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Published By: Harvard Business School     Published Date: Mar 05, 2015
Capital abundance, low interest rates, and high volatility are creating new challenges and opportunities in equity markets. To succeed in this crowded and complex global landscape, you must take your investment expertise to a new level. The Private Equity and Venture Capital program at Harvard Business School explores cutting-edge industry models and related issues—from venture capital, growth equity, and buyouts to industry infrastructure, portfolio strategies, and decision-making processes.
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private equity, venture capital, investment expertise, growth equity, buyouts, negotiation, organizational structure, portfolio management
    
Harvard Business School
Published By: Limeade     Published Date: Jun 29, 2015
It’s time to tear down the wall between engagement and wellness by addressing the whole employee — health, well-being and performance. Learn nine reasons why a single flexible engagement platform is the way to get there.
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employee engagement, wellness, engagement platform, engagement strategy, benefits ecosystem
    
Limeade
Published By: Harvard Business School Executive Education     Published Date: Mar 09, 2015
For decades, large companies have been wary of corporate venturing. So why are more and more smart companies going VC to find their next breakthroughs? With corporate R&D units under pressure to focus on a narrow range of projects, companies often lack a good way to sniff out competitive threats beyond their main areas of expertise. A corporate venture capital fund for investing in outside startups can help a company see, understand, and respond rapidly to changes in the business landscape. But the parent company’s processes tend to bog down these funds.
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private equity, venture capital, investment expertise, growth equity, buyouts, negotiation, organizational structure, portfolio management
    
Harvard Business School Executive Education
Published By: Harvard Business School Executive Education     Published Date: Mar 09, 2015
Capital abundance, low interest rates, and high volatility are creating new challenges and opportunities in equity markets. To succeed in this crowded and complex global landscape, you must take your investment expertise to a new level. The Private Equity and Venture Capital program at Harvard Business School explores cutting-edge industry models and related issues—from venture capital, growth equity, and buyouts to industry infrastructure, portfolio strategies, and decision-making processes.
Tags : 
private equity, venture capital, investment expertise, growth equity, buyouts, negotiation, organizational structure, portfolio management
    
Harvard Business School Executive Education
Published By: Mimecast     Published Date: Mar 13, 2017
The EU General Data Protection Regulation (GDPR) is arriving soon. You may think your organization is immune from its impact, but if you do business with any customers in the EU, think again. You’ll need to rethink and possibly re-do your organizational processes around compliance and oversight. It may seem like a daunting task. The Forrester Research Brief “You Need an Action Plan for the GDPR” helps your security, regulatory and privacy teams grasp five must-have changes necessary to comply with the GDPR.
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Mimecast
Published By: IBM     Published Date: Jan 30, 2017
Analytics has permeated, virtually, every department within an organization. It’s no longer a ‘nice to have’. It’s an organizational imperative. HR, specifically, collects a wealth of data; from recruiting applications, employee surveys, performance management data and it sits in systems that remain largely untapped. This data can help drive strategic decisions about your workforce. Analytic tools have, historically, been difficult to use and required heavy IT lifting in order to get the most out of them. What if an analytics system learned and continue to learn as it experienced new information, new scenarios, and new responses. This is referred to as Cognitive Computing and is key to providing an analytics system that is easy to use but extremely powerful.
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ibm, talent analytics, cognitive computing, analytics, engagement
    
IBM
Published By: Oracle     Published Date: Feb 22, 2019
AI-powered systems are increasingly joining humans in the workforce. The following perspectives from an industry executive and a scholar explore how these systems will change the enterprise and require new strategies for process and organizational design.
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Oracle
Published By: IBM     Published Date: Jul 02, 2018
Cloud has evolved from a technological innovation to an integral part of business. Companies in every industry are investing in Digital Transformation initiatives to evolve and grow; often, cloudbased platforms are foundational elements of these transformations, as businesses increasingly seek the flexibility and agility to roll out new software services in days or weeks, versus months or years. As Digital Transformation initiatives unfold, one key challenge is to modernize the data center to facilitate rapid delivery of new applications and services—while still ensuring that existing missioncritical applications remain high performing, available, and secure. Another challenge relates to new requirements for accelerating the analysis of organizational data to near real time, much faster than previously possible with earlier incarnations of Business Intelligence (BI). Agile businesses are demanding faster access to the information contained within operational and business data stores to
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IBM
Published By: IBM     Published Date: Jul 02, 2018
After several years of relentless hardware and software innovation, the mainframe is at an inflection point from being a supporting platform of transaction revenue to becoming a source of revenue growth and innovation. Organizations are evolving toward what IDC calls the “connected mainframe.” The platform is transforming from a revenue-supporting machine into a revenue-generating machine and is increasingly playing a central role in organizations’ digital transformation (DX) journey. Key steps in achieving the connected mainframe require organizations to modernize and integrate the platform with their internal and external environments. IDC finds that these modernization and integration initiatives lead to new business innovations, which in turn are driving revenue growth and improving organizational operational efficiency.
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IBM
Published By: IBM     Published Date: Jul 02, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does. From an IT perspective, there is a fairly straightforward sequence of applications that businesses can adopt over time that will help put direction into this journey. IDC outlines this sequence to e
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IBM
Published By: Group M_IBM Q418     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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Group M_IBM Q418
Published By: Group M_IBM Q119     Published Date: Dec 18, 2018
Digital transformation is not a buzzword. IT has moved from the back office to the front office in nearly every aspect of business operations, driven by what IDC calls the 3rd Platform of compute with mobile, social business, cloud, and big data analytics as the pillars. In this new environment, business leaders are facing the challenge of lifting their organization to new levels of competitive capability, that of digital transformation — leveraging digital technologies together with organizational, operational, and business model innovation to develop new growth strategies. One such challenge is helping the business efficiently reap value from big data and avoid being taken out by a competitor or disruptor that figures out new opportunities from big data analytics before the business does.
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Group M_IBM Q119
Published By: Group M_IBM Q119     Published Date: Jan 08, 2019
The discipline of data quality assurance ensures that data is "fit for purpose" in the context of existing business operations, analytics and emerging digital business scenarios. It covers much more than just technology. It includes program management, roles, organizational structures, use cases and processes (such as those for monitoring, reporting and remediating data quality issues). It is also linked to broader initiatives in the field of enterprise information management (EIM), including information governance and master data management (MDM)
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Group M_IBM Q119
Published By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
Society simply must change the way it serves its most vulnerable members. Service delivery models are outdated and constrained by budgets, organizational structures and legislation. Citizens aren’t getting what they need to become more self-sufficient and recover from hard times or significant events such as disasters. Government isn’t keeping up with the demand generated by the complex times we live in and agencies are stressed to the breaking point by current service expectations. Something different must be done to generate better outcomes. This action requires better engagement between government and citizens which can lead to more self-reliant individuals and lower demands and costs on government. In California, one county is tackling this challenge head on and has found a better way to serve their citizens.
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Group M_IBM Q3'19
Published By: Domino Data Lab     Published Date: May 23, 2019
This paper introduces the practice of Model Management, an organizational capability to develop and deliver models that create a competitive advantage. Today, the best-run companies run their business on models, and those that don’t face existential threat. The paper explains why companies that fail to run on models are falling for the Model Myth—the assumption that models can be managed like software or data. Models are different and need a new organizational capability: Model Management. What’s inside: Defining a model Why models matter for businesses Why companies fall for the Model Myth A framework for Model Management Practical steps to get started The paper is intended for anyone in a data science organization, or anyone who hopes to use data science as a key source of competitive advantage for their business.
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Domino Data Lab
Published By: IBM     Published Date: Jun 25, 2018
Vast resources of data are increasingly available, but the sheer volume can overwhelm human capability. By implementing the cognitive system of IBM Watson Discovery into their infrastructure, businesses can extract deeper and more accurate insights by efficiently identifying, collecting and curating structured and unstructured data. Watson Discovery, also capable of creating content collections and custom cognitive applications, can transform organizational processes to extend proprietary content and expert knowledge faster and at greater scales. Read more to learn how Watson Discovery can keep your organization evolving ahead of the competition. Click here to find out more about how embedding IBM technologies can accelerate your solutions’ time to market.
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IBM
Published By: Sitecore     Published Date: Aug 08, 2019
The Global Trends in Personalization Study is a collaboration between SoDA and Sitecore to assess investment plans, adoption of emerging technology, organizational priorities and key challenges relative to delivering personalized digital consumer experiences. Data was collected in January and February of 2019 from 351 marketing leaders and C-level executives across North American, Europe and APAC
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Sitecore
Published By: MessageLabs     Published Date: Oct 15, 2008
Failure to strategically manage email can be costly for any businesses. Learn about the risks of poor email management, and how to implement a comprehensive, best practices-based email retention policy.  Enforce your policy by implementing MessageLabs Managed Email Archiving Service to minimize email risks and maximize compliance with organizational, legal, and regulatory rules.  
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messagelabs, email retention, archiving, risk, compliance
    
MessageLabs
Published By: BMC ESM     Published Date: Aug 20, 2009
BMC Service Automation automates repetitive, manual tasks (such as provisioning, patching and compliance) to reduce the margin for error, allowing IT to get things done more quickly, and across organizational silos.  Software Consultant Ron Coleman provides a demonstration and discusses the key points of Service Automation from BMC Software.
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bmc, automation, service automation, silos, software, margin for error, error reduction, patching
    
BMC ESM
Published By: SAS     Published Date: Apr 21, 2015
High-performing organizations leverage the power of analytics by channeling their efforts in four areas: focus, adopt, adapt, and activate. These companies have embraced a new paradigm that promotes agility, fast execution, and lasting organizational change.
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SAS
Published By: Brainshark     Published Date: Nov 05, 2013
SiriusDecisions identifies five planning assumptions that must drive the agenda of sales enablement executives in the year ahead. From onboarding to demand creation to tackling mobile and social media, discover how to build integration between the marketing, sales, training and operations teams with the new sales enablement organizational model.
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sales enablement, sales training, sales productivity, sales effectiveness, sales revenue, sales costs, product marketing, content marketing
    
Brainshark
Published By: Knightsbridge     Published Date: Sep 09, 2014
There are three accepted ways to address team challenges. Identifying a common team goal, developing open communication, and clarifying roles and responsibilities are the most effective ways of addressing work team challenges.
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knightsbridge, teams, team effectiveness, virtual teams, business teams, work teams
    
Knightsbridge
Published By: Knightsbridge     Published Date: Sep 09, 2014
Organizational models today are shifting from hierarchical to flat. Careers are no longer an upward trajectory, but more likely to be a series of experiences, projects and development opportunities. But, a lack of awareness around the new flat organization dynamics is resulting in a perceived lack of opportunities for career movement within companies, and frustration among employees and leaders.
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knightsbridge, career management, career development, talent development, employee engagement, manager relationship
    
Knightsbridge
Published By: FICO     Published Date: Dec 04, 2017
Whether you’re onboarding new customers, cross- or up-selling, getting your supply chain or logistics right, or even collecting unpaid debt, making the best choice of decisions means weighing not just what’s right for your department – but what is best for the business overall. Not to mention what is optimal for your customers and partners. And let’s face it, even with the availability of business intelligence and other analytic tools, it’s hard to know what constitutes the right actions to take in an era where Big Data consistently throws you curveballs. Prescriptive Analytics can help – but for most organizations, there are more questions and concerns than answers about how to implement it successfully. Read our white paper on how Prescriptive Analytics can transform your business decisions and actions – leveraging your existing analytics investment and organizational DNA while helping you drive transparency, customer experience, and profits
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business, results, optimal, customer, experience, tools, analytics, big data
    
FICO
Published By: AWS     Published Date: Mar 22, 2018
Healthcare and Life Sciences organizations are adopting cloud-based workloads at a significant pace. A 2017 HIMSS study found that 65% of Healthcare organizations were using cloud-based services, and nearly 88% of those organizations were utilizing Software-as-a-Service (SaaS) solutions, which have become the preferred deployment method for many clinical application vendors. This eBook highlights advantages of using AWS to create and maintain cloudbased Next-Gen BI Solutions for Healthcare and Life Sciences organizations. This includes use cases from diverse organizations that have utilized AWS and APN Partners to manage and analyze data, and to discover insights otherwise obscured by the sheer volume of available information. Solutions from APN Partners can help your organization take the next step in building robust processes for making data-driven decisions that improve patient care, organizational processes, and innovative product development efforts.
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AWS
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