Big Data & Digital Marketing
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Big Data & Digital Marketing
Data analytics as the key to know your customers and offer them what they really want.
Curated by Luca Naso
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More Than 75 Percent of Companies Are Investing in Big Data in the Next Two Years

More Than 75 Percent of Companies Are Investing in Big Data in the Next Two Years | Big Data & Digital Marketing | Scoop.it

This year begins the shift of big data away from a topic unto itself, and toward standard practices

Luca Naso's insight:

My 3 takeaways from 2015 Gartner's research on Big Data:

1. Big Data solutions and technologies are becoming mainstream;

2. Big Data is mainly used for enhancing customer experience;

3. Business Leaders are as active as CIO/CTO in launching Big Data projects.

 

Organisations are overwhelmingly targeting enhanced customer experience as the primary goal of big data projects (64 percent). Process efficiency and more-targeted marketing are now tied at 47 percent. As data breaches continue to make headlines, enhanced security capabilities saw the largest increase, from 15 percent to 23 percent.

 

Last year, 37 percent of big data projects were initiated by the CIO, while 25 percent were initiated by business unit heads. In 2015, the roles are nearly tied, at 32 percent and 31 percent, respectively.

Adele Taylor's curator insight, July 17, 2016 6:29 PM
What do people think of big data?  Is it a good investment?
Gerald Sifringer's curator insight, July 21, 2016 7:10 AM
This is so true 
Neolusis's curator insight, December 6, 2016 4:47 AM

More Than 75 Percent of Companies Are Investing in Big Data in the Next Two Years via @NasoLuca

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Business intelligence and analytics trend towards self-service at the Gartner Summit

Business intelligence and analytics trend towards self-service at the Gartner Summit | Big Data & Digital Marketing | Scoop.it
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.
Self-service analytic tools allow power users to quickly explore, blend and visualize data to produce new business insights and to validate business data requirements to support application development and data management. 
Is the pendulum swinging in the direction of analytics empowerment and reduced time-to-answer and away from cost control and data quality management?
Gartner thought leader, Frank Buytendijk, suggested that we look to the business model that cracked the code on optimizing the centralization versus decentralization trade-off; namely, franchising.
This implies standardization of tools and enterprise licensing to drive down costs, tool-specific skilling to create larger pools of skilled workers to be shared across projects and centralized provisioning of compute infrastructure to save time and money.

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Gartner Says Advanced Analytics Is a Top Business Priority

Gartner Says Advanced Analytics Is a Top Business Priority | Big Data & Digital Marketing | Scoop.it

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.

Robert McKenzie's curator insight, June 21, 2015 3:50 AM

Sounds simple ..just add data and insight