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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
By: IBM     Published Date: Aug 23, 2018
IBM Planning Analytics Local is the on-premises version of the planning solution built on the powerful, in-memory OLAP engine of IBM TM1. It automates your planning, budgeting and forecasting, and helps you link operational tactics with financial plans.
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     IBM
By: IBM     Published Date: Jul 16, 2018
IBM Planning Analytics, powered by IBM TM1, is the fast, flexible, planning solution that helps you align financial plans with corporate objectives linked to operational tactics and market events. In this quick, 10- minute guided demo, you’ll get hands-on experience with IBM Planning Analytics by building a revenue plan. You’ll play the role of a financial planner and learn how to: • Create a revenue plan in IBM Planning Analytics Workspace • Adjust the plan by increasing sales by 20% through an online channel • Review the impact of your changes on net profit
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     IBM
By: Group M_IBM Q418     Published Date: Sep 10, 2018
Far from being a soft issue, trust underpins the management of your digital business and digital ecosystems. This report highlights how trust is fundamental to your digital transformation. It focuses on the role of trust in the B2B context and analyzes the key technologies, processes, and operational values that CIOs and their teams must use to build and maintain trusted ecosystem partnerships.
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     Group M_IBM Q418
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
By: Group M_IBM Q418     Published Date: Dec 18, 2018
IBM LinuxONE™ is an enterprise Linux server engineered to deliver cloud services that are secure, fast and instantly scalable. The newest member of the family, IBM LinuxONE Emperor™ II, is designed for businesses where the following may be required: • protecting sensitive transactions and minimizing business risk • accelerating the movement of data, even with the largest databases • growing users and transactions instantly while maintaining operational excellence • accessing an open pla
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     Group M_IBM Q418
By: First Advantage     Published Date: Apr 17, 2018
In the face of compressed margins, what avenues exist for multi-family providers to build revenue? The answer is found in taking full advantage of the benefits of lower vacancies and high demand by maximizing operational efficiency–and background screening can help! Below we outline best practices for three main routes to building stronger revenues. 1. Squeezing value out of lower vacancies 2. Taking technology to the next level 3. Maximizing revenue while protecting against risk
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     First Advantage
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
By: Group M_IBM Q119     Published Date: Dec 18, 2018
IBM LinuxONE™ is an enterprise Linux server engineered to deliver cloud services that are secure, fast and instantly scalable. The newest member of the family, IBM LinuxONE Emperor™ II, is designed for businesses where the following may be required: • protecting sensitive transactions and minimizing business risk • accelerating the movement of data, even with the largest databases • growing users and transactions instantly while maintaining operational excellence • accessing an open platform that speeds innovation
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     Group M_IBM Q119
By: Group M_IBM Q119     Published Date: Feb 28, 2019
Companies of all sizes have a critical need to match supply and demand as efficiently as possible, in order to quickly capture maximum demand at the lowest possible cost. This tutorial will walk you through a demand forecasting and planning solution that can help you deliver more accurate demand forecasts, optimized operations to satisfy demand, and a complete operational and financial plan that the business can use in practice. In this tutorial, you will explore the following key capabilities: Improve decision-making in a single workspace with IBM Planning Analytics Deliver timely, reliable plans and forecasts with the addition of SPSS Modeler Create optimal demand plans with the addition of IBM ILOG CPLEX Optimization Studio
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     Group M_IBM Q119
By: Group M_IBM Q119     Published Date: Mar 04, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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     Group M_IBM Q119
By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
Power Systems are built for the most demanding, data-intensive, computing on earth. Our cloud-ready servers help you unleash insight from your data pipeline—from managing mission-critical data, to managing your operational data stores and data lakes, to delivering the best server for cognitive computing.
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     Group M_IBM Q2'19
By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IBM Cloud Private for Data is an integrated data science, data engineering and app building platform built on top of IBM Cloud Private (ICP). The latter is intended to a) provide all the benefits of cloud computing but inside your firewall and b) provide a stepping-stone, should you want one, to broader (public) cloud deployments. Further, ICP has a micro-services architecture, which has additional benefits, which we will discuss. Going beyond this, ICP for Data itself is intended to provide an environment that will make it easier to implement datadriven processes and operations and, more particularly, to support both the development of AI and machine learning capabilities, and their deployment. This last point is important because there can easily be a disconnect Executive summary between data scientists (who often work for business departments) and the people (usually IT) who need to operationalise the work of those data scientists
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     Group M_IBM Q2'19
By: Group M_IBM Q2'19     Published Date: Apr 02, 2019
There can be no doubt that the architecture for analytics has evolved over its 25-30 year history. Many recent innovations have had significant impacts on this architecture since the simple concept of a single repository of data called a data warehouse. First, the data warehouse appliance (DWA), along with the advent of the NoSQL revolution, selfservice analytics, and other trends, has had a dramatic impact on the traditional architecture. Second, the emergence of data science, realtime operational analytics, and self-service demands has certainly had a substantial effect on the analytical architecture.
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     Group M_IBM Q2'19
By: Group M_IBM Q2'19     Published Date: Apr 10, 2019
Today's energy, environment, and utility companies face an unfamiliar landscape in which they must integrate alternative energies, expand situational awareness across the system, and deepen their relationships with customers-all while continuing to deliver reliable, safe, and affordable electricity, gas and water to everyone.By combining predictive analytics with IoT, cloud and mobile technologies, utilities companies can Lower costs, improve operational efficiency and increase equipment reliability.
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     Group M_IBM Q2'19
By: Group M_IBM Q2'19     Published Date: May 03, 2019
"Managing and securing endpoints with conventional mobile device management (MDM) or enterprise mobile management (EMM) solutions is time-consuming and ineffective. For this reason, global IT leaders are turning towards unified endpoint management (UEM) solutions to consolidate their management of smartphones, tablets, laptops and IoT devices into a single management console. To increase operational efficiency, maximize data security and deliver on their digital transformation goals, they’ll need a UEM platform that does more than just promise success. The answer is a smarter solution, built for today, that brings new opportunities, threats, and efficiency improvements to the forefront. With Watson™, IBM® MaaS360® UEM features cognitive insights, contextual analytics, and cloud-sourced benchmarking capabilities. It helps you make sense of daily mobile details while managing your endpoints, users, apps, document, and data from one platform."
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     Group M_IBM Q2'19
By: Group M_IBM Q2'19     Published Date: May 21, 2019
The age of digital transformation is firmly here, and with it comes a seismic shift in how businesses must operate if they intend to stay relevant and profitable. Though the role of process in digital transformation is often over-hyped, in truth, it remains a critical element in the fight to win, serve, and retain customers. In this digital age, businesses must holistically reframe their investment in process automation. In short, a compelling vision for process excellence must underpin this digital transformation, thereby transforming customerfacing processes and digitizing operational processes. The change is so profound that Forrester has renamed the category from business process management (BPM) to digital process automation (DPA). This shift, while continuing to drive down costs and drive up employee productivity, makes customer experience and digital transformation the primary success factors. This represents a powerful and necessary change of focus. In July 2017, IBM commission
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     Group M_IBM Q2'19
By: Group M_IBM Q2'19     Published Date: May 28, 2019
However, big data and analytics solutions can have shortcomings. Proprietary and best-of-breed approaches can require valuable time and resources to build, integrate and maintain — while outsourcing data analytics can constrain reporting frequency and timeliness. In a world where operational efficiency and fast, reliable information is paramount, these limitations can put payers at a competitive disadvantage.
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     Group M_IBM Q2'19
By: Group M_IBM Q3'19     Published Date: Jun 24, 2019
The advantages blockchain can bring to the automotive ecosystem, both in facilitating collaboration among participants and enabling capabilities for new mobility business models, have gotten the attention of automotive executives. In addition to enabling a single source of data, blockchain can facilitate device-to-device transactions, smart contracts, and real-time processing and settlement. For the automotive industry, this translates into improvements and operational efficiencies in areas such as supply chain transparency, financial transactions between ecosystem participants, authenticating access to cars, and customer experience and loyalty.
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     Group M_IBM Q3'19
By: Visier     Published Date: Jan 25, 2019
Complementing your investment in Workday, Visier People takes you beyond Workday’s operational reports to strategic excellence. How? Through actionable and proven people analytics that are available today—not someday. Chosen time and again by Global 2000 organizations, Visier’s dedicated people analytics and workforce planning solution, with its all-inclusive subscription model, brings together data from all your transactional HR and business systems— including Workday—so you can: • Answer strategic workforce questions on demand, with credibility • Connect the dots between workforce decisions and business outcomes • Model and forecast your future workforce and its costs
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     Visier
By: CyrusOne     Published Date: Jul 05, 2016
Data centers help state and federal agencies reduce costs and improve operations. Every day, government agencies struggle to meet critical cost controls with lower operational expenses while fulfilling the Federal Data Center Consolidation Initiative’s (FDCCI) goal. All too often they are finding themselves constrained by their legacy in-house data centers and connectivity solutions that fail to deliver exceptional data center reliability and uptime.
Tags : data center, best practices, competitive advantage, productivity
     CyrusOne
By: ClickSoftware     Published Date: Mar 20, 2014
Learn how leveraging the cloud to optimize field workforce management improves the experiences of your customers while also lowering operational costs.
Tags : cloud, communication, customer services, process visibility, mobile workforce management
     ClickSoftware
By: TeamQuest     Published Date: Sep 04, 2014
You don’t have to be a superhero to be a CFO, but it would help. The rapidly changing pace and dynamics of today’s business environment is placing fresh pressures on all director-level executives, but none more than the CFO who now has virtually equal responsibility for then success of the company as the CEO but without quite the same glory.
Tags : risk management, corporate management, operational partnerships
     TeamQuest
By: Amazon Web Services     Published Date: Jan 23, 2018
SAP® customers who have long envied the many operational and cost benefts promised by cloud computing can now confdently pursue “cloud-frst” strategies. Companies that have made this move in collaboration with a leading company like Amazon Web Services (AWS) aren’t looking back. No longer bound by the constraints and overhead of legacy infrastructure, they’re pursuing new ways in which AWS-based SAP deployments can further their strategic goals and increase their competitiveness. Provided by: AWS & Intel
Tags : sap, customers, aws, cloud, organizations, applications
     Amazon Web Services
By: Cranfield University     Published Date: Jan 27, 2015
Learn how to achieve improvement and maximise your operational organisation's performance.
Tags : management programme, management course, operational performance management
     Cranfield University
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