Video description
Over 90 Minutes of Video Instruction
Description
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 the Presenters
John Akred, CTO
With over 15 years in advanced analytical applications and architecture, John is dedicated to helping organizations become more data-driven. He combines deep expertise in analytics and data science with business acumen and dynamic engineering leadership.
Sanjay Mathur, CEO
Passionate about driving business forward with emerging technology, Sanjay has built his career on innovating with data and analytics. With broad experience in industry, Sanjay has had customer-facing roles leading global teams in product development, R&D, management consulting and sales.
Edd Wilder-James, VP Technology Strategy
Founder of the pioneering data conference, O’Reilly Strata, Edd is a respected voice in the worlds of data, open source and the web. Bringing together deep technical know-how with market understanding, Edd makes sense of information technology and its trajectory.
Skill Level
Beginner to Intermediate
What You Will Learn
- An integrated understanding of how new technology can enable business strategy, create new products, and drive revenue.
- A better appreciation for the advantages that open source technologies can offer.
- An understanding that new tools and platforms are not isolated, but rather, when used together, can be leveraged to create huge competitive advantages.
Who Should Take This Course
C-suite level decision-makers—particularly the CEO, COO, CIO, and CDO—as well as senior level VPs, and anyone else involved in making sure technology is used well to achieve desired business objectives and drive market outcomes.
About LiveLessons Video Training
LiveLessons Video Training series publishes hundreds of hands-on, expert-led video tutorials covering a wide selection of technology topics designed to teach you the skills you need to succeed. This professional and personal technology video series features world-leading author instructors published by your trusted technology brands: Addison-Wesley, Cisco Press, IBM Press, Pearson IT Certification, Prentice Hall, Sams, and Que. Topics include: IT Certification, Programming, Web Development, Mobile Development, Home and Office Technologies, Business and Management, and more. View all LiveLessons on InformIT at http://www.informit.com/livelessons.
Table of Contents
Lesson 1: Introduction
1.1 Data is Your Business
00:03:18
1.2 From the Web to the World
00:04:32
1.3 Components of the Experimental Enterprise
00:09:54
Lesson 2: Data Science
2.1 Running Experiments
00:00:50
2.2 Establishing Causality for Change
00:03:00
2.3 Defining Success for Data Science Projects
00:11:51
Lesson 3: Agile Development
3.1 Agile Data Science
00:01:05
3.2 All About Agile
00:04:31
3.3 Constructing an Agile Project
00:05:35
3.4 Managing Agile Projects
00:12:53
3.5 Agile Benefits for Business
00:04:04
Lesson 4: Platforms and APIs
4.1 Platform and API Oriented Approaches
00:01:17
4.2 Data Services for Innovation
00:03:21
4.3 Data Platforms for Creating Value
00:01:59
4.4 Building an Internal Platform Ecosystem
00:06:48
Lesson 5: Cloud
5.1 Agility and the Cloud
00:00:52
5.2 Scaling Characteristics Forge New Economies
00:03:06
5.3 Public or Private?
00:02:47
Lesson 6: DevOps
6.1 The Rise of DevOps
00:01:27
6.2 Testing
00:02:04
6.3 Benefits of DevOps for Business
00:02:42
Lesson 7: Open Source
7.1 Open Source in the Enterprise
00:02:10
7.2 Benefits of Open Source for Business
00:03:52
The Experimental Enterprise: Building a Data-Driven Business (SVDS Video Series): Summary
The Experimental Enterprise: Building a Data-Driven Business (SVDS Video Series): Summary
00:02:50