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From
hbr
Slick graphics can make useless information seem important.
Luca Naso's insight:
Dashboards are a powerful tool, but if not used properly they can harm you more than you think. Creating an effective Visualisation is the result of a lot of work and knowledge, both of the data and of the business. Here are 3 most dangerous mistakes:
1. The Importance trap (misjudging what's relevant) 2. The Context Trap 3. The Causality trap (especially true with Big Data) 
HunterSheppard's comment,
December 11, 2023 11:54 PM
good
Sven Erxleben's comment,
January 11, 11:42 PM
nice
magicmushroomsdispensary's comment,
March 20, 2:51 AM
good
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Luca Naso's insight:
Is data visualisation useful? Yes, because it can help us to: 1. Explore 2. Understand 3. Take action This piece provides an unbiased view on the subject and also mentions the role (and thus the limits) of data visualisation.
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From
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Data Science often points to the need for change - and change can be difficult. Get tips from TDWI for making your foray into data science a success.
Luca Naso's insight:
Most organizations have realized both the potentials and the difficulties of Big Data.
Here is a TDWI checklist report that can help to get organized before beginning a new project: 1. Identify key business drivers 2. Create an effective team 3. Emphasize communication skills 4. Embrace visualization and storytelling 5. Access all the data 6. Operationalize Analytics 7. Improve governance
The 3 elements that I particularly consider crucial are: A. Set clear goals B. Invest on the team, not on individuals C. Communicate and operationalize your project findings
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Best Big Data Graphics - As I read through many reports, white papers, press releases, magazine articles and company presentations it occurred to me that visually communicating the value of Big Data is challenging because of the need to convey different concepts simultaneously.
Luca Naso's insight:
A large number of Big Data charts try to represent the following progression: 1. What Happened? (descriptive analytics), 2. Why Did It Happen? (correlation analytics), 3. What Will Happen Next? (predictive analytics), and 4. What Should I Do About It? (prescriptive analytics).
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“Future infographics will be digital, data will stream in real-time and viewers’ interactions will determine what is presented. The revolution has just begun.” – The Economist"
Luca Naso's insight:
The next hot topic of this decade is data *visualisation*, which is useful not only for making insights more understandable, but also to make it easier to generate insights.
I believe that Data Visualisation itself is an analytic tool.
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Luca Naso's insight:
Big Data is everywhere and everyone is interested in Big Data. A key point in extracting meaning out of Big Data is visualisation.
Patrick Lewis's curator insight,
June 25, 2013 3:18 PM
When visual expression meets Big Data; a personal favourite #BIGDBN
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Carrefour improves its marketing with Galigeo and Esri implementation.
Luca Naso's insight:
After Walmart, also Carrefour aims at exploiting Big Data for improving their business.
The approach here is different, and more traditional in a sense. Keywords are: retail site selection, competition analysis, optimization of direct marketing activities, enhancement of store performance (through a better understanding of sales territories and customer needs). An interesting innovative part concerns the usage of Galigeo's Geodashboard which, by representing and displaying data on interactive maps, identifies hidden trends that are not discernible in tables, charts, or other traditional solutions.
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Hear from more than 20 industry experts and thought leaders about what’s coming to the world of BI in 2018.
Luca Naso's insight:
Here are 10 Top Trends for the world of Business Intelligence, including Big Data and Machine Learning. Here are my top 3: 1. Don't fear AI (it will create more jobs than the ones it will eliminate) 2. Rise of CDO (by 2020 80% of enterprises will have a Chief Data Officer) 3. Academics Investments (demand for data-science profiles keeps increasing) Interesting new trend: 4. Data Insurance (recall that GDPR's implementation date is may 2018) 1
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15 examples of data visualizations that will give you a clearer understanding of what makes a good visualization--and what makes a bad one.
Luca Naso's insight:
A list of awesome visualisations! Not only are they clear and beautiful, but also they keep you focused on the subject and succeed in conveying the story behind the data.
If you need to stimulate your creativity for your next dashboard or infographics have a close look at them!
Here is my list of top 5: 1. Are we alone? Stimulate user’s imagination http://www.bbc.com/future/story/20120821-how-many-alien-worlds-exist 2. Here is today Give perspective 3. You fix the budget Empower the users http://www.nytimes.com/interactive/2010/11/13/weekinreview/deficits-graphic.html 5. Infographics with Real images
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With so much to track, organise and analyse, it can be difficult to know where to begin.Today, leveraging big data is technically and financially viable for smaller companies in a way that it never has been before.
Luca Naso's insight:
Based on Big Data analysis, one has the ability to capture and uncover meaningful insights that can be translated into improved ROI on marketing activity. Here are a few lessons learned in the performance marketing world that small businesses can apply to their own efforts to exploit the potential of Big Data: 1. Use Active Tracking Links Where Possible 2. Get Granular 3. Analyse Holistically, aka avoid silos! 4. Analyse in Real-time 5. Visualise
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Big data from social media can give us insight into our relationships, our habits, and the things we care about.
Luca Naso's insight:
Here is an interesting report of a panel discussion on social media, big data and visualization held at the Vancouver Enterprise Forum. I'd like to draw your attention to the following 2 parts:
1. While recognizing a trend can help you make better decisions, understanding the cause behind that trend is even more valuable.
2. Visualizing social media data to empower individuals. When the exchange of information between social networks and their users is fair and transparent, individuals can view their own lives and social circles in an entirely new light.
Fàtima Galan's curator insight,
September 23, 2013 9:37 AM
Luca Naso insight: "understanding the cause behind that trend is even more valuable" 
Katy Volo's curator insight,
October 8, 2013 6:54 PM
This is how social intelligence is revolutionizing the Digital world. Very interesting article. 
Big Data Spain's comment,
October 21, 2013 6:51 AM
BIG DATA SPAIN 2013 is coming! <br>#BDSpain Conference in Madrid (Kinepolis 7 & 8 Nov) <br>Buy your ticket www.bigdataspain.org
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Marketers – like most people – like to see their accomplishments in some sort of visual representation. If marketing can see the digital dialogue, the opportunities are endless
Luca Naso's insight:
Visualisation is a crucial moment for Big Data Analysis.
Data Scientists and Analysts needs to use visualisation tool to EXPLORE data, non just to VISUALISE them.
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Data is more than hype. If you're a marketer, it's your lifeblood. If you're a writer, it's your best friend and worst enemy.
Luca Naso's insight:
I'm a scientist, and that's why I know that even numbers are subjective.
Numbers are beautiful, but they can be a mess. You need to have a clear picture in your mind of the message you want to convey, or the audience won't get your message.
Do not abuse with numbers and do not use them to make your piece stronger. The secret is in a linear plot and in few, but crucial, numbers.
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Luca Naso's insight:
I usually say that the power of Big Data lies in the meaning that one is able to extract from it.
Actually this is not the whole truth. Only one half of Big Data power lies in the extracted meaning, the other half lies in the way the meaning is conveyed.
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