Solving the data conundrum: How to leverage tech and ‘big data’ for impact

The big problem of #BigData: incomplete, fragmented data sets and knowledge at NGO’s yet start right by asking the right questions on how to improve organizational performance.  https://t.co/ctyP0XzufO

Sourced through Scoop.it from: www.devex.com

Inspiring NGO Big Data Examples:  The big problem of Big Data is incomplete, fragmented data sets & knowledge. Yet start an analytics project right by asking the right questions on how to improve organizational performance.  

 

Example:  Drill down from high-level “what do you need on a Monday morning” to “How am I performing?” which would then be refined to, “In which areas of health am I failing the most, as of one month ago, and which specific clinics are contributing the most to my nonperformance?” 

Extracting Insights from Vast Stores of Data

Here’s how Amazon Prime, Heineken, and BuzzFeed do Analytics.

Sourced through Scoop.it from: hbr.org

Do you ever see an article you wish you wrote? Well HBR article is it for me as I believe in chasing the business problem vs only looking at only the data & anticipating that it may provide insight. HBR agrees & counters the common wisdom of looking at data first to “find” insights and instead states that “Companies that have been successful in harnessing the power of data start with a specific business problem and then seek data to help in their decision making.”  It then provides 3 examples; Amazon Prime, Heineken and Buzz Feed. A short yet powerful read!  https://hbr.org/2016/08/extracting-insights-from-vast-stores-of-data?

6 Ways To Make Your Company Data-Driven – InformationWeek

Rich Wagner, president and CEO of Prevedere, shares six guidelines he’s developed based on his own experiences seeing good data left to waste at major enterprises, including the Fortune 500 chemical company where he once worked.

Sourced through Scoop.it from: www.informationweek.com

Leaders are launching Analytics and Big Data projects to help organizational performance. Why? The Economist Intelligence Unit found data-driven companies rate themselves substantially higher in terms of financial success than others do
http://boulderinsight.com/fostering-data-driven-culture/

 

Rich Wagner, President and CEO of Prevedere provides insight how do to take early moves:
Look forward, not backward: Go solve a business problem as “Executives needed to know what was going to happen, not what had already occurred.”
Determine the question: Be clear on what questions are needed to understand or solve the Business Problem “Before searching for answers, it’s critical to know what key questions your data should answer.”
Rethink your data sources: Many familiar initiatives are internal data yet “I have found nearly 85% of a company’s performance is dependent upon external factors” so how do you acquire this info?
Don’t go it alone: Partner with vendors who have solutions.
Automate: If the experiment was a success, optimize to make it available as a real-time system.
Mind your presentation: Make answers “part of an existing process” rather than a new awkward bolt-on.

 

Project Teams can work to manage business disruption by following these guidelines and help their organizations transition into data-driven enterprises.

Intelligent humans in Silicon Valley are keeping a wary eye on artificial intelligence – Silicon Valley Business Journal

Five tech titans — Alphabet, Facebook, Amazon, IBM and Microsoft — are forming a group to create a standard of ethics concerning artificial intelligence (AI). They aren’t alone.

Sourced through Scoop.it from: www.bizjournals.com

Today is Labor Day in the USA. We celebrate it by “not working.”  Worried the robot overlords are coming for your job?  Five tech titans — Alphabet, Facebook, Amazon, IBM and Microsoft — are forming a group to create a standard of ethics concerning artificial intelligence (AI.) When us PMs are back to work, we should keep track of these trends and appropriately manage in our Risk Plans. Happy Farewell to Summer!