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The Sentient Enterprise The Evolution of Business Decision Making von Ratzesberger, Oliver (eBook)

  • Verlag: Wiley
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The Sentient Enterprise

Mohan and Oliver have been very fortunate to have intimate views into the data challenges that face the largest organizations and institutions across every possible industry-and what they have been hearing about for some time is how the business needs to use data and analytics to their advantage. They continually hear the same issues, such as:

  • We're spending valuable meeting time wondering why everyone's data doesn't match up.
  • We can't leverage our economies of scale while remaining agile with data.
  • We need self-serve apps that let the enterprise experiment with data and accelerate the development process.
  • We need to get on a more predictive curve to ensure long-term success.

To really address the data concerns of today's enterprise, they wanted to find a way to help enterprises achieve the success they seek. Not as a prescriptive process-but a methodology to become agile and leverage data and analytics to drive a competitive advantage.

You know, it's amazing what can happen when two people with very different perspectives get together to solve a big problem. This evolutionary guide resulted from the a-ha moment between these two influencers at the top of their fields-one, an academic researcher and consultant, and the other, a longtime analytics practitioner and chief product officer at Teradata. Together, they created a powerful framework every type of business can use to connect analytic power, business practices, and human dynamics in ways that can transform what is currently possible.



OLIVER RATZESBERGER is executive vice president and chief product officer of Teradata Corporation. Prior to Teradata, he spent seven years at eBay where he led their data warehouse and big data platform programs. He also has deep experience with open source startups. Ratzesberger joined Teradata in early 2013 as leader of the Teradata Research & Development software teams. As head of Teradata R&D, he now oversees a global organization including more than 1,900 technologists around the world.

MOHAN SAWHNEY is the McCormick Foundation Chair of Technology, Clinical Professor of Marketing and the Director, Center for Research in Technology & Innovation at the Kellogg School of Management at Northwestern University. Professor Sawhney is a globally recognized scholar, teacher, consultant and speaker in innovation, strategic marketing and new media. His research and teaching currently focuses on modern marketing, organic growth and business innovation. Professor Sawhney advises and speaks to Global 2000 firms and governments worldwide and has written six management books as well as dozens of influential articles in leading academic journals and managerial publications.

OLIVER RATZESBERGER is executive
vice president and chief product officer
of Teradata Corporation. Prior to Teradata,
he spent seven years at eBay where he led
their data warehouse and big data platform
programs. He also has deep experience
with open source startups. Ratzesberger
joined Teradata in early 2013 as leader
of the Teradata Research & Development
software teams. As head of Teradata R&D,
he now oversees a global organization
including more than 1,900 technologists
around the world.
MOHAN SAWHNEY is the McCormick
Foundation chair of technology, clinical
professor of marketing and the director,
Center for Research in Technology &
Innovation at the Kellogg School of
Management at Northwestern University.
Professor Sawhney is a globally recognized
scholar, teacher, consultant and speaker
in innovation, strategic marketing and new
media. His research and teaching currently
focuses on modern marketing, organic
growth and business innovation. Professor
Sawhney advises and speaks to Global
2000 firms and governments worldwide
and has written six management books
as well as dozens of influential articles in
leading academic journals and managerial
publications.

Produktinformationen

    Format: ePUB
    Kopierschutz: AdobeDRM
    Seitenzahl: 176
    Sprache: Englisch
    ISBN: 9781119438793
    Verlag: Wiley
    Größe: 824 kBytes
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The Sentient Enterprise

Introduction

This is a book about business technology and business culture. Specifically, it's about how the right combination of technology and culture can transform the use of data and analytics so that even the largest organizations achieve new found levels of agility, insight, and value from their information sources.

This book is also written for a very wide range of business professionals. By that we mean not just senior technology executives and data scientists, but also business users, anyone who might have "analyst" in the job title, and pretty much everyone whose role is impacted by how data is gathered, analyzed and applied in the organization.

Whether you're establishing the next-generation digital strategy, setting up data experiments to explore deep neural networks, or establishing controls for access to your corporate KPI dashboard, this book is for you. Our goal is to build bridges across job functions and departmental silos to solve common challenges that most business professionals will recognize-challenges such as:

"How can we stop multiple teams from pulling information into their own data silos and then spending all our meeting time wondering why everyone's data doesn't match up?"

-Data scientist at a major auto manufacturer

"Just because we're big doesn't automatically mean we're the best; what's the best way to leverage our economy of scale while remaining agile?"

-Chief data officer for a telecommunications giant

"Why is it that my kids at home have self-service apps on their phones to build their own games, but I have to go through IT and a long requirements process every time I want to experiment with data?"

-Product testing analyst at an electronics manufacturer

"Given that our clients rely on us to be there tomorrow with the innovations they need, how can we get on a more predictive curve so any success we have today isn't just on borrowed time?"

-Senior VP for a profitable global networking company

These are tough questions from the many business perspectives you'll find across any company that relies on data (and in today's information-driven economy, which means pretty much any company at all!). Furthermore, these questions are not hypotheticals. They happen to be actual challenges relayed to us by top executives-from Dell, Verizon, General Motors, Siemens, Wells Fargo, and nearly a dozen other organizations we interviewed for this book-about the challenges they and their colleagues face on a daily basis.

Fortunately, these companies came up with innovative and scalable analytic solutions to address these challenges. In the pages to come, we'll examine these success stories and combine them with our own research and emerging best practices in big data and advanced analytics. In doing so, we'll chart a journey through what amounts to a new model for analytic capability, maturity, and agility at scale-something we call the Sentient Enterprise.

At its core, the Sentient Enterprise will change the way everyone in business makes decisions-from small, tactical decisions to mission-critical strategic decisions. We'll chart the path that technology and all of us who leverage it are taking to become more productive. The journey is as complex as it is valuable, so we've organized the Sentient Enterprise into a capability maturity model with five distinct stages:

  1. The Agile Data Platform as the technology backbone for analytics capabilities and processes. Here is where outmoded data warehouse (DW) structures and methodologies are shifted to a balanced and decentralized framework, incorporating new technologies like cloud and are built for agility. Virtual data marts, sandboxes, data labs, and related tools are used in this stage to create the foundational technology platform for agility moving forward.
  2. A B

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