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Some say big data is all talk and no action. I couldn’t disagree more.
I believe that most aspects of business and society will be impacted by big data analytics, but saying big data is used for everything in not helping with the current confusion of how big data is adding value.
Luca Naso's insight:
1. Understanding, targeting, and serving customers 
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Data-driven marketing necessitates the collection, integration and analysis of huge amounts of data from both external and internal sources. And today’s companies are processing 1,000 times more data than they did just 10-years ago.
Luca Naso's insight:
As the saying goes, “It’s not what you have. It’s what you do with what you have that matters.” Here’s a look at why big data analytics are the key to data driven marketing. With Big Data analytics one has: 1. The power to process all data (and not only the 20% used so far) 2. Affordable analysis (cheap storage and operations) 3. Data desegregation (avoid silos) 4. Analysis in real-time
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This month as we examine the different ways that big data fits into marketing, we'd be remiss if we didn't talk about the ways big data can help improve the customer experience.
Luca Naso's insight:
It's unrealistic to expect that Big Data can improve all areas of customer service at the onset. It's critical to set priorities so that overtime, all touch points can be improved to meet specific criteria.
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We are in what Forrester Research calls “The Age of the Customer,” where customers, not companies, are driving business decisions.
Luca Naso's insight:
In the era where online businesses must truly understand their customers’ experience and behavior in order to succeed (or even survive), it is imperative that they can easily tap into Big Data sources and leverage that data to gain critical insight. Here is a list of 10 tips: 1. Treat Your Network Traffic as a ‘Gold Mine’… and Mine that Gold!
Fàtima Galan's curator insight,
August 1, 2013 11:17 AM
"where customers, not companies, are driving business decisions."
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With marketing becoming increasingly programmatic, it is important to leverage every possible metric that can provide insights into customer behavior.
Luca Naso's insight:
Another example of how Data Anlytics can help to burst conclusions based on common sense. It makes sense that buying more expensive products requires longer conversion lag. However the second plot in this example shows that this is not the case. Large conversion lags (e.g. 10 days) are seen for both low and high price orders (e.g. $40 and $400), and actually the price-orders range looks the same for both the short and the long time lag peaks.
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Luca Naso's insight:
Another great way in which Data Integration can help improving our life quality: help in telling legitimate reviews from fake ones.
A question rises, should intermediaries offer their data?
I believe that the final goal should always be providing a better service, or product, to customers.
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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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Harnessing and unleashing the potential of BIG DATA is the new knowledge pool for organizations to gain competitive edge.
Luca Naso's insight:
Leaders and thinkers in management are proactively involved in understanding and implementing big data capacities that suits their strategic and tactical need, as they realize that data driven strategies will be the platform for competing in future business environment.
Here’s a look at how the features of Big Data is transforming the outlook of business performance: 1. Data collection and transfer 2. Informed Decision- Making: 3. Segmentation 4. Risk absorption 5. Path to Innovation
Le Nguyen Thanh An's curator insight,
September 30, 2013 9:44 PM
A brief on Big Data and how we can amplify the historical data for future insight,
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A by-product of the Information Age is a myriad of unstructured data created by companies aptly termed by data managers as “big data.”
Luca Naso's insight:
If Big Data is a gold mine, one should try to identify the veins of gold and start extracting. Here are some suggestion about where these gold veins could be: 1. Social Media Data 2. Publicly Available Internet Data 3. Network Packet Data 4. Archived Documents
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From
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Surprisingly, the best price and best value is at the bottom of the customer's priority list. See what's at the top.
Luca Naso's insight:
Big Data can help vendors answering at least 4 out of 10 customers most wanted values:
1. Listen to your customers, 2. Understand customers needs, 3. Help customers avoiding pitfalls, 4. Connect with the customers.
How is your business addressing these issues?
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In this infographic, learn how Big Data can work to better align your sales and marketing teams and improve sales effectiveness, leading to revenue growth for your company.
Luca Naso's insight:
Don't let your salesmen in the dark, they will fail. Extract insights from your data and use them to shed light on your salesmen's path.
Selling more effectively means targeting the right accounts most likely to purchase at the right time with the right messaging. Ultimately, marketing needs to enable this without further blocking the sales cycle.
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This infographic details big data in the retail industry.
Luca Naso's insight:
Very nice Infographic, touching most of the relevant information about Big Data in Retail: main challenges, main goals, suggestion for a plan (although the initial part about Big Data size is a bit useles by now).
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Är du intresserad av Big data?
Du får en aktuell digtal presentation om Big data från DMA i Chicago om du anmäler dig på http://eepurl.com/H6n41 för att få de 10 viktigaste digitala insikterna varje vecka.