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Three Ways to Run Your Global Business With Startup Agility

My whole job is about helping big companies fully leverage big data analytics, and I’ve written specifically about a new Sentient Enterprise capability model.

Oliver Ratzesberger
Oliver Ratzesberger
11 août 2015 3 min de lecture

My whole job is about helping big companies fully leverage big data analytics, and I’ve written specifically about a new Sentient Enterprise capability model to help businesses scale their analytic architectures and insights as they continue to grow. In doing so, even large firms can preserve the agile and opportunity-driven playbook you’ll find at the heart of any successful startup.

Anyone looking to make this happen in a big organization, however, will immediately see the challenge: Agility is easy when global-business-start-up-agility.jpg you’re a startup with just a few employees and a vision. But what if you’re a large enterprise with many employees, legacy systems and a hardened culture that may be anything but agile? With so many things to both learn and unlearn, this kind of change management is not easily captured in an employee handbook or HR memorandum.

Your job is more like putting an entire culture shift into action at an established company, with fiefdoms to engage and IT policies to overcome. So how do we make it happen?

Here are three suggestions:

Ask the Right Questions

Making real progress starts with a candid assessment of where you are currently. Let’s be honest, these moments of recognition can be incredibly uncomfortable. When I finish talking about the Sentient Enterprise at a seminar or conference, I invariably have people approach me afterward who are literally in shock, saying things like “Oh my gosh, we are so behind the curve. Where do we start?” My answer is that, by realizing the challenge, you’ve already started; the next step is to ask straightforward and honest questions of your business.

Where are the silos and hurdles to agility? Do you have access to the right data, at the right time? What are the policies around copying data? Is our funding structured for innovation and adaptation to new opportunities? How do you recruit, train, manage and retain our data professionals? These are just a few questions you need to include in a “warts and all” checklist that is a crucial first step toward changing things for the better.

Think Big, Start Small, Scale Fast

I co-developed the Sentient Enterprise framework with Mohan Sawhney, director of the Center for Research in Technology & Innovation at Northwestern University’s Kellogg School of Management. He’s told me about similar reckonings with business audiences as they realize the immensity of the challenge; one panicked executive buttonholed him after a talk to say she felt like she was at sea level looking up at Mount Everest. Mohan reminded her that even Mount Everest is tackled incrementally, in phases. There are more than a dozen routes to the summit, in fact, with a base camp and four other major camps along the way.

Think big, start small, and scale fast to fully leverage #bigdata and #analytics

If these targeted, quick and value-driven strategic engagements inside the company resemble how a startup operates out in the real world, that’s exactly the point! In fact, I look at internal partners as “lighthouse customers” whose business problems make up what amounts to a venture portfolio within the company.

Focus on these pockets of agility and peg success to milestones. As for timelines, condense them in a “fail fast, recover fast” approach where you focus like a hawk on one or two things for 30 or 60 days and then adjust your approach based on a granular understanding of what worked and what didn’t. This is much better than trying to monitor a bunch of outcomes over the course of a year or more.

Try some of these tips and you’ll be surprised how quickly the partnerships and success stories add up. You’ll also be happy to see how this early momentum will inspire the rest of the company and drive additional wins throughout the organization.

What are your thoughts? What are some unique ways you are making your business more agile?

Embrace Your Own Internal “Startup” Role Within the Company

Mohan is absolutely right. We may have a tremendous, long-term challenge in front of us; but we have to take it in steps. Instead of trying to fix the whole company at once, pick a key area or two where some business problem happens to be a good candidate for a particular analytics solution you’re working on. Find partners who are close enough to the problem that they’re desperate for your solution and are willing to act as validators at staff meetings, budget sessions or anywhere else you need buy-in. The more you can limit the scope of these early “pockets of agility,” the more quickly you can scale success within them to demonstrate what works best.

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À propos de Oliver Ratzesberger

Mr. Ratzesberger has a proven track record in executive management, as well as 20+ years of experience in analytics, large data processing and software engineering.

Oliver’s journey started with Teradata as a customer, driving innovation on its scalable technology base. His vision of how the technology could be applied to solve complex business problems led to him joining the company. At Teradata, he has been the architect of the strategy and roadmap, aimed at transformation. Under Oliver’s leadership, the company has challenged itself to become a cloud enabled, subscription business with a new flagship product. Teradata’s integrated analytical platform is the fastest growing product in its history, achieving record adoption.

During Oliver’s tenure at Teradata he has held the roles of Chief Operating Officer and Chief Product Officer, overseeing various business units, including go-to-market, product, services and marketing. Prior to Teradata, Oliver worked for both Fortune 500 and early-stage companies, holding positions of increasing responsibility in technology and software development, including leading the expansion of analytics during the early days of eBay.

A pragmatic visionary, Oliver frequently speaks and writes about leveraging data and analytics to improve business outcomes. His book with co-author Professor Mohanbir Sawhney, “The Sentient Enterprise: The Evolution of Decision Making,” was published in 2017 and was named to the Wall Street Journal Best Seller List. Oliver’s vision of the Sentient Enterprise is recognized by customers, analysts and partners as a leading model for bringing agility and analytic power to enterprises operating in a digital world.

Oliver is a graduate of Harvard Business School’s Advanced Management Program and earned his engineering degree in Electronics and Telecommunications from HTL Steyr in Austria.

He lives in San Diego with his wife and two daughters.

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