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The Internet of Things is the 3rd wave of internet that is transforming the ways in which we live and work. Therefore, it has to involve the physical world.
Luca Naso's insight:
"Automation" is an important part of the equation. Internet of Things is not about moving the switches from the wall into the device (smartphone or tablet), but to remove them all!
We are at a stage where software has a concrete opportunity to reinvent the hardware.
Security is another important part of the equation. And it only happens if you include it in your design. This requires time, people, resource and money.
Even more, security and easy of use are on different part of the balance. There is a trade-off between "plug and play" and security, and it is not yet clear how to achieve the best balance. 
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Gartner, Inc. said that advanced analytics is the fastest-growing segment of the business intelligence (BI) and analytics software market and surpassed $1 billion in 2013.
Luca Naso's insight:
A picture is worth a thousand words. The reason I am sharing this article is exactly for the figure it contains.
Data can be analysed with 4 different targets: 1. Descriptive - knowing what happened 2. Diagnostic - knowing why it happened 3. Predictive - knowing whether/when it will happen again 4. Prescriptive - knowing what to do
Usually, organizations approach data science aiming at goals from 1 (at the beginning) to 4 (after developing experience).
There is, however, an implicit flaw the figure. It seems to suggest that human intervention goes from large to almost absent. In fact, it is just shifting from "after the analysis" to "prior the analysis".
The Human intervention now lies in the data science team that develop and deliver the advanced analytics project.
Fàtima Galan's curator insight,
June 12, 2015 3:45 AM
"creating value from data requires a range of talents, from data integration and preparation, to architecting specialized computing/database environments, to data mining and intelligent algorithms." 
Elías Manuel Sánchez Castañeda's curator insight,
June 13, 2015 10:19 AM
Many entrepreneurs "manage their business by hunches and / or occurrences (the flavor of the day)", without denying that the intuitive part is important can not only handle business in this way, it is necessary to analyze, identify evidence in the world Internet this has been facilitating increasingly so the company Gartner stressed that "Advanced analytics is a top business priority". We are in the field of Business Intelligence (BI), which means that companies (whether big or small) must develop the skills to achieve taking as input DATA + INFORMATION + DECISIONS + ACT equal RESULTS.
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Self-service analytics, business intelligence on Big Data, and the changing role of the IT buyer were the belles of the annual Gartner Business Intelligence and Analytics Summit.
Luca Naso's insight:
Today's buyers are increasingly coming from the business side of the house and not from corporate IT and self-service analytics is growing while traditional dashboard BI is in remission.
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Learn about the power of big data, and how businesses need to come up with ways to manage and make sense of all the information
Luca Naso's insight:
Lots of information about Big Data from New Jersey Institute of Technology.
The upper half of the infographics introduces Big Data with the usual buzz words. The remaining has a lot of interesting statistics. My 6 takeaways from the infographics: 1. $300 billion, what US could save in Healthcare 2. +60% in operating margin (retail) 3. 73% of companies have already increased revenues thanks to big data 4. 56% of IT decision makers believe that finding the right staff is the biggest challenge 5. "Query and reporting" is the Top 1 capability currently available 6. "Transactions" and "Log Data" are the most common source of data currently collected and analysed (88% and 73% respectively).
FLYONIT's curator insight,
May 30, 2015 1:44 AM
Big data and mobile platform, will do wonders for consumers!
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People have been using the four Vs (Volume, Velocity, Variety and Veracity) to describe big data, but all of the big data in the world is no good unless we can turn it into Value, the fifth V of big data.
Luca Naso's insight:
Sometimes it's good to go back to the basics: What is Big Data?
Gartner in 2011 gave the 3V definitions, today we have a better understanding ad we find more appropriate to add two more concepts.
1. Volume: how much data? 2. Velocity: how data grows or moves? 3. Variety: about the shape --- 4. Veracity: about the reliability 5. Value: about the ROI
The first 4 points describe what Big Data is, the fifth one reminds us that a Big Data project is relevant if it adds value.
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Credit Suisse estimates the entire wearable tech market to be worth $50bn by 2018.
Luca Naso's insight:
Wearable tech is the integration of digital tools in lifestyles to improve health, they carry not just data mining capability but also power lifestyles. Big data analytics, data science, and wearable computing is predicted to help better analyze patient data collected objectively with potential life-changing implications for drug development, diagnosis, and treatment. Cloud plays an integral role here: storing, computing and eventually beaming the relevant information from the smallest of devices. In fact, cloud can also aid in analysis of this data.
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One of the most well known examples of how Big Data can drive sales is that of Amazon. They have perfected the analysis of all their data in order to increase their sales. But also smaller companies as well as offline companies can use Big Data to drive their sales to the next level.
Luca Naso's insight:
1. Finding new markets and leads 2. Driving repeat sales 3. Reduced prospect research time 4. Predict future sales
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The Year of Wearables may as well be called the Year of Natural Selection.
Luca Naso's insight:
The wearable market is already worth $3 to $5 billion today. In the next two to three years it is expected to be a $30 to $50 billion market. The winners in the market will make products that users can’t live without, like today’s smartphones.
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A large number of businesses are recruiting data scientists in a bid to build up the right skills to support board-level big data initiatives.
Luca Naso's insight:
42% of UK companies are looking to recruit data scientists in big data analytics roles.
But 58% of the executives asked said they were struggling to find candidates with the right mix of skills.
Although technical experience remains of greatest importance, other essential attributes include 1. problem-solving skills (cited by 43%, rising to 55% in Germany), 2. analytical skills (42%) 3. and creativity (35%).
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Global research firm IDC issued a new infographic that estimates that SAP partners around the world will earn US$220 billion in revenue through 2017 with analytics and big data solutions.
Luca Naso's insight:
Top 5 verticals for Big Data and Analytics: 1. Discrete Manufacturing 2. Process Manufacturing 3. Government 4. Communications and Media 5. Banking
Top 5 drivers: 1. Cost control or reduction 2. Optimization of operations 3. Financial reporting and analysis 4. Risk management 5. Internal reporting and information sharing
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Facebook’s first quarter earnings for 2013 were released last week, along with the six key highlights of the quarter, three of them being about Big Data competencies.
Luca Naso's insight:
Facebook is one of the largest database in the world: more than 1 billion users sharing their life experiences, including what they are spending on now, and what they would like to spend on in the future. Facebook is now trying to make an intelligent use of its data. No surprises then that 3 out 6 key highlights of the first quarter are about Big Data! I hope, for Mark Zuckerberg and all shareholders, that they have built a good plan for their data analytics. I hope that they have considered not only integration and real time analysis, but also an intuitive and yet powerful user interface, to let marketers easily gain some/correct insights from the huge dataset.
Above all, my warmest advice would be "to keep it clear".
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If sustained, the global Big Data market would exceed $47 billion by 2017
Luca Naso's insight:
While global markets continue to experience degrees of stagnation and even decline, the worldwide enterprise software market continue to experience solid growth throughout 2012, according to the International Data Corporation (IDC).
More and more people are realising how important Big Data is to increase ROI and a range of services and products are now available on the market.
The report also stated that “Big data and analytics are also closely tied to the fast growth social business software markets"
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Like any market in its infancy, the big data industry is bustling with companies jockeying for a comfortable position in a niche that is as surefire as any.
Luca Naso's insight:
Here is a list of 7 "new" companies that might make the difference in the realm of Big Data.
1. Palantir Technologies Founded in 2004 and evaluated at $20B it is probably not a startup anymore 2. Crayon Data Big data for decision making 3. Neo Technology Best known for its graph db Neo4j 4. Couchbase The company behind the NoSQL db Couchbase server. 5. PromptCloud Specialised in Data-as-a-Service 6. Snowflake Big Data technologies for SMBs. 7. Saama Technologies Is this a startup? Founded 18 years ago, it has clients such as Apple and Cisco
iSparkCEO's curator insight,
August 4, 2015 2:30 PM
Here is a list of 7 "new" companies that might make the difference in the realm of Big Data.
1. Palantir Technologies Founded in 2004 and evaluated at $20B it is probably not a startup anymore 2. Crayon Data Big data for decision making 3. Neo Technology Best known for its graph db Neo4j 4. Couchbase The company behind the NoSQL db Couchbase server. 5. PromptCloud Specialised in Data-as-a-Service 6. Snowflake Big Data technologies for SMBs. 7. Saama Technologies Is this a startup? Founded 18 years ago, it has clients such as Apple and Cisco
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The Internet of Things continues to grow more popular, and the network of devices connected to it gets bigger every day. Gartner has estimated that there will be 26 billion devices connected to the IoT within the next six years.
Luca Naso's insight:
Up to now the Internet of Things has mainly focused on the data generation part (sensors and devices).
It is now time for the Analytics side to take over. Here is where Hadoop can make the difference.
However, my expectations are that IoT will boom with Real-Time analytics, and Hadoop can be of little use in this scenario.
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The big data and analytics market will reach $125 billion worldwide in 2015, according to IDC. Both IDC and The International Institute of Analytics (IIA) discussed their big data and analytics predictions for 2015 in separate webcasts yesterday.
Luca Naso's insight:
Gil Pres discusses 6 directions that the Big Data market could take in the near future.
Here are my top 3: 1. Security 2. Internet of Things 3. Image and video analytics
Fàtima Galan's curator insight,
April 21, 2015 12:07 PM
"Security: combining machine learning, text mining and ontology modeling IoT analytics: the “Analytics” of Things Buying and selling data Image, video, and audio analytics will become pervasive"
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According to Gartner, "Big Data Discovery" is the next big trend in analytics. It's the logical combination of three of the hottest trends of the last few years in analytics: Big Data, Data Discovery, and Data Science.
Luca Naso's insight:
Another way to look at this is: Since the market offers fewer data scientists than needed, new tools are being developed so that less experienced professionals can analyse data in a productive way. Will this "Data Discovery" be an evolution of self-service BI that we see emerging today? I think that Microsoft products such as Power BI, or Excel Power Query and Power Pivot, are worth mentioning in this context.
Elías Manuel Sánchez Castañeda's curator insight,
May 26, 2015 12:47 PM
In my case as consulting partner of a small business consulting I have no answer, but rather questions:
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These and other insights are from the jointly produced CapGemini and EMC study, Big & Fast Data: The Rise of Insight-Driven Business.
Luca Naso's insight:
This report is telling us that Big Data is truly a game changer.
1. Redesigning market shapes:
2. Boosting or damping companies: 65% agree that they risk becoming irrelevant and/or uncompetitive if they do not embrace big data.
3. Requires a faster pace: 45% view their current internal IT development cycles for new analytics to be too long and not matching their business requirements.
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Organizations that have actually implemented Big Data projects report "overwhelming satisfaction" with the results, according to a new survey from Accenture Analytics.
Luca Naso's insight:
"While a significant number of organizations may still be standing on the sidelines, Big Data users who start and complete projects see practical results and significant value," Accenture said. Bigger companies seem to get the biggest benefits because they have a better understanding of the scope, value and importance of Big Data. Not because they have more money. To benefit from Big Data, Accenture advised companies to: 1. Explore the entire Big Data ecosystem; 2. Start small then grow; 3. Be nimble; 4. Focus on building skills.
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I have also seen, from close quarters, how the digital analytics industry and the underlying technologies have changed; here are some of my observations
Luca Naso's insight:
Digital analytics has changed from being a tool for understanding the past, to a tool for optimizing the present, to a tool for predicting future outcomes.
Three main ways in which the digital analytics industry has changed in the last 10 years:
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Early adopters of Big Data are outperforming competitors. To catch up, other companies need the right people and tools—but they also need to embed Big Data in their organizations.
Luca Naso's insight:
1. Which Companies are spending the most on Big Data? 2. What do they get in Return? 3. How are they doing it?
Interestingly enough, IT is never leading a Big Data project.
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Welcome to BI.TV, your vendor agnostic fortnightly recap of global Business Intelligence and analytics news, views and reviews.
Luca Naso's insight:
Europe: WAKE UP!
Big Data is revolutionary, but this should not lead organizations to create dubious expeditions to uncover the revolutionary ways in which Big Data can be applied to their strategies.
Organizations should focus on how Big Data can be applied to their current business challenges.
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Twitter has acquired Lucky Sort, a data analytics company, in a move that could give the social network deeper insights into its users' tweets and how to best place advertisements on its site.
Luca Naso's insight:
Just like Facebook, Twitter is strongly heading for Big Data. Twitter acquires Lucky Sort hoping to "make huge document sets easier to analyse, summarise and visualise by building elegant and user friendly tools for text analysis." More or less the Holy Grail of Big Data Analytics.
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From
www
NEWS ANALYSIS: Business Intelligence is being transformed by the ability to use massive cloud computing services, big data analytics and huge external data sources.
Luca Naso's insight:
What I find interesting in this article is the idea that performing simple queries over extremly large data set can actually produce better result than using complex analyses over not-so-large data. "Creating simple queries over huge data sets can provide insights much more quickly and with more accuracy than trying to create sophisticated algorithms narrowed toward smaller samples." On the basis of this idea business intelligence is shifting from making better use of the data inside one's own company to using those vast pools of data outside the firm (big data if you will) to capitalize on customer sentiment, buying patterns and economic indicators.
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