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Author: Kirk Krappe Publisher: ISBN: 9781614310624 Category : Business & Economics Languages : en Pages : 152
Book Description
Intelligent Quote-to-Cash identifies the most common sales and revenue process challenges companies face and how they can achieve: improved deal accuracy, faster time-to-market, simplified processes, higher sales effectiveness, bigger deal size, more opportunities discovered, higher win rates, and greater understanding how businesses can improve their margins.These insights are validated through the success story of Kirk Krappe s revolutionary software company, Apttus. Under Krappe s leadership, Apttus has become the defining Intelligent Quote-to-Cash solution provider, enabling companies of all sizes to create a new front office in the cloud. On average companies that have followed the principles outlined in Intelligent Quote-to-Cash have realized 105 percent larger deal sizes and 28 percent shorter sales cycles. Intelligent Quote-to-Cash is ideal for any reader involved in driving significant business outcomes within sales, marketing, legal, finance, IT, or management operations to drive revenue for their company and maximize customer experiences.
Author: Kirk Krappe Publisher: ISBN: 9781614310624 Category : Business & Economics Languages : en Pages : 152
Book Description
Intelligent Quote-to-Cash identifies the most common sales and revenue process challenges companies face and how they can achieve: improved deal accuracy, faster time-to-market, simplified processes, higher sales effectiveness, bigger deal size, more opportunities discovered, higher win rates, and greater understanding how businesses can improve their margins.These insights are validated through the success story of Kirk Krappe s revolutionary software company, Apttus. Under Krappe s leadership, Apttus has become the defining Intelligent Quote-to-Cash solution provider, enabling companies of all sizes to create a new front office in the cloud. On average companies that have followed the principles outlined in Intelligent Quote-to-Cash have realized 105 percent larger deal sizes and 28 percent shorter sales cycles. Intelligent Quote-to-Cash is ideal for any reader involved in driving significant business outcomes within sales, marketing, legal, finance, IT, or management operations to drive revenue for their company and maximize customer experiences.
Author: Deepak Gupta Publisher: John Wiley & Sons ISBN: 1394233221 Category : Computers Languages : en Pages : 340
Book Description
The book serves as an essential guide and a deep dive into the intersection of AI and finance, providing readers with a thorough understanding of the current state, challenges, and future possibilities of autonomous financial systems. In the rapidly evolving domain of autonomous finance, the convergence of computational intelligence techniques and financial technologies has paved the way for a new era of financial services. This transformation is driven by the integration of artificial intelligence (AI), machine learning (ML), blockchain, and big data analytics into financial systems, leading to the development of more responsive, efficient, and personalized financial products and services. Computational Intelligence for Autonomous Finance delves into the heart of this technological revolution, offering a comprehensive exploration of the theoretical foundations, practical applications, and future prospects of computational intelligence in the financial sector. The backbone of autonomous finance is a complex, interconnected ecosystem that leverages computational intelligence to automate decision-making processes, optimize financial operations, and enhance customer experiences. The book introduces the concept of an Intelligent Autonomous Financial Network (IAFN), which integrates various computational intelligence techniques with cutting-edge financial technologies to create a self-organizing, adaptive, and scalable financial system. The IAFN framework facilitates seamless interactions between diverse financial entities, enabling the provision of innovative financial services such as automated trading, real-time risk management, personalized financial planning, and fraud detection. The book meticulously analyzes the key challenges including data security and privacy concerns, algorithmic biases, regulatory compliance, and the need for interoperable standards. It also presents state-of-the-art solutions and best practices for overcoming these challenges, emphasizing the importance of ethical AI, robust data protection mechanisms, transparent algorithms, and collaborative regulatory frameworks. It discusses emerging trends such as quantum computing, edge computing, and decentralized finance (DeFi), highlighting their potential to further transform the financial landscape. The book also addresses the societal implications of autonomous finance, including its impact on employment, wealth distribution, and financial inclusion, advocating for a balanced approach that maximizes benefits while minimizing negative outcomes. Audience This book is aimed at researchers, industry professionals, policymakers, and graduate students in finance, computational intelligence, and related fields.
Author: Alan Simon Publisher: Morgan Kaufmann ISBN: 0128017457 Category : Computers Languages : en Pages : 99
Book Description
Nearly every large corporation and governmental agency is taking a fresh look at their current enterprise-scale business intelligence (BI) and data warehousing implementations at the dawn of the "Big Data Era"...and most see a critical need to revitalize their current capabilities. Whether they find the frustrating and business-impeding continuation of a long-standing "silos of data" problem, or an over-reliance on static production reports at the expense of predictive analytics and other true business intelligence capabilities, or a lack of progress in achieving the long-sought-after enterprise-wide "single version of the truth" – or all of the above – IT Directors, strategists, and architects find that they need to go back to the drawing board and produce a brand new BI/data warehousing roadmap to help move their enterprises from their current state to one where the promises of emerging technologies and a generation's worth of best practices can finally deliver high-impact, architecturally evolvable enterprise-scale business intelligence and data warehousing. Author Alan Simon, whose BI and data warehousing experience dates back to the late 1970s and who has personally delivered or led more than thirty enterprise-wide BI/data warehousing roadmap engagements since the mid-1990s, details a comprehensive step-by-step approach to building a best practices-driven, multi-year roadmap in the quest for architecturally evolvable BI and data warehousing at the enterprise scale. Simon addresses the triad of technology, work processes, and organizational/human factors considerations in a manner that blends the visionary and the pragmatic. - Takes a fresh look at true enterprise-scale BI/DW in the "Dawn of the Big Data Era" - Details a checklist-based approach to surveying one's current state and identifying which components are enterprise-ready and which ones are impeding the key objectives of enterprise-scale BI/DW - Provides an approach for how to analyze and test-bed emerging technologies and architectures and then figure out how to include the relevant ones in the roadmaps that will be developed - Presents a tried-and-true methodology for building a phased, incremental, and iterative enterprise BI/DW roadmap that is closely aligned with an organization's business imperatives, organizational culture, and other considerations
Author: Harvard Business Review Publisher: Harvard Business Press ISBN: 1422191427 Category : Business & Economics Languages : en Pages : 174
Book Description
Join forces with others inside and outside your organization to solve your toughest problems. If you read nothing else on collaborating effectively, read these 10 articles. We’ve combed through hundreds of articles in the Harvard Business Review archive and selected the most important ones to help you work more productively with people on your team, in other departments, and in other organizations. Leading experts such as Daniel Goleman, Herminia Ibarra, and Morten Hansen provide the insights and advice you need to: Forge strong relationships up, down, and across the organization Build a collaborative culture Bust silos Harness informal knowledge sharing Pick the right type of collaboration for your business Manage conflict wisely Know when not to collaborate
Author: William J. Bernstein Publisher: McGraw Hill Professional ISBN: 0071399577 Category : Business & Economics Languages : en Pages : 225
Book Description
Time-Tested Techniques - Safe, Simple, and Proven Effective - for Building Your Own Investment Portfolio. "As its title suggest, Bill Bernstein's fine book honors the sensible principles of Benjamin Graham in the Intelligent Investor Bernstein's concepts are sound, his writing crystal clear, and his exposition orderly. Any reader who takes the time and effort to understand his approach to the crucial subject of asset allocation will surely be rewarded with enhanced long-term returns." - John C. Bogle, Founder and former Chief Executive Officer, The Vanguard Group President, Bogle Financial Markets Research Center Author, common Sense on Mutual Funds. "Bernstein has become a guru to a peculiarly '90s group: well-educated, Internet-powered people intent on investing well - and with minimal 'help' from professional Wall Street." - Robert Barker, Columnist, BusinessWeek. "I go home and tell my wife sometimes, 'I wonder if [Bernstein] doesn't know more than me.' It's humbling." - John Rekenthaler, Research Chief, Morningstar Inc. William Bernstein is an unlikely financial hero. A practicing neurologist, he used his self-taught investment knowledge and research to build one of today's most respected investor's websites. Now, let his plain-spoken The Intelligent Asset Allocator show you how to use the time-honored techniques of asset allocation to build your own pathway to financial security - one that is easy-to-understand, easier-to-apply, and supported by 75 years of solid history and wealth-building results.
Author: Karen Berman Publisher: Harvard Business Press ISBN: 1422119130 Category : Business & Economics Languages : en Pages : 254
Book Description
As an HR manager, you're expected to use financial data to make decisions, allocate resources, and budget expenses. But if you're like many human resource practitioners, you may feel uncertain or uncomfortable incorporating financial numbers into your day-to-day work. In Financial Intelligence for HR Professionals, Karen Berman and Joe Knight tailor the groundbreaking work they introduced in their book Financial Intelligence: A Manager's Guide to Knowing What the Numbers Really Mean to present the essentials of finance specifically for HR experts. Drawing on their work training tens of thousands of managers and employees at leading organizations worldwide, Berman and Knight provide you with a deep understanding of the basics of financial management and measurement, along with hands-on activities to practice what you are reading. You'll discover: · Why the assumptions behind financial data matter · What your company's income statement, balance sheet, and cash flow statement really reveal · How to use ratios to assess your company's financial health · How to calculate return on investment · Ways to use financial information to support your business units and do your own job better · How to instill financial intelligence throughout your team Authoritative and accessible, this book empowers you to "talk numbers" confidently with your boss, colleagues, and direct reports--and with the finance department. About the Author Karen Berman and Joe Knight founded the Business Literacy Institute. They train managers at some of America's biggest and best-known companies. John Case has written or collaborated on several successful books. He has also written for Inc., Harvard Business Review, and other business publications.
Author: Kirk Krappe
Author: Kirk Krappe
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Author: Deepak Gupta
Author: Alan Simon
Author: Harvard Business Review
Author: Lars Reinkemeyer
Author: 
Author: William J. Bernstein
Author: American Iron and Steel Association
Author: Karen Berman