even building public infrastructures to facilitate this type of instant access. For example, in 2014, Google provided the city of San Francisco with complimentary wi-fi access in select public places. In an even more recent example, New York City began converting its outdated phone booths to a city-wide net of ultra-high-speed, free, wi-fi kiosks, in 2016.

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Vorheriges Kapitel Leading a Data Strategy
Nächstes Kapitel Overview of Data Management Frameworks
Fußnoten
3
Lohr, S., “For Big Data Scientists, ‘Janitor Work’ Is Key Hurdle to Insight,” New York Times, August 17, 2014.
 
4
See, for example, Lakshmi, R., et al. “Market Guide for Self-Service Data Preparation for Analytics,” Gartner Research, March 5, 2015.
 
5
Goetz M., Leganza G., & Evelson B., “Vendor Landscape–Data Preparation Tools, Forrester Research, Inc., February 2016.
 
6
Redman, T. C., “Manage Data with Organizational Structure,” HBR Blog Network, https://​hbr.​org/​2012/​11/​manage-data-with-organizationa/​, November 26, 2012.
 
7
A data strategy may sometimes be referred to in slightly different terms, e.g., data management strategy, or as a component of Enterprise Information Management (EIM). See the Definitions and Acronyms in Appendix D for additional detail.
 
8
Adelman, S., Moss, L., & Abai, M., Data Strategy, Addison-Wesley Professional, June 15, 2005.
 
9
Ladley, J., Making EIM Work for Business, Elsevier Inc., 2010.
 
10
We refer here to data architecture components that can include data models, a business glossary, and data lifecycle diagrams, techniques we address later in this book. Such components provide a good picture of what data an organization has. For more detail, refer to the Data Architecture chapter.
 
11
Dalle Mule, L., & Davenport, T., “What’s your data strategy?” Harvard Business Review, May-June 2017.
 
12
Tracey, B., “Business Strategy (The Brian Tracey Success Library),” AMACOM, April 22, 2015.
 
17
See Presidential Memorandum “Open Data Policy—Managing Data as an Asset,” May 9, 2013, https://​obamawhitehouse.​archives.​gov/​open/​documents/​open-government-directive.
 
18
Refer to the Records Management References section in Appendix C for a more exhaustive list of federal data management-oriented guidelines.
 
20
See “Presidential and Federal Records Act Amendments of 2014,” https://​www.​congress.​gov/​bill/​113th-congress/​house-bill/​1233.
 
21
See, for example, the Bureau of the Fiscal Service within the Department of Treasury has created a publicly available a data registry (https://​www.​transparency.​treasury.​gov/​dataset/​data-registry) in which they publish a long list of attributes and associated standards.
 
22
It is important to differentiate between SORNs and architectural systems of record (SOR). The concept of SORN dates to the 1974 Privacy Act which mandates the publishing in the Federal Register of any IT or paper file system “that contains information on individuals and retrieves the information by a personal identifier.” An architectural system of record, on the other hand, denotes an authoritative IT system in which data originates.
 
23
Mearian, L., “As police move to adopt body cams, storage costs set to skyrocket,” Computerworld, September 3, 2015, http://​www.​computerworld.​com/​article/​2979627/​cloud-storage/​as-police-move-to-adopt-body-cams-storage-costs-set-to-skyrocket.​html.
 
24
CMMI Institute, “Data Management Maturity (DMM) Model,” Ver. 1.0, August 2014.
 
25
CMMI Institute, op. cit., p. 3.
 
26
Aiken, P., “Succeeding at Data Management—BigCo Attempts to Leverage Data,” Journal of Data and Information Quality (JDIQ), Vol. 7, Is. 1-2, May 2016, http://​dl.​acm.​org/​citation.​cfm?​id=​2893482.
 
27
For a more detailed discussion of data oriented thinking and the rising role of the Chief Data Officer, see the Leading a Data Strategy chapter in Part II.
 
29
Mearian, L., op. cit.
 
30
Goodison, E., Davis, R., & Jackson, B., “Digital Evidence and the U.S. Criminal Justice System,” Rand Corporation, 2015.
 
31
See, for example, LaClair, J., & Rao, R., “Helping Employees Embrace Change,” The McKinsey Quarterly, No. 4, 2002.
 
Metadaten
Titel
Implementing a Data Strategy
verfasst von
Mike Fleckenstein
Lorraine Fellows
Copyright-Jahr
2018
Buch
Modern Data Strategy

Print ISBN: 978-3-319-68992-0

Electronic ISBN: 978-3-319-68993-7

Copyright-Jahr: 2018

DOI
https://doi.org/10.1007/978-3-319-68993-7_6

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