Developing and implementing a Big Data Strategy

Course Overview:

Developing and implementing a Big Data strategy is vital if you want to stay in business in the coming years. Big Data offers so many benefits to organizations and research indicates that companies leveraging Big Data financially outperform their peers by 20% or more. So, if you do not want to be left behind, you should focus on Big Data now.

But what is Big Data? How should you develop a Big Data Strategy? What can Big Data do for your organization and how should you deal with the privacy aspect of Big Data? Important questions to ask that can be difficult to answer without sufficient knowledge on Big Data.

This unique Big Data Strategy training focuses on Big Data from a business perspective and will provide you with all the knowledge and valuable insights to develop a successful and winning Big Data strategy. This is the only training available that focuses on Big Data from a strategic point of view.

Target Audience:

The Big Data Strategy Training is tailored towards decision-makers, marketers, operations managers, supply-chain managers, HR managers, sales representatives, IT personnel and/or financial controllers who want to learn more about Big Data and what it can do for their organization

Three use cases of target audiences:

1. Senior VP of Marketing large American retail chain

The Big Data training helped me understand how to make use of different customer data sources in order to offer the right product at the right moment to the right customer via the right channel. Developing a Big Data strategy is not easy, but this training enabled me to prepare the board for our Big Data strategy.

2. Operations Manager at a Regional European Manufacturer Company

We have been thinking about making a move to become a smart factory, but we did not have a common understanding of what Big Data meant and what it could do for our organization. Since we took this training, we now understand the different important aspects to take into account when starting with Big Data. We expect our smart factory to be operational shortly.

3. IT Employee for a Local Australian Telecom Company

My manager asked me to take this training in order to better understand the business aspects of Big Data. Of course I have heard about Big Data, but I am not a Big Data scientist. This training helped me better understand how we should approach Big Data. In addition, I now know that I want to take more technical courses to actually become a Big Data Scientist

Learning Objectives:

By the end of the course, you understand what big data is and how it affects your organization.

You will learn how to develop a big data strategy

You will learn about 8 important trends that affect any big data strategy.

Big Data brings great responsibility. You will learn how to ensure the privacy of your customers and what the four ethical guidelines are.

Big data requires new technologies, in this course you will learn about the most important ones and how they affect your company.

Big data will only become bigger and those brontobytes will become common language in the boardroom. You will understand where big data is heading to and how that affects your organization.

Benefits of Taking this Course:

The course will offer you insights in how your organization can benefit from Big Data. It presents a vast array of examples of how different organizations from around the world in different industries have applied Big Data within their organizations. This will teach you how to think out-of-the-box and innovate your organization with Big Data. In addition it offers you guidance on how to ensure that your customer does not become the victim, and with that your organization, of a bad Big Data strategy.

Prerequisites:

None

Course Materials:

Students will receive a course manual with presentation slides and reference materials.

Examination:

Exam Format: closed-book format. Participants may bring nothing

Questions: 27 multiple choice questions

Passing Score: 70%

Exam Duration: 30 minutes. 15 minutes extra time for non-native English speakers

Proctoring: None

Note: This is not a certifying examination, but a self-assessment

Technical Requirements:

For eBooks:

Internet for downloading the eBook

Laptop, tablet, Smartphone, eReader (No Kindle)

Adobe DRM supported software (e.g. Digital Editions, Bluefire Reader)

eBook download and activation instructions

Agenda:

1. Big Data History

Explanation of the vast moving times we are living in and how that affects organizations

Group exercise to understand one's data requirements / dreams

2. 7 V's of a Big Data Strategy

Explanation of the 7 V's of Big Data and how that affects your Big Data Strategy.

Volume, Variety, Velocity, Veracity, Variability, Visualization and Value

3. Important Big Data Trends

The Mobile Revolution, requiring a different Big Data approach

The Internet of Things

The Industrial Internet

The Quantified Self

Big Social Data

Open / Public Data

4. Big Data Techniques

Market overview

Hadoop and MapReduce

Various ways of analysing your data

Data mining

Machine learning

Descriptive, predictive and prescriptive analytics

Semantics

5. Privacy & Ethics

Big Data ownership

4 ethical guidelines

Big Data security

6. Big Data Roadmap

Key characteristics data-driven company

Big Data ROI

Big Data on the Balance sheet

Big Data Governance

Developing a Big Data strategy

Big Data use case framework - 9 generic Big Data use cases

7. Big Data within your organization

Big Data and Marketing / PR

Big Data and Human Resources

Best Practices of Big Data