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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Big Data Big Profits

Big Data Big Profits | Big Data & Digital Marketing | Scoop.it

78% of mobile activity is data, and not voice.

72% of CEOs report that marketers can rarely explain the incremental business that marketing spend can generate.


These data points validate the need for Big Data-based analytics to increase return on marketing investment, and ultimately making profits.

Luca Naso's insight:

Infographic produced by McKinsey & Co.

 

Facts:

1. Better marketing analytics can improve returns by 10-20%

2. Big Data leaders are 5% more productive and make 6% higher profit

 

Do you really need to know more before making your company a data-driven one?

Nathalie Prinet-Houairi's curator insight, November 27, 2013 9:35 AM

Pour de meilleures analyses des data conduisant à un meilleur ROI. Pour de plus petites campagnes, plus ciblées donc plus efficaces

Mc Kinsey

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Grow Revenue with Big Data | Lattice Engines

Grow Revenue with Big Data | Lattice Engines | Big Data & Digital Marketing | Scoop.it
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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IDC Marks Big Data Analytics for Explosive Growth

IDC Marks Big Data Analytics for Explosive Growth | Big Data & Digital Marketing | Scoop.it

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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