Creating a data program governance strategy is not unlike creating other types of enterprise business strategies.
All in Strategy
Improved Data Access Requires More than Analytics and Technology
Whatever the environment, new data management and analysis technology may be important, but success and sustainability will also be driven by how we manage it and by how successful we are in putting data users and their priorities into the driver’s seat.
Learning From General Electric’s Big Data Challenges
Two risks are apparent for GE’s approach which may also be relevant to other industries where cloud-based analytical platforms are being developed and marketed. (I’m thinking here, for example, of medical devices, prescription medicine, and treatment costs.)
Introduction to PLANNING AND MANAGING BIG DATA PROJECTS: SELECTED ARTICLES
I began researching “big data project management” when I started seeing publications and online discussions concerning big data project “failures” being attributed to the classic reasons for project failure such as scope creep, poor stakeholder engagement, and inadequately understood requirements.
The Tip of the Spear: Connecting Big Data Project Management with Enterprise Data Strategy
“If data analysis is Big Data’s “tip of the spear” when it comes to delivering data-dependent value to customers or clients, we also must address how that spear is shaped, sharpened, aimed, and thrown – and, of course, whether or not it hits its intended target. We also want the processes associated with throwing that spear to be both effective and efficient.”
Understanding the Challenges of Big Data Project Management: “The Data Must Flow”
If what Nate Silver said in a recent presentation is true – “Big Data has Peaked, and that’s a Good Thing” – perceptions about big data are maturing.
The Commerce Data Advisory Council's 2nd Meeting: Storytelling, Staff Recruiting, and Complex Processes
There’s an understanding represented by this group that the data resources being stewarded by Commerce programs both reflect and are critical inputs to U.S. technical and industrial competitiveness. Hopefully this group will be able to facilitate an exchange of useful “lessons learned” and resources across the varied Commerce programs.
Managing Data-Intensive Programs and Projects: Selected Articles
I’ve created this special compendium of posts that are relevant to planning and managing data related programs and projects. There are four groups:
Knowing An Organization’s Data Management Maturity Helps Promote Effective Open Data Program Planning
Each data element in a data asset inventory has its own “lifecycle” that when properly managed provides a framework for tracking and optimizing how data are used from creation through obsolescence.
When it comes to marketing data, “With much data comes much responsibility"
If you’ve spent any time in the market research business you know how cost competitive data services can become. Pressures to maintain data quality mount while customers seem to always want more while paying less.
Using Internet Related Economic Development Goals to Drive Open Data Strategy
While there may be significant capacity issues related to Internet and data access in developing countries, it’s impossible to ignore the disruptive and competitive landscape changes the growing Internet use offers wherever existing industries are adopting — or are being threatened by — web based developments. It make sense for at least some of open data program planning to reflect those realities.
Don’t Just Make Data Open, Make Open Data Useful!
In this post we dive a little deeper into the topic of “open data usefulness.”
CityGram NYC: A Model for Open Data Efforts
At last night’s Open Data Enthusiasts meeting in Washington DC, Chris Whong of Socrata talked about the CityGram NYC system.
“Mobile First” Is An Obsolete Strategy
Government “mobile strategy” must evolve beyond a device focus to a user focus. What we refer to as “mobile devices” today are just the tip of the iceberg as we contemplate our movement through an increasingly interconnected world.
Challenges of Public-Private Interfaces in Open Data and Big Data Partnerships
I would not be surprised if government agencies find themselves experimenting with different organizational and governance structures as they begin to take open data programs more seriously.
Compendium: My Guest Posts for the BaleFire Global Open Data Blog
The full .pdf of this compendium can be downloaded here: /compendium1.pdf
On Measuring Open Data Benefits in International Development Projects
This demarcation between access and actual usage of information has significant measurement and cost implications. No matter how good we are at designing and managing systems for delivering data to users, we’re still going to be challenged in linking system-delivered data to the value of its usage.
Management Needs Data Literacy To Run Open Data Programs
Whether you have useful information stored in documents or in data sets you also need at some point to have the ability and skill to manage or at least understand the processes involved in gathering and analyzing the data.
Don’t Let Tools Drive Enterprise Data Strategy
Isaac Sacolick’s Friend or Foe? How Microsoft Excel 2013 Creates New Data Governance Challenges is a refreshing look at the challenges organizations face as the capabilities of data management tools outstrip the policies and processes for governing how such tools are used.
Data Transparency Needs Data Strategy!
We want systems and processes to be more effective and transparent, we want to be able to take advantage of improved standards and technologies when they make sense — but we also need to balance the cost benefits of change in a fiscally austere and change resistant environment.