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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Analytics and Big Data: A 5-Step Path to Value

Analytics and Big Data: A 5-Step Path to Value | Big Data & Digital Marketing | Scoop.it

 

How the Smartest Organizations Are Embedding Analytics to Transform Insight Into Action

Luca Naso's insight:

Top Performers consistently apply analytics in almost every activity across their organization. They prefer Analytics over Intuition 5 times more than Low Performers.


This Survey by MIT Sloan, in collaboration with IBM, draws a clear picture on how organizations can approach big data, what the major challenges are and how a successful analytics culture can be established.


Organizations are usually found in one of these 3 stages:

1. Aspirational: just started with analytics. The main target is to improve cost efficiency. Are not very rigorous.

2. Experienced: use analytics to guide actions, target at growing revenues, some use of rigorous approaches, applications are limited for future strategies.

3. Transformed: use analytics to prescribe actions, use analytics at all levels also in day-by-day activities, use rigorous approaches.

 

Sometimes organizations transition from state 1 to 2 to 3.

 

The Survey suggests a 5-step methodology for successfully implementing analytics-driven management:

1. Focus on the biggest and highest value opportunities

2. Within each opportunity, start with questions, not data

3. Embed insights to drive actions and deliver value

4. Keep existing capabilities while adding new ones

5. Use an information agenda to plan the future

ifeeleducation's curator insight, September 4, 2015 1:07 AM

ifeel.edu.in

Ellie Schwartz's curator insight, September 15, 2015 12:26 PM
Analytics and ROI. Developing actionable insight
Andra Mustaf's curator insight, October 21, 2015 4:26 AM

transform..

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4 Ways Big Data Can Drive Your Sales to the Next Level

4 Ways Big Data Can Drive Your Sales to the Next Level | Big Data & Digital Marketing | Scoop.it

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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Data Isn't Just for the Big Guys Anymore

Data Isn't Just for the Big Guys Anymore | Big Data & Digital Marketing | Scoop.it
The rise of cost-effective data analytics has given small businesses a way to compete with -- and even surpass -- their larger competitors.
Luca Naso's insight:

Customers expect a lot. They want the right product or service to fit their needs, they want it quickly, and want it to work well.


Data plays into satisfying all of those goals. At its core, data for the small business means streamlining processes and finding what is most relevant to customers.


Here are the main two guidelines:

1. Decisions should be informed by data;

2. Departments within the company need to measure everything. 

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How Data Analysis Impoved HSBC

How Data Analysis Impoved HSBC | Big Data & Digital Marketing | Scoop.it

Financial institutions use data analytics to improve their omni-channel marketing strategies, by focusing on what a financial institution can do with data analytics, not on what data analytics itself can do.

Luca Naso's insight:

Marketing has been called more of an art than a science. Yet in today’s financial services environment, the science of analytics is critical in making marketing a profit centre.

 

HSBC is one of the world’s largest banks and it uses data-driven decision making to optimize channel usage.

 

Combining the data from channel analytics with information about when to contact a customer and what to contact them about has helped the bank acquire new customers, enhance existing customer relationships and retain profitable customers over the long term.

 

The channel-centric model that most financial services companies continue to pursue today results in too much siloed information and an inability to develop true omni-channel strategies.

 

Data analysis should be used to develop a customer decision hub, which determines the minimum and maximum that you will spend to service a customer in each channel, the best moment in time to communicate with the customer and the best interaction with the customer at the best moment in time.

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3 Ways To Leverage Big Data

3 Ways To Leverage Big Data | Big Data & Digital Marketing | Scoop.it

Research and ideas shared at recent INSEAD alumni panel discussions shed light on the elements required to capture and effectively use big data.

Luca Naso's insight:
1. Data-driven business

The main benefit of “big data” is the ability to make better strategic decisions.

 

2. The right set of skills

The biggest reason why some organisations are not considering the use of big data is the lack of capabilities and skills.

it is particularly difficult to find people that understand both worlds – the technical and the business world – and that can also connect the dots between these two worlds.

 

3. Avoid Silos, foster integration

The competitive edge is held by those able to efficiently share and reuse data analytics internally. Too many companies still think in silos.

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