When it comes to data investment, data management is still asking the wrong questions and positioning the wrong value. The mantra of - It's About the Business - is still a hard lesson to learn. It translates into what I see as the 7 Deadly Sins of Data Management. Here are the are - not in any particular order - and an example:
Hubris: "Business value? Yeah, I know. Tell me something I don't know."
Blindness: "We do align to business needs. See, we are building a customer master for a 360 degree view of the customer."
Vanity: "How can I optimize cost and efficiency to manage and develop data solutions?"
Gluttony: "If I build this cool solutions the business is gonna love it!"
Alien: "We need to develop an in-memory system to virtualize data and insight that materializes through business services with our application systems...[blah, blah, blah]"
Begger: "If only we were able to implement a business glossary, all our consistency issues are solved!"
Educator: "If only the business understood! I need to better educate them!."
I’m sitting on my sofa at home (Yes! Home!) on Sunday morning just before Christmas. I’m “shut down” for the holidays now, but of course, I’m watching Twitter and now listening to my brilliant friends Chris Dancy and Troy DuMoulin discussing CMDB (configuration management database) on the Practitioner Radio podcast. It’s a marvelous episode, covering the topic of CMDB in with impressive clarity! I highly recommend you listen to their conversation. It’s full of beautiful gems of wisdom from two people who have a lot of experience here – and it's pretty entertaining too!
I agree with everything these guys discussed. In particular, I love the part where they cover systems thinking and context as the key to linking everything conceptually. I only have one nit about this podcast, and the greater community discussion about CMDB, though. Let’s stop calling this “thing” a CMDB!
I coauthored a book with the great Carlos Casanova (his real name!) called The CMDB Imperative, but we both hate this CMDB term. This isn’t hypocritical. In fact, we make this point clear in the book. Like the vendors, we used CMDB to hit a nerve. We actually struggled with this decision, but we realized we needed to hit those exposed nerves if we were going to sell any books. Our goal is not to fund a new Aston Martin with book proceeds. If so, we failed miserably! We just wanted to get the word out to as many as possible. I hope we've been able to make even a small difference!
As 2013 comes to a close, it's clear to me that much of the rhetoric about privacy's death was not only premature but downright wrong. Just in this past week, there have been several events that point to how very alive and critically important the topic of privacy is:
The US Senate Committee on Commerce, Science, and Transportation released a report (in advance of a public hearing) about the practices of the data brokerage industry, and how they impact consumers. The report claims that "data brokers operate behind a veil of secrecy, subject to limited statutory consumer protections." This certainly portends the possibility of new legislation being introduced by the committee in 2014.
US District Court Judge Richard Leon ruled that the bulk collection of millions of Americans' call records likely violates the Fourth Amendment of the Constitution. While conflating surveillance with marketing privacy is a dangerous thing, I suspect that this ruling will draw further attention to the volume, scale, and methods of data collection, irrespective of who's doing the collecting.
Perhaps you’ve heard him in meetings — he is the one questioning your results. Perhaps you’ve seen him at his desk surrounded by tombs and tables in an effort to lower incremental sales calculations — he calls it reducing bias. Perhaps you’ve hoped he will not be assigned to your project — he delivers lower lift estimates than his peers. He is the measurement curmudgeon.
How do you detect if a measurement curmudgeon resides in your office? Listen for the following clues/questions:
Is that control group really comparable to the experimental group? Isn’t it biased toward less engaged customers and inflating your measured lift?
Wasn’t that concurrent with our fall promotion? Isn’t that event likely accounting for most of your positive results?
Haven’t sales been trending up? Did you incorporate that trend into your analysis?
I’m very excited to kick off survey development for upcoming Forrester Forrsights surveys that will feature security content. Continuing on from previous years will be the Forrsights Security Survey. This is an annual survey of IT security decision-makers from North American and European SMBs and enterprises. New for 2013 is a Workforce Survey that will provide the (also North American and European) employee perspective when it comes to security and devices in use within their workplace.
These surveys will be fielded April through May, and the results will make their way into published research this summer. Survey development starts now, and I would love to hear what you think about the proposed topics. What are some areas where you’d like to see us gather more data?
Reflections from the 10th Safer Internet Day Conference in Berlin, February 5th 2013
Earlier this month, I had the pleasure of speaking at the Safer Internet Day Conference in Berlin, organized by the Federal Ministry of Consumer Protection, Food and Agriculture and BITKOM, the German Association for Information Technology, Telecommunication and New Media. The conference title, ‘Big Data – Gold Mine or Dynamite?’ set the scene; after my little introductory speech on what big data really means and why this is a relevant topic for all of us (industry, consumers, and government), the follow-up presentations pretty much focused either on the ‘gold mine’ or the ‘dynamite’ aspect. To come straight to the point: I was very surprised, if not slightly shocked at how deep a gap became visible between the industry on the one side and the government (mainly the data protection authorities) on the other side.
While industry representatives, spearheaded by the BITKOM president Prof. Dieter Kempf and speakers from IBM, IMS Health, SAS, and others, highlighted interesting showcases and future opportunities for big data, Peter Schaar, the Federal Commissioner for Data Protection, seemed to be on a crusade to protect ‘innocent citizens’ from the ‘baddies’ in the industry.
Every year the Center For Digital Strategies at Tuck chooses a technology topic to "provide MBA candidates and the Tuck and Darthmouth communities with insights into how changes in technology affect individuals, impact enterprises and reshape industries." This academic year the topic is "Big Data: The Information Explosion That Will Reshape Our World". I had the honor and privilege to kick off the series about big data at the Tuck School of Business at Dartmouth. I am thrilled that our future business leaders are considering how big data can help companies, communities, and government make smarter decisions and provide better customer experiences. The combination of big data and predictive analytics is already changing the world. Below is the edited video of my talk on big data predictive analytics at Tuck in Hanover, NH.
Data security consistently tops the laundry list of security priorities because it must. Organizations are collecting data, creating data, using data, and storing data in some way or another. Mishandle data or disregard privacy, and you’ve got a public relations fiasco on your hands with the potential to disrupt business operations or hurt the bottom line.
So, we know that data security is a priority, but what does that mean? What are organizations actually doing here? How much are they spending, and where are they focusing their efforts? And what are they doing about privacy? I’ve dug into data from Forrester’s Forrsights Security Survey, Q2 2012 and data from the International Association of Privacy Professionals (IAPP) to answer these questions in a newly published benchmarks report for our Data Security and Privacy playbook. Note: This is not a shopping list, nor a check list, nor is it a “spend x% on data security because your peers are doing so!” manifesto. This report is meant to be a starting point for discussion for S&R pros within their organizations to take a closer look at their own data security and privacy strategy.
I spent a jam-packed day with security software and services provider AVG last week, checking out their 2013 product line-up for free antivirus and paid premium products, and participating in roundtable discussions with press, analysts, and AVG executives about consumer security, mobile, privacy and policy. Here are my reactions to what AVG is doing:
LIKE: Consumer data (yes, I’m biased here, being the data nerd). AVG has lots of it and it’s all free. This is awesome because it’s a great resource not just for the industry but for other parties to use in education and awareness program design. They’ve done studies across 11 countries for their Digital Diaries studies, surveying parents and kids of different age brackets from 0 to 17 to understand online behaviors and attitudes. Here’s a data nugget that caught my attention: by the time they are two years old, 81% of children have some kind of digital footprint (online photographs, personal data, email and/or social networking accounts). 81%!
If you think the term "Big Data" is wishy washy waste, then you are not alone. Many struggle to find a definition of Big Data that is anything more than awe-inspiring hugeness. But Big Data is real if you have an actionable definition that you can use to answer the question: "Does my organization have Big Data?" Proposed is a definition that takes into account both the measure of data and the activities performed with the data. Be sure to scroll down to calculate your Big Data Score.
Big Data Can Be Measured
Big Data exhibits extremity across one or many of these three alliterate measures: