kinetics : data driven business
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kinetics : data driven business
articles focussed around the use of business intelligence and data driven decision making in the business environment
Curated by Barry Magee
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If You’re Not Collecting Productivity Data, You’ll Never Succeed at Work

If You’re Not Collecting Productivity Data, You’ll Never Succeed at Work | kinetics : data driven business | Scoop.it
It’s central to self-improvement.
Barry Magee's insight:

I had a great debate with a team of industry leaders yesterday on the role of data in busines soutcomes and we discussed how people don't always use the productivity gains you deliver to enhance their own effectiveness.

The argument here is well made - to take ability to gather more data about your own effectiveness or productivity and take control of improving those outcomes pro-actively.

Keen to know if anyone has experience in this area of knows of applications that allow you explore the topic.

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Deloitte Review, Issue 16

Deloitte Review, Issue 16 | kinetics : data driven business | Scoop.it
It’s the last mile for big data—creating products and services from crowd-based insights, and applying behavioral economics at a personal level. In addition, Deloitte Review issue 16 takes a practical look at cognitive technologies; unlocking the value of the Internet of Things; the manufacturing skills gap and how to address it; and the journey to exceptional performance.
Barry Magee's insight:

creating products and services from crowd-based insights, and applying behavioral economics at a personal level

They've certainly hit on the key issue for me which is the interface between analytics and user-friendly insight. Too often the work of analytics doesn't take end user into account which is both a visual and interpretive challenge as well as a more nuanced approach on the WHY this new 'nugget' should be important to some - the behavioural economics angle they refer to.

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Big Data Prediction: Story Telling to be the New Innovation in 2015 - SmartCoders Blog

Big Data Prediction: Story Telling to be the New Innovation in 2015 - SmartCoders Blog | kinetics : data driven business | Scoop.it
Interpreting Big Data analytics in a story format will make it easy to comprehend information and glean actionable insights from it.

Via AnalyticsInnovations
Barry Magee's insight:

Narrative and Storytelling through use of Visualization is the key to unlock end-user adoption and engagement with any data-related endeavor.

http://businessofdata.tumblr.com/post/112541185372/so-id-planned-writing-this-post-about-something

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AnalyticsInnovations's curator insight, March 2, 2015 10:57 AM

Is it ok to sacrifice, some amount of time in improving accuracy (not in correct results) for creating the story telling slides...?

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Four Keys to Making Data Analysis a Competitive Advantage, and the Big Data “Ambiguity”

Four Keys to Making Data Analysis a Competitive Advantage, and the Big Data “Ambiguity” | kinetics : data driven business | Scoop.it
The use of data to drive decision-making is a well accepted practice, that has proved its effectiveness for years in business fields such as competitive intelligence. The only difference from previous uses of data-driven decisions is the size, diversity, and speed of the databases, which enhance the need for powerful computer systems and structures that few companies can afford. What most of us are doing falls in the scope of business intelligence, or analytics: a systematic way of extracting knowledge from data to drive decision making.With this in consideration, what would be a relevant scenario for successfully implementing a competitive strategy based on data analysis?
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The internal KM consultant, methods, analysis, case example

The internal KM consultant, methods, analysis, case example | kinetics : data driven business | Scoop.it
The internal KM consultant Step 1: problem identification (a step series toward excellent knowledge capability)
Via John Hovell
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Unstructured Data Offers Big Benefits - Information Management

Unstructured Data Offers Big Benefits - Information Management | kinetics : data driven business | Scoop.it
“Unstructured Data Offers Big Benefits Information Management "Unlocking information from this content is not a trivial task, and many organizations face roadblocks because of a lack of appropriate technology and processes," Dave Schubmehi, research...”
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When Big Data and Small Data Work Together

When Big Data and Small Data Work Together | kinetics : data driven business | Scoop.it

Ultimately, success via insight depends not on the size of the data set, but on the effectiveness of the analytics used to generate results.


Via Luca Naso
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Luca Naso's curator insight, March 4, 2014 4:48 AM

Insights come from Big Brains, not Big Data.


Big Data doesn't necessarily have to be terabytes or petabytes in size to be considered “Big.” Any amount of data that a marketer can't easily convert into actionable insights with internal data management resources can be considered “Big Data”, at least as far as the owner of the data is concerned.


Therefore, when it comes to developing insights, I would say that the size of the data is fairly irrelevant. Ultimately, success via insight depends not on the size of the data set, but on the effectiveness of the analytics used to generate results. 

 

Here are 4 key components for developing actionable insight:

1. Develop a data-centric approach to marketing;

2. Create an appropriate data management infrastructure;

3. Collect relevant data;

4. Use effective analysis tools.

Tomáš Kuzár's curator insight, March 4, 2014 8:11 AM

Big Data is not only about big amount of data, but is also about smaller about of data, which cannot be processes with traditional tools.

Rodrigo Nogueira de Carvalho's curator insight, March 31, 2014 8:38 AM

Como pequenas e medias empresas podem começar a melhorar suas análises de informação com poucos dados. 

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Lean Analytics in large business

Lean Analytics in large business | kinetics : data driven business | Scoop.it
It’s clear that Lean Startup is shifting from startups to the enterprise. There’s still a lot to ...

Via Brinkley Warren, Jeremy Hayes
Barry Magee's insight:

Good framework on how to consider applying a Lean methodoilogy to implementing your Anaytiucs/Big Data/Data Driven project in a large company....

1. It’s already happening.
2. JFDI.
3. Presentation matters.
4. The metrics are changing.
5. Don’t call it Lean Startup.
6. Getting all the data you need is hard.
7. Test new product ideas and turn them into features.

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Big Data Means Nothing If It Isn’t Smart

Big Data Means Nothing If It Isn’t Smart | kinetics : data driven business | Scoop.it
Big Data is worthless unless it is actionable. Worse yet, even if it is actionable, it is still worthless if it isn’t timely. What you need is Smart Data.

Via Yves Mulkers
Barry Magee's insight:

We've addressed this issue of timeliness within IBM Inside Sales analytics programme using seller ALERTS. Normally, a rep would have to log-in to our BI tool to seek out the 'data-driven' insight the desire.  We've instead created a process where an algorithm detects any new Client activity and creates a weekly ALERT which is sent via email to sellers INBOX.  Seller the goes to log-in to BI tool BAU and take appropriate action to follow up.  This CLOSED LOOP system means  you're no longer dependent on end-users pro-actively going in to your BAO system to seek out 'insight' - its brought right to their front door and they then follow up themselves.  There's as much to the PROCESS of delivering value through data - its not just about the data in isolation - CONTEXT is everything.

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Emeric Nectoux's curator insight, March 19, 2014 5:48 PM

As often, we did approach Big data through technology... A common behavior that is reproduced most of the time.


Now, after 2 years of noise, I feel that we start to get over the "Big Data" buzz and that people get more mature in their thinking about it. Then, the true questions starts to pop-up: Why using it? what is/are our goals? What (new / enhanced) usages do we foresee that could be supported by Big Data?


This article is pointing at some of these questions and start to answer to some others...

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Sentiment Analysis Innovation: Making Sense of the Internet of People | CustomerThink

Sentiment Analysis Innovation: Making Sense of the Internet of People | CustomerThink | kinetics : data driven business | Scoop.it

Sentiment analysis aims to make sense of the Internet of People. That’s what interests me, technologies that take on the thinking, feeling, social network of interconnected individuals. Built into business solutions and cognitive systems that “learn and interact naturally with people to extend what either humans or machine could do on their own” (IBM), these technologies enrich and enhance our personal and business interactions.

Barry Magee's insight:

After Marie Wallace..."People Analytics will result in some of more exciting innovations over the coming years, particularly as analytics becomes more pervasive in our lives. If we ever want to move into the cognitive era then technology is going to have to get much better at understanding the individual so that intelligent, personalized experiences can be created."

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Hans Rosling: A valuable lesson in the need to NOT generalise your assumptions | TED

Hans Rosling: A valuable lesson in the need to NOT generalise your assumptions | TED | kinetics : data driven business | Scoop.it
You've never seen data presented like this. With the drama and urgency of a sportscaster, statistics guru Hans Rosling debunks myths about the so-called "developing world."
Barry Magee's insight:

A valuable lesson in the need to NOT generalise your assumptions.  It is also a reminder that all of us bring our own ideological, 'vision'-based prejudices when interpreting any 'picture' of 'fact' that is presented to us.  The challenge in a data-driven  enterprise is to provide critical assessment of business issues in a way that limits the  potentially negative impact of such assumtpions.

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Barry Magee's curator insight, February 4, 2014 5:29 PM

A valuable lesson in the need to NOT generalise your assumptions.  It is also a reminder that all of us bring our own ideological, 'vision'-based prejudices when interpreting any 'picture' of 'fact' that is presented to us.  The challenge in a data-driven  enterprise is to provide critical assessment of business issues in a way that limits the  potentially negative impact of such assumtpions.

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The Role of Intuition in a World of Big Data

The Role of Intuition in a World of Big Data | kinetics : data driven business | Scoop.it
Running a business solely on "gut feel" is not sustainable, but neither is basing all decisions on the analytics.
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Evaluating RISK in business ventures

Evaluating RISK in business ventures | kinetics : data driven business | Scoop.it
Barry Magee's insight:

Although from a vendor advovcating their particular suite to address the issues, the broad point is valid and very much at the centre of data-driven decision maiking in businesses.  Well worth thinking about....

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The Science Behind Data Visualisation

The Science Behind Data Visualisation | kinetics : data driven business | Scoop.it

'Over the last couple of centuries, data visualisation has developed to the point where it is in everyday use across all walks of life. Many recognise it as an effective tool for both storytelling and analysis, overcoming most language and educational barriers. But why is this? How are abstract shapes and colours often able to communicate large amounts of data more effectively than a table of numbers or paragraphs of text?An understanding of human perception will not only answer this question, but will also provide clear guidance and tools for improving the design of your own visualisations.In order to understand how we are able to interpret data visualisations so effectively, we must start by examining the basics of how we perceive and process information, in particular visual information.'


Via Lauren Moss
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Ignasi Alcalde's curator insight, October 11, 2013 5:02 AM

De la memoria icónica a la memoria visual.

Paul P Roberts's curator insight, October 11, 2013 12:55 PM

Interesting article, how our brain see data, possible implication for how mobile research apps are designed

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Data-Driven Decisions: Rethink Your Approach

Data-Driven Decisions: Rethink Your Approach | kinetics : data driven business | Scoop.it
Business planning based on BI and predictive analytics is still uncharted territory for many executives, particularly those without IT backgrounds. What complicates this process is that CEOs often feel that analytics are too complicated to incorporate into their workflow, and sometimes find them constraining rather than offering a range of options. These misconceptions and ideas around BI leads to an ironic challenge: The data is there to reduce the fear in decision-making, yet the inability to utilize it and the lack of trust in it perpetuates “go with your gut” as a standard business practice. This needs to change to promote better business practices that will truly show an impact on any company’s bottom line.
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Even Big Data Can’t Overcome Small Minds in Customer Experience

Even Big Data Can’t Overcome Small Minds in Customer Experience | kinetics : data driven business | Scoop.it
Hear that? Those are the sounds of angels singing as the customer experience is saved by high tech’s latest buzzword – big data. Too bad that no amount of big data can overcome small minds. Presu...
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Small, not big data key to working out what consumers want - The Conversation AU

Small, not big data key to working out what consumers want - The Conversation AU | kinetics : data driven business | Scoop.it
“Small, not big data key to working out what consumers wantThe Conversation AUCorporations everywhere are hoovering up petabytes of data in a bid to understand and predict consumer preferences.”
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The Four Elements of Balancing Big Data, Intuition, Decisions, and Results

The Four Elements of Balancing Big Data, Intuition, Decisions, and Results | kinetics : data driven business | Scoop.it
“The Four Elements of Balancing Big Data, Intuition, Decisions, and Results Intelligenthq The four elements of balancing big data, intuition, decisions, and”
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Size doesn't matter: can SMEs conquer Big Data?

Size doesn't matter: can SMEs conquer Big Data? | kinetics : data driven business | Scoop.it
Big Data involves collecting a large volume of information. As SMEs don't have access to the same amount of data as larger corporations, does it mean SMEs can't make use of Big Data? Here is a case study with Ovolo Hotels.

Via Athanasios Triantafyllakis
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The real promise of big data: It's changing the whole way humans will solve problems

The real promise of big data: It's changing the whole way humans will solve problems | kinetics : data driven business | Scoop.it
“ Current “big data” and “API-ification” trends can trace their roots to a definition Kant first coined in the 18th century. In his Critique of Pure Reason, Kant drew a dichotomy between analytic and...”
Via Sathya Pandalai
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The benefits—and limits—of decision models | McKinsey & Company

The benefits—and limits—of decision models | McKinsey & Company | kinetics : data driven business | Scoop.it
“ Big data and models help overcome biases that cloud judgment, but many executive decisions also require bold action inspired by self-confidence. Here’s how to take charge in a clear-headed way. A McKinsey Quarterly article.”
Via Sathya Pandalai
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Book | Social Physics

Book | Social Physics | kinetics : data driven business | Scoop.it

 For good or ill, big data and networks have taken over our lives and, unfortunately, they too often run amok. From the Arab Spring, mediated on Twitter and Facebook, to the NSA spying scandal, to the 2008 financial crash, big data and networks are causing wrenching changes but very rarely can we piece together why, how, or what do to about the problem.  Alex “Sandy” Pentland and his team have created a new data science that not only describes how networks of people behave but also creates actionable intelligence from that understanding.  Called “Social Physics,” it encapsulates social, analytical, computer, and managerial sciences into a synthesis that allows us to build more resilient and creative societies while at the same time providing greater protection for personal privacy and resistance to cyber attack.

Barry Magee's insight:

Fascinating read on the start to bridge some of the behavioural 'understanding' issues that have been a bit elusive up to now.  I like the human and ants analogy Peter Gabriel alludes to on the topic. Behavioural Economics 2.0 even?

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We're All in the Data Business

We're All in the Data Business | kinetics : data driven business | Scoop.it
Imagine finding out that your headquarters is sitting on a diamond mine.
Barry Magee's insight:

We're  all in the Diamond Mining business  now folks.

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Making data analytics work: Three key challenges

By now, most industries recognize that "big data" and analytics can boost productivity, make processes more visible, and improve predictions of behavior. "An...
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White Papers on Performance Management

White Papers on Performance Management | kinetics : data driven business | Scoop.it

The Advanced Performance Institute (API) is the world's leading research and advisory organisation on organisational performance. The aim of the API is to provide today's performance-focused companies, governments and not-for-profit organisations with insights, advice and services that help deliver lasting change and superior performance.

Barry Magee's insight:

Leading thinking from Bernard Marr and the API institute here and would encourage you to download the white papers.  It advocates a fundamnetal re-think of how we run our businesses and prevent being bogged down in irrelevant and distracting organisational effort and focussing isntead on Key Performance Questions.  Might sound simple but VERY effective and easier said than done....

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