business analytics

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Published By: Dell EMC & Intel     Published Date: Apr 13, 2018
Your company is collecting more data than ever before; your customers’ pain points, habits, and desires all flow in and out of your business each second. To mine the most value from that data, and to get the answers you need at a competitive speed, you need to employ server solutions powerful enough to handle complex analytics software. In the Principled Technologies datacenter, we compared a legacy Dell EMC™ PowerEdge™ R720xd powered by Intel® Xeon® Platinum processor’ to the new PowerEdge R740xd (powered by Intel® Xeon® Scalable processors) in three storage configurations: with basic hard drives, with SATA SSDs, and with NVMe SSDs. Intel Inside®. New Possibilities Outside.
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Dell EMC & Intel
Published By: IBM     Published Date: Oct 13, 2011
This whitepaper from IBM reveals three ways that the most successful companies are taking action when they deploy business analytics.
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ibm, big data, analytics, knowledge discovery, data mining, business analytics and optimization, bao, business analytics, insight
    
IBM
Published By: MedeAnalytics     Published Date: Mar 09, 2012
Put simply, the aim of reporting is to translate or convert data into information. Reporting done well often prompts end-users to raise questions about the business. Analytics fills in the gap, answering the questions raised by reporting, thereby transforming data into insights. Read more to find out how analytics can go beyond reporting to provide actionable recommendations to improve business performance.
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analytics, reporting, healthcare, business intelligence, business, hospitals
    
MedeAnalytics
Published By: Cisco     Published Date: Oct 06, 2015
Read more to learn how Cisco’s Mobile Experience Business Offer can unleash the power of your network to better serve your customers with locations based analytics, real time interactions, and mobile experience development tools.
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cisco, mobile business, cisco mobile experience business, cmx, cisco wireless infrastructure, crm, it management, knowledge management, enterprise applications, data management
    
Cisco
Published By: SAP     Published Date: May 05, 2016
Part of a series on the Future of Procurement, by Oxford Economics
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sap, ariba, business, procurement, oxford economics, kpis, analytics, enterprise applications, business technology
    
SAP
Published By: SAP Ariba     Published Date: May 05, 2016
Part of a series on the Future of Procurement, by Oxford Economics
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sap, ariba, business, procurement, oxford economics, kpis, analytics, enterprise applications, business technology
    
SAP Ariba
Published By: Microsoft     Published Date: Oct 07, 2016
Security was once largely limited to the confines of an on-premises world, but now it must extend to the cloud, as well as a myriad of mobile devices. Employees and companies now expect increasingly complex interactions with devices, apps, data, and even other users. As many companies struggle to keep up with traditional single-point solutions, and limited budgets, this pressure is creating security blind spots for IT. In a world of evolving threats, it is becoming increasingly impossible to address all of these issues with an on-premises solution.
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technology, best practices, data, enterprise, business analytics, business intelligence, business management
    
Microsoft
Published By: CA Technologies     Published Date: Aug 22, 2017
Privileged user accounts—whether usurped, abused or simply misused—are at the heart of most data breaches. Security teams are increasingly evaluating comprehensive privileged access management (PAM) solutions to avoid the damage that could be caused by a rogue user with elevated privileges, or a privileged user who is tired, stressed or simply makes a mistake. Pressure from executives and audit teams to reduce business exposure reinforces their effort, but comprehensive PAM solutions can incur hidden costs, depending on the implementation strategy adopted. With multiple capabilities including password vaults, session management and monitoring, and often user behavior analytics and threat intelligence, the way a PAM solution is implemented can have a major impact on the cost and the benefits. This report provides a blueprint for determining the direct, indirect and hidden costs of a PAM deployment over time.
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CA Technologies
Published By: Microsoft     Published Date: Oct 06, 2016
Download the Keystone Research whitepaper to see how top performing enterprises use their IT investments to store, process, and use data to make more effective, real-time decisions. Keystone Research, a global economics and data-driven strategy consulting firm, interviewed senior IT and business decision makers at over three hundred businesses to uncover the relationship between Data & Analytics technologies and business performance. This research shows that companies who have developed the most sophisticated Data & Analytics platforms and apply these capabilities as a regular part of their business enjoy operating margins that are eight percentage points higher than lagging organizations. This translates to $100 million in operating profits on average for the more advanced companies in the sample controlling for factors such as company size and industry vertical.
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microsoft, analytics, data, business impact
    
Microsoft
Published By: Microsoft     Published Date: Feb 02, 2017
Download the Keystone Research whitepaper to see how top performing enterprises use their IT investments to store, process, and use data to make more effective, real-time decisions. Keystone Research, a global economics and data-driven strategy consulting firm, interviewed senior IT and business decision makers at over three hundred businesses to uncover the relationship between Data & Analytics technologies and business performance. This research shows that companies who have developed the most sophisticated Data & Analytics platforms and apply these capabilities as a regular part of their business enjoy operating margins that are eight percentage points higher than lagging organizations. This translates to $100 million in operating profits on average for the more advanced companies in the sample controlling for factors such as company size and industry vertical.
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Microsoft
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
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: IBM     Published Date: Jun 16, 2015
This paper explores the implications of cloud, big data and analytics, mobile, social business and the evolving IT security landscape on data center and enterprise networks and the changes that organizations will need to make in order to capitalize on these technology force.
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cloud computing, mobility, big data, business analytics, it security landscape, enterprise networks, cloud integration, virtualization
    
IBM
Published By: IBM     Published Date: Oct 20, 2015
An analytics-based marketing platform can help marketers tackle the opportunities and challenges of a data and consumer-driven marketplace.
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ibm, business analytics, marketing, cmo, digital strategy, business technology, research
    
IBM
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, knowledge management, enterprise applications, data management, business technology
    
IBM
Published By: IBM     Published Date: Oct 26, 2016
Predictive analytics transforms organizations. Watch this video to see how predictive analytics can improve outcomes in four strategic areas critical to the success of your business: - Customer satisfaction and retention - More effective HR processes - Fraud and threat detection and prevention - Revenue growth and profitability
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ibm, analytics, predictive analytics, enterprise applications, business technology
    
IBM
Published By: IBM     Published Date: Oct 26, 2016
In this paper, you’ll explore how business analytics can form the foundation for a proactive threat management strategy. - See examples of how different types of organizations are applying analytics. - Learn practical steps you can take to combat threat and fraud in your own organization.
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ibm, analytics, predictive analytics, risk management, enterprise applications, business technology
    
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 18, 2017
Predictive analytics has come of age. Organizations that want to build and sustain competitive advantage now consider this technology to be a core practice. In this white paper, author Eric Siegel, PhD, founder of Predictive Analytics World, reveals seven strategic objectives that can only be fully achieved with predictive analytics. Read this paper to learn how your organization can more effectively: Compete – Secure the most powerful and unique competitive stronghold Grow – Increase sales and retain customers competitively Enforce – Maintain business integrity by managing fraud Improve – Advance your core business capacity competitively Satisfy – Meet today's escalating consumer expectations Learn – Employ today's most advanced analytics ....and finally, render your business intelligence and analytics actionable.
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predictive analytics, increase sales, customer retention, fraud management, consumer expectations
    
IBM
Published By: Oracle PaaS/IaaS/Hardware     Published Date: Jul 25, 2017
According to Mary Johnston Turner, Research Vice President at IDC; "Breaking down technology specific management as well as data silos also facilitates faster infrastructure and application rollouts, reduces human errors, and improves overall business agility.Cloud based management, monitoring and analytics help to improve collaboration between IT operations and developer teams by stabilizing service levels and monitoring usage to support accurate charge back." 
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Oracle PaaS/IaaS/Hardware
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: Pure Storage     Published Date: Jan 12, 2018
Apache Spark has become a critical tool for all types of businesses across all industries. It is enabling organizations to leverage the power of analytics to drive innovation and create new business models. The availability of public cloud services, particularly Amazon Web Services, has been an important factor in fueling the growth of Spark. However, IT organizations and Spark users are beginning to run up against limitations in relying on the public cloud—namely control, cost and performance.
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data, storage, scalability, cost efficiencies, pure storage
    
Pure Storage
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