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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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Are infographics the future of business intelligence?

Are infographics the future of business intelligence? | kinetics : data driven business | Scoop.it

Are infographics the future of business intelligence?Business intelligence adoption remains low in many companies - even if it's used at all. There are many reasons for this.


Via Yves Mulkers
Barry Magee's insight:

This was a game changer for a project I'm running in IBM.  The moment we were able to present data in a more visual way the users responded completely differently - even though the data itself was identical.  We in effect did some of the 'heavy lifting' in interpreting the data and refocused user 'call to action' away from interpretation and instead onto prioritization of what they were seeing and deciding what step to take next.

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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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How Statistical Science Can Advance Big Data Research Projects - insideBIGDATA

How Statistical Science Can Advance Big Data Research Projects - insideBIGDATA | kinetics : data driven business | Scoop.it
“How Statistical Science Can Advance Big Data Research Projects insideBIGDATA Science, society and our fields will all benefit,” says Edward Lazowska, the Bill and Melinda Gates Chair in Computer Science and Engineering at the University of...”
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Communicate More Creatively with Analytics [AUDIO]

Communicate More Creatively with Analytics [AUDIO] | kinetics : data driven business | Scoop.it
“we can be more creative because we add a rigor to our creativity that allows us to try riskier things. Here's how analytics helps.”
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Zvi on Twitter: "Moore's Law of Big Data: http://t.co/0hmLozzSZ1"

Zvi on Twitter: "Moore's Law of Big Data: http://t.co/0hmLozzSZ1" | kinetics : data driven business | Scoop.it
“RT @nivertech: Moore's Law of Big Data: http://t.co/0hmLozzSZ1”;
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Mining Massive Datasets

Mining Massive Datasets | kinetics : data driven business | Scoop.it
“ Mining Massive Datasets is a free online class taught by Jure Leskovec, Anand Rajaraman and Jeff Ullman of Stanford University”
Via Athanasios Triantafyllakis
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Athanasios Triantafyllakis's curator insight, September 17, 12:13 PM

Now that's an interesting course!!!

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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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Big Data - Is it for Small Business ?

Big Data - Is it for Small Business ? | kinetics : data driven business | Scoop.it
The "data dividend" could be worth $1.6 trillion (£950bn; 1.2tn euros) to big business over the next four years.But what about the "Small or Mid size Business? Big data - and all the useful insights (Big Data - Is it for Small Business?
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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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Rescooped by Barry Magee from Strategy and Competitive Intelligence by Bonnie Hohhof
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Big Data Analytics Trends for 2014

Big Data Analytics Trends for 2014 | kinetics : data driven business | Scoop.it

With 2014 now being underway, more organisations are releasing their predictions for the next year. The same goes for Aureus, who created an infographic about the top trends for big data analytics, which are likely to have a significant influence in the coming years. Ranging from Analytics on demand, which we before dubbed On-the-go Big Data, to a the prediction that big data will also become available for smaller organisations. Although 2013 was a big year for big data, it can be expected that 2014 will be even more interesting as big data will gain more traction in many organisations..


Via Bonnie Hohhof
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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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10 actual uses of big data

10 actual uses of big data | kinetics : data driven business | Scoop.it
First off, what is it?... Datasets are multiplying as we measure lots more than we used to. This means our thinking has to broaden – no longer is ‘what can we do with our database of email addresses?’ the question, rather ‘what data can we look at to give us the best idea possible of a customer’s stage in the buying cycle and what they’ll be receptive to next?’The definition of big data isn’t really important and one can get hung up on it. Much better to look at ‘new’ uses of data.So, here’s some examples of new and possibly ‘big’ data use both online and off....
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IBM CEO Ginni Rometty: ‘Data will be the natural resource of the 21st century’

IBM CEO Ginni Rometty: ‘Data will be the natural resource of the 21st century’ | kinetics : data driven business | Scoop.it
IBM plans to bring the power of its Watson big-data engine and supercomputer to mobile devices. Last night at the Mobile World Congress in Barcelona, IBM CEO Ginni Rometty unveiled the IBM Watson Mobile Developer Challenge.

Via Jeremy Hayes
Barry Magee's insight:

Couldn't agree more and nothing to do with the fact that Ginni's the Boss -)  The insight we are now able to derive from not only data itself but the ways in which we can re-purpose it is a fundamental change in how we make decisions, deploy resources and prioritise societal goals.  The principle of Secondary and beyond uses of data is a game changer.

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IBM Watson Analytics Offers Powerful Analytics for Everyone - YouTube

IBM Watson Analytics Offers Powerful Analytics for Everyone - YouTube | kinetics : data driven business | Scoop.it
www.watsonanalytics.com IBM Watson Analytics puts analytics in the hands of every business user. Get instant access to powerful predictive and visual analyti...
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How IBM's Watson Could Do For Analytics What Search Did for Google - Datamation

“Top Tech News How IBM's Watson Could Do For Analytics What Search Did for Google Datamation IBM announced a new initiative this week to use a freemium model to move Watson, their English language AI interface for analytics, into the market more...”
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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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Big data study finds most productive people work in sprints: 52 minutes, rest ... - VentureBeat

Big data study finds most productive people work in sprints: 52 minutes, rest ... - VentureBeat | kinetics : data driven business | Scoop.it
“VentureBeatBig data study finds most productive people work in sprints: 52 minutes, rest ...”
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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, Paul Hobcraft
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12 Reasons Your Business Needs to Get Visual

12 Reasons Your Business Needs to Get Visual | kinetics : data driven business | Scoop.it
“ The shift to the visual is evident everywhere we look, in all media — the infographic below explains why. A good, strong visual married to a good concept — with the right strategy and the right w…”
Via David Ednie, Paul Hobcraft
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David Ednie's curator insight, July 12, 3:46 PM

90% of information transmitted to the brain is visual. Are you communication visually to ensure that your message reaches your audience's brain?

malek's curator insight, July 13, 8:07 AM

#1 The online world revolves around visuals. Period

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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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Business Intelligence Tools Ranked by Features & Functions

Business Intelligence Tools Ranked by Features & Functions | kinetics : data driven business | Scoop.it

Business Intelligence Tools Ranked by Features & Functions in 2014 BI Gleansight Customer Think The 2014 Business Intelligence Report from Gleanster Research showcases business intelligence tools ranked by four criteria: ease of use, ease of...


Via Yves Mulkers
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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, 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.

Admin's curator insight, March 4, 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, 8:38 AM

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

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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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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, 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...