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Published By: Google     Published Date: Oct 26, 2018
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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Google
Published By: Oracle Analytics     Published Date: Oct 06, 2017
Business decision making is undergoing a data-infused renaissance. Organizations are tired of the limitations of spreadsheets and dealing with long IT business intelligence (BI) development cycles just to gain access to the data they need now. Fortunately, with the advent of visual analytics and discovery tools (many offered in the cloud), the journey to data insight is getting simpler and faster. Rather than trying to divine meaning from a group of predefined reports or simple static dashboards, visual analytics helps users gain insights from data more quickly using intuitive data visualization. Increasingly, visual analytics tools provide easy-touse data preparation features for better data access. They support collaboration, mashups, and storytelling. TDWI Research sees growing interest in applying more modern, up-to-date tools for working with data.
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Oracle Analytics
Published By: Oracle Analytics     Published Date: Oct 06, 2017
Empowered with mobile and cloud-based access to a myriad of products and services, customers now have a variety of options at their fingertips with regards to partnerships. Enterprises that do not follow the ever-changing tastes and preferences of their customers, or that wait too long to react, will fall behind and fail. Across functions, business professionals readily require big data tools and insights to understand and serve these customers. It is no longer an option for business users to rely on IT to deliver customer and other relevant analytics. On the flipside, handing the analytics reins entirely to business users can make governance nearly impossible. Organizations must find balance in a new approach in which IT mostly governs and curates data while business users are empowered to derive insights from data mostly ontheir own without delay.
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Oracle Analytics
Published By: Oracle Analytics     Published Date: Oct 10, 2017
How are organizations balancing self-service analytics and data governance today? What are the trends for tomorrow? Many organizations are on their way to achieving self-service analytics maturity through the use of intuitive data visualization technologies aimed at non-technical users; as well as various tactics that reduce reliance on IT. But handing the analytics reins entirely to business users can make governance nearly impossible. As a result, organizations are increasing investments in modern analytics platforms that enable a balance between IT governing and curating data, empowering business users to derive insights from data mostly on their own and without delay. Join guest speaker, Forrester Research VP and Principal Analyst, Boris Evelson and Oracle Analytics Senior Group Director, Jose Villacis as they discuss insights from an Oracle-commissioned study of North American enterprise analytics leaders.
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Oracle Analytics
Published By: Oracle Analytics     Published Date: Oct 10, 2017
How are organizations balancing self-service analytics and data governance today? What are the trends for tomorrow? Many organizations are on their way to achieving self-service analytics maturity through the use of intuitive data visualization technologies aimed at non-technical users; as well as various tactics that reduce reliance on IT. But handing the analytics reins entirely to business users can make governance nearly impossible. As a result, organizations are increasing investments in modern analytics platforms that enable a balance between IT governing and curating data, empowering business users to derive insights from data mostly on their own and without delay.
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Oracle Analytics
Published By: Sage Software (APAC)     Published Date: May 02, 2018
Globalisation, increasing competition, the constant need to expand revenue bases while cutting costs are among the many changes significantly impacting modern businesses. Are you trying to gain faster insight into business data from multiple sources and devices? Are you trying to recover agility, responsiveness and reduce overhead costs? Get the whitepaper and discover what’s the right enterprise management solution for you to remain competitive.
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Sage Software (APAC)
Published By: Sage Software (APAC)     Published Date: May 02, 2018
Data overload have burdened practically every largescale enterprise today. It’s vital for competitive enterprise not only to find solutions that will deliver the right data at the right time, but also be confident that the data they are looking at is governed and trusted. Sage Business Cloud Enterprise Management enables businesses to gain real-time access to data and make critical business decisions; achieve a better ROI while reducing IT overhead; automate data integration and deliver a 360-degree view of the businesses; mitigate data security risks and comply with legal regulations. Download this whitepaper and discover how to overcome some common challenges of information overload to increase your business insight and visibility.
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Sage Software (APAC)
Published By: Google     Published Date: Jan 24, 2019
The Internet of Things is growing fast: By 2025, IoT devices will transmit an estimated 90 zettabytes of data to their intended targets, according to IDC. Armed with information, businesses can revolutionise everything from fraud detection to customer service. But first, they need an architecture that supports real-time analytics so they can gain actionable insights from their IoT data. Read the complete report sponsored by Google Cloud, and learn how to mitigate key IoT-related challenges.
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Google
Published By: IBM     Published Date: Apr 05, 2016
It's no longer enough to be able to predict what might happen-organizations also need to know how to respond to predictive insights. This white paper describes how predictive analytics and decision optimization can work together to create a powerful end-to-end decision management system.
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ibm, business insight, business action, ibm decision optimization, ibm predictive analytics
    
IBM
Published By: IBM     Published Date: Apr 12, 2016
The digital transformation that organizations are striving for today requires a mindset of "no limits" in terms of securely exposing critical business assets for internal and external consumption. In order to be an agile, digital business, enterprises need to seamlessly connect across hybrid environments, applications, data and processes, keeping a keen eye on an open cloud strategy. They also need a secure integration framework to provide controlled access, a single dashboard providing performance insights, and easy access to digital assets for your developers. This webcast will explore all of these areas in depth, to support your enterprise's quest to become a next-generation digital business.
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ibm, digital business, api economy, api management, apim, api
    
IBM
Published By: IBM     Published Date: Jan 18, 2017
The synergy between predictive analytics and decision optimization is critical to good decision making. Predictive analytics offers insights into likely future scenarios, and decision optimization prescribes best-action recommendations for how to respond to those scenarios given your business goals, business dynamics, and potential tradeoffs or consequences. Together, predictive analytics and decision optimization provide organizations with the ability to turn insight into action—and action into positive outcomes. In this white paper, you’ll gain a better understanding of: The difference between predictive and prescriptive analytics How predictive and prescriptive actions complement one another to help you achieve optimized business decisions IBM’s approach to creating a powerful end-to-end decision management system
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ibm, predictive analytics, decision optimization, synergy, decision making, business goals, prescriptive analytics, decision management
    
IBM
Published By: IBM     Published Date: Jan 27, 2017
In this era of digital transformation, business and IT leaders across all industries are looking for ways to easily and cost-effectively unlock the value of enterprise data and use it to deliver new customer experiences while fueling business growth. The digital economy is changing the way organizations gather information, gain insights, reinvent their businesses and innovate both quickly and iteratively.
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IBM
Published By: IBM     Published Date: Jul 26, 2017
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business. To meet the business imperative for enterprise integration and stay competitive, companies must manage the increasing variety, volume and velocity of new data pouring into their systems from an ever-expanding number of sources. They need to bring all their corporate data together, deliver it to end users as quickly as possible to maximize
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scalability, data warehousing, resource planning
    
IBM
Published By: Group M_IBM Q1'18     Published Date: Jan 04, 2018
For data-driven businesses, cloud can be a boon. Data can be found, processed and managed on the cloud without an investment in local hardware infrastructure, but what does that mean to information trust and governance? When data comes from cloud-based sources, IT needs a plan for data integration and security. Download this insightful white paper and learn the four key priorities you must consider when developing your IT strategy to promote good hybrid information governance. Learn the blend of process, organizational and technical enablers that will allow you to move to a hybrid environment with speed and confidence.
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data-driven business, cloud, information trust, information governance, data integration, data security, it strategy
    
Group M_IBM Q1'18
Published By: Entrust Datacard     Published Date: Jun 29, 2017
Customers are the ones in control. And they give their business to the businesses keeping pace. To learn how you can keep pace, get a sneak peek into the upcoming webinar – “The Bottom Line About Instant Card Issuance” by downloading the new insight infographic.
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Entrust Datacard
Published By: Workday     Published Date: Sep 18, 2018
Explore the strategies companies are pursuing to manage change in this Workday-sponsored Harvard Business Review Analytic Services report. See how organisations use a single cloud-based system for finance and HR to create data-led decision-making, support C-suite collaboration, and develop planning methods with better insight, accuracy, and speed.
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finance, workday, workforce technology, digital strategy
    
Workday
Published By: WNS     Published Date: Jun 21, 2017
Making key decisions that improve business performance requires more than simple insights. It takes deep data discovery and a keen problem solving approach to think beyond the obvious. As a business leader, you ought to have access to information most relevant to you that helps you anticipate potential business headwinds and craft strategies which can turn challenges into opportunities finally leading to favorable business outcomes. WNS DecisionPoint , a one-of-its kind thought leadership platform tracks industry segments served by WNS and presents thought-provoking original perspectives based on rigorous data analysis and custom research studies. Coupling empirical data analysis with practical ideas around the application of analytics, disruptive technologies, next-gen customer experience, process transformation and business model innovation; we aim to arm you with decision support frameworks based on points of fact.
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cost of goods solid, warehousing and logistics, advertising and promotion, rent, electricity and utilities, floor staff, depreciation, system costs
    
WNS
Published By: HP - Enterprise     Published Date: Jun 04, 2013
Businesses are overwhelmed with data; it’s a blessing and a curse. A curse because it can overwhelm traditional approaches to storing and processing it. A blessing because the data promises business insight that never existed earlier. The industry has spawned a new term, “big data,” to describe it. Now, IT itself is overwhelmed with its own big data. In the press to roll out new services and technologies—mobility, cloud, virtualization—applications, networks, and physical and virtual servers grow in a sprawl. With them comes an unprecedented volume of data such as logs, events, and flows. It takes too much time and resources to sift through it, so most of it lies unexplored and unexploited. Yet like business data, it contains insight that can help us solve problems, make decisions, and plan for the future.
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data research, big data, virtualization, applications, networks
    
HP - Enterprise
Published By: HP - Enterprise     Published Date: Jun 05, 2013
Traditional project management techniques are not working as well as expected. According to research, an average organization has at least $74 million USD (yearly) in at-risk projects. And, even when projects are executed successfully, all too often they still fail to deliver business benefits. So, how do you get started? How do you prioritize which issues to address first? What are the risks and potential rewards? What can you do yourself and where can you need help? This paper helps you answer those questions. It provides important insights into the root causes of project failures and misalignment with business unit expectations, along with possible solutions. It illustrates the path to optimized project and portfolio management from four different starting points, and provides step-by-step advice to help you reach new milestones quickly. It is intended to help you make the transition from managing IT projects to managing business outcomes.
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it project, portfolio management
    
HP - Enterprise
Published By: Success Factors     Published Date: Jul 08, 2014
Technology plays an integral role in enabling businesses to have access to insightful analytics. By providing metrics on core workforce facts, workforce financials, productivity and performance, talent development and succession and human capital risk, companies are able to identify those 10- 15 metrics most important to business goals. This will enable them to present the Board of Directors with a comprehensive and concise story of workforce capabilities. The best place, we suggest, is with expert, practical guidance. Download this informative resource.
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success factors, workforce data, boardroom, metrics, workforce facts, workforce financials, hr metrics, tecnhology
    
Success Factors
Published By: Teradata     Published Date: Oct 15, 2012
Does your organization struggle to get new business insights from all data types with rapid exploration?
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data scientists, analyst, statistician, quants, quantitative analyst, scientist, data science
    
Teradata
Published By: CA Technologies     Published Date: Jun 04, 2015
Enterprises that depend heavily on IT to deliver services to customers are constantly driven by market pressures to better develop and release new software features to meet growing demands. Facilitating the collaboration between development and IT operations and bringing application to market faster with high quality are crucial to today’s business success. This solution brief provides insights into the DevOps movement, why it matters and how you can cross the chasm to achieve better collaboration to deliver business value rapidly. You’ll learn how CA Technologies solutions for DevOps bring your portfolio of IT technology forward in a cadence of faster, more predictable releases, letting you confirm the results of each phase of the software life cycle toward positive business outcomes.
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CA Technologies
Published By: Box     Published Date: Nov 24, 2015
The adoption of enterprise content collaboration solutions has exploded as individuals sought ways to easily access, manage, and collaborate on content. Accordingly, businesses want to leverage those easy-to-use solutions but can’t compromise when it comes to enterprise-grade administrative control, security, and business insights.
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box, dropbox, business, productivity, collaboration, content, enterprise
    
Box
Published By: Onbase     Published Date: Feb 18, 2016
Today’s increasingly competitive global economy requires businesses to make decisions faster than ever. Businesses need instant insight into the status of their people and processes. But manual, paper-based processes undermine decision-making. Paper makes it difficult for businesses to make smart decisions about their operations and their working capital. Manual processes also are costly and inefficient, create headaches for front-line staff, introduce compliance and security risks, and stymie collaboration with trading partners.
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finance, decision-making, accounts payable, business practices, finance management
    
Onbase
Published By: Oracle ODA     Published Date: Aug 15, 2016
Businesses understand more than ever that they depend on data for insight and competitive advantage. And when it comes to data, they have always wanted easy access and fast performance. But how is the situation different now? Today, organizations want those elements and more. They want IT to strip away the limitations of time with faster deployment of new databases and applications. They want IT to reduce the limitations of distance by giving remote and branch offices better and more reliable access. And in a global world where business never stops, they want IT to ensure data availability around the clock. If IT can deliver databases and applications faster, on a more automated and consistent basis, to more locations without having to commit onsite resources, IT will be free to focus on more strategic projects.
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Oracle ODA
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