Don’t Confuse Digital With Digitization
There is no question that artificial intelligence (AI) is presenting huge opportunities for companies to automate business processes. However, as you prepare to insert machine learning applications into your business processes, I’d recommend that you not fantasize about how a computer that can win at Go or poker can surely help you win in the marketplace. A better reference point will be your experience implementing your enterprise resource planning (ERP) or another enterprise system. Yes, effective ERP implementations enhanced the competitiveness of many companies, but a greater number of companies found the experience more of a nightmare. The promised opportunity never came to fruition. Why am I raining on the AI parade? Because, as with enterprise systems, AI inserted into businesses drives value by improving processes through automation. But eventually, the outputs of most automated processes require people to do something. As most managers have learned the hard way, computers can process data just fine, but that processing isn’t worth much if people are feeding them bad data in the first place or don’t know what to do with information or analysis once it’s provided.
Seventy percent of all IT projects fail – and scores of books have attempted to help firms measure and manage IT systems and processes better in order to turn this figure around. In this book, IT experts Peter D. Weill and Jeanne W. Ross argue that the real reason IT fails to deliver value is that companies have no formal system in place for guiding and monitoring IT decisions. Their research shows that firms with explicit IT governance systems have twice the profit of firms with poor governance, given the same strategic objectives. Just as corporate governance systems aim to ensure quality decisions about corporate assets, the authors show, companies need IT governance systems to ensure that IT investments are made wisely and effectively.
Enterprise architecture defines a firmâ€™s needs for standardized tasks, job roles, systems, infrastructure, and data in core business processes. Thus, it helps a company to articulate how it will compete in a digital economy and it guides managersâ€™ daily decisions to realize their vision of success. This book clearly explains enterprise architectureâ€™s vital role in enabling – or constraining – the execution of business strategy. The book provides clear frameworks, thoughtful case examples, and a proven-effective structured process for designing and implementing effective enterprise architectures.
Digitization of business interactions and processes is advancing full bore. But in many organizations, returns from IT investments are flatlining, even as technology spending has skyrocketed. These challenges call for new levels of IT savvy: the ability of all managers-IT or non-IT-to transform their company’s technology assets into operational efficiencies that boost margins. Companies with IT-savvy managers are 20 percent more profitable than their competitors. In IT Savvy, Peter Weill and Jeanne Ross-two of the world’s foremost authorities on using IT in business-explain how non-IT executives can acquire this savvy. Concise and practical, the book describes the practices, competencies, and leadership skills non-IT managers need to succeed in the digital economy. You’ll discover how to: -Define your firm’s operating model-how IT can help you do business -Revamp your IT funding model to support your operating model -Build a digitized platform of business processes, IT systems, and data to execute on the model -Determine IT decision rights -Extract more business value from your IT assets Packed with examples and based on research into eighteen hundred organizations in more than sixty countries, IT Savvy is required reading for non-IT managers seeking to push their company’s performance to new heights.