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Over 90 Minutes of Video Training
Being data-driven is a hot phrase, but what does it mean in practice? As the tide of digitization rises, every industry sector is poised to be transformed: digital manufacture such as 3D printing has commoditized prototyping and product development; mobile apps have put every business in direct contact with their customers; and the Internet of Things promises the ability to manipulate processes and environment. The result of this digitization is an unprecedented flood of data.
The ability to make decisions based on this data, and to use it to experiment rapidly, has become an imperative for today’s companies who wish to play a part in tomorrow’s market. An “experimental enterprise” is a company whose infrastructure is designed to make experimentation possible and efficient. It is not about finding analytical fairy dust that you can sprinkle to make everything better, but rather a deep-rooted approach to operations, innovation, and competition.
Although digitization is unquestionably an issue for the entire company, it places a laser focus on the IT organization. In a digitized marketplace, IT must transform from being “faster paper” to one in which it underpins strategic advantage. This is not an incremental change, but a radical reassessment. Within IT, there are six critical building blocks that can be used to build an experimental enterprise: the cloud, devops, and open source; agile development and platforms; and data science. This video introduces each of these building blocks in turn, and explains how the audience can use them in their own organizations to adapt and thrive under challenging and rapidly changing market conditions.
About Silicon Valley Data Science
Silicon Valley Data Science is a boutique consulting firm specializing in business transformation through data science and engineering. We are a company of experienced software engineers, architects, data scientists, strategists, and designers with expertise in data-driven product development and experimentation. We work in holistic teams trained in strategic and agile approaches: whether you're using your data to understand your customers or build new go-to-market offerings, we help you align each project with your business objectives so that together we can create meaningful capabilities and capture value early and often.
Lesson 1: Introduction
1.1 Data is Your Business
1.2 From the Web to the World
1.3 Components of the Experimental Enterprise
Lesson 2: Data Science
2.1 Running Experiments
2.2 Establishing Causality for Change
2.3 Defining Success for Data Science Projects
Lesson 3: Agile Development
3.1 Agile Data Science
3.2 All About Agile
3.3 Constructing an Agile Project
3.4 Managing Agile Projects
3.5 Agile Benefits for Business
Lesson 4: Platforms and APIs
4.1 Platform and API Oriented Approaches
4.2 Data Services for Innovation
4.3 Data Platforms for Creating Value
4.4 Building an Internal Platform Ecosystem
Lesson 5: Cloud
5.1 Agility and the Cloud
5.2 Scaling Characteristics Forge New Economies
5.3 Public or Private?
Lesson 6: DevOps
6.1 The Rise of DevOps
6.3 Benefits of DevOps for Business
Lesson 7: Open Source
7.1 Open Source in the Enterprise
7.2 Benefits of Open Source for Business