Big Data & Digital Marketing

A list of awesome visualisations!

Not only are they clear and beautiful, but also they keep you focused on the subject and succeed in conveying the story behind the data.

If you need to stimulate your creativity for your next dashboard or infographics have a close look at them!

Here is my list of top 5:

1. Are we alone?

Stimulate user’s imagination

http://www.bbc.com/future/story/20120821-how-many-alien-worlds-exist

5. Infographics with Real images

http://marion-luttenberger.squarespace.com/#/infographics/

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.

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?

For most businesses, the digital media as a platform of choice makes more business sense because:

1. digital media is cost effective.

2. digital media makes targeted messaging a lot easier. 

3. digital marketing gives companies more freedom to adjust its campaign.

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

There is a substantial spending on big data, with more than 75% of companies (from different industries) investing in big data in the next two years.

Each industry vertical has its own challenges and solutions. Here is a great article and infographics by simplilearn that describe for 10 verticals both main challenges and applications.

The 10 industries are:

1. Banking

2. Communication

3. Healthcare

4. Education

5. Manufacturing

6. Government

7. Insurance

8. Retail

9. Transportation

10. Energy

Data Lakes as the Big Data alternative to Data Warehouses.

Their main features are:

1. Contain ALL of the data, both structured and unstructured, internal and external;

2. Store all data in RAW format;

3. No SCHEMA is imposed on the data.

I like Data Lakes because they:

1. Are flexible

2. Break silos

This increases the success rate of Big Data projects.

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).

My first scoop of the year is an interactive tool to know more about Big Data. This is a web app that allows you to explore lots of resources such as articles, videos and infographics.

Here is a summary of the topics that you can find:

1. What is Big Data?
Volume: the Big Data explosion
Variety: structured and unstructured data
Velocity: fast, streaming, real-time data
Value: Big Data in action

2. Why is Big Data so important?
The challenges of Big Data
Opportunities for Big Data leaders

3. Who are your Big Data key players?
The data scientist or data analyst
The executive team
The line-of-business manager
The IT leader
The end-user, customer or supplier

4. How do you lead with Big Data?
Getting to Big Data
Identifying business goals for Big Data
Define data strategy
Deploy Big Data technologies
Build analytics models
Operationalize insights

5. Which Big Data solutions do you need?
Choose a Big Data partner
Manage data growth
Use Big Data analytics
Build Big Data applications
Big Data consulting and education
Big Data, cloud, and security
Success stories in Big Data

6. When do you start with Big Data?
Next steps checklist for Big Data
Big Data resources and information

Big Data can generate insights, that one needs to communicate.

Infographics are great to deliver a lot of information in a little space, but creating a good infographic requires way more time than what one might think ...

Here are some suggestions on how to get started.

Digital Signage is becoming vital for retail.
Data Analytics is vital to exploit any digital network.