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SAS® in the Open Ecosystem

Published By: SAS     Published Date: Sep 05, 2019
Envision this situation at a growing bank. Its competitive landscape demands an agile response to evolving customer needs. Fortunately, analytically minded professionals in different divisions are seeing results that positively affect the bottom line. • A data scientist in the business development team analyzes data to create customized • experiences for premium customers. • A digital marketer tracks and influences the customer journey for prospective • mortgage customers. • A risk analyst builds risk models for the bank’s loan portfolios. • A data analyst examines data about local customers. • A technical architect defines a new system to protect bank data from internal and • external cyberthreats. • An application developer builds a new mobile app for online customer portfolio • management. Between them, these employees might be using more than a dozen packages for analytics and data management.
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SAS

The 2020 Vision: The Next Decade for Enterprise Intelligence

Published By: MicroStrategy     Published Date: Jun 11, 2019
The use of analytics has exploded across business, and the value it already has delivered has heightened executives' expectations. Now data can be processed in real time to meet a constantly widening range of analytic needs. How your organization utilizes them in the next decade will be essential to your success. These developments come at an opportune time. Organizations are being over-whelmed by the rivers of data generated by applications and systems on-premises or flowing in via the cloud. At the same time, the cost of computational power has declined dramatically, making it practical to apply analytics to and generate information on just about anything. But no advance comes without challenges. While the widespread availability of analytics has created seemingly valuable insights, executives and managers are finding that those insights are not easily linked to steps that will improve business outcomes or optimize actions. Furthermore, analytics are not always easy for line of b
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MicroStrategy

MicroStrategy 2019 Whitepaper

Published By: MicroStrategy     Published Date: Aug 28, 2019
Over the last decade, the enterprise analytics landscape has dramatically transformed. Vendors have come and gone, and platforms have continually expanded their offerings to include new functionality and keep pace with the demands of the businesses they serve. Originally envisioned as an IT-centric tool for enterprise reporting, analytics today has evolved into a business solution—empowering a range of users across every line of business, including front-line employees, field personnel, and executives. The rise of self-service analytics over the past decade has played a key role in promoting a data-driven mindset within every business function. However, this practice is limited to a skilled few. The vast majority of business professionals lack the time, analytical skills, or inclination to conduct their own analyses, and fail to effectively use analytics on a day-to-day basis. The result? Despite decades of investments, BI adoption at most organizations remains at 30%. The failure of e
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MicroStrategy

Deaconess Gateway Asset Management Case Study

Published By: STANLEY Healthcare     Published Date: Mar 24, 2015
When performing preventive maintenance or addressing a recall on IV pumps, Deaconess Gateway Hospital personnel spent hours scouring the facility to locate the right pieces of equipment. At the same time, the hospital was purchasing an average of 12 new telemetry packs each year—at over $1,000 each—due to accidental loss of these highly mobile devices. Read this white paper to learn more about how Deaconess Gateway Hospital is using a real-time locating platform to improve mobile equipment visibility and build a foundation for future analytics and intelligence.
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hospital, healthcare, locating platform, mobile equipment visibility, analytics, intelligence, medical equipment
    
STANLEY Healthcare

The New Imperative for High-Performing Sales Teams

Published By: Optymyze     Published Date: Feb 05, 2018
Not too long ago, successful selling was all about power suits, firm handshakes, a persuasive attitude and gut instinct. Since then, the underlying map to sales success has changed dramatically. Today, the rock stars of any sales team are the reps who rely on data instead of intuition, and tools instead of tales. Read this article to learn how data and analytics enable sales reps and managers to improve sales productivity and more: • Gain a better understanding of your leads and prospects and personalize your approach. • Maximize the performance of new members of the sales team. • Increase compensation effectiveness. • Optimize territories.
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sales performance, sales performance management, sales data and analytics, sale operations, sales team performance, sales force
    
Optymyze

Oracle SPARC T8 and SPARC M8 Architecture

Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle

Software in Silicon: Enabling Secure Infrastructures for the Real-Time Enterprise

Published By: Oracle     Published Date: Oct 20, 2017
Modern technology initiatives are driving IT infrastructure in a new direction. Big data, social business, mobile applications, the cloud, and real-time analytics all require forward-thinking solutions and enough compute power to deliver the performance required in a rapidly evolving digital marketplace. Customers increasingly drive the speed of business, and organizations need to engage with customers on their terms. The need to manage sensitive information with high levels of security as well as capture, analyze, and act upon massive volumes of data every hour of every day has become critical. These challenges will dramatically change the way that IT systems are designed, funded, and run compared to the past few decades. Databases and Java have become the de facto language in which modern, cloud-ready applications are written. The massive explosion in the volume, variety, and velocity of data increases the need for secure and effective analytics so that organizations can make bette
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Oracle

Citizen Data Analytics: Give everyone a shot at the action

Published By: Adobe     Published Date: Oct 24, 2018
Adobe automates the process of turning insights into action by connecting Adobe Analytics to other solutions in Adobe Experience Cloud, including Adobe Target and Adobe Audience Manager. Four features make this possible: • Anomaly detection. The technology automatically analyzes trends and determines if they are statistically significant — in milliseconds. • Analyze play button. With analytics, you can take insights and connect them to your email, DMP, and personalization platform in seconds. • Intelligent alert. A built-in alerting system sends an SMS text or email when it detects an anomaly. There are also predictive algorithms that help you forecast how often the alert is likely to trigger. You can set these to only notify you of the most important changes. • Intelligent recommendations. It’s simply impossible to manually create every alert you might need, so Adobe is building machine learning directly into analytics to analyze users’ behaviors. Like a virtual data assistant, it co
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Adobe

Modern Storage Accelerates Data Insights, Speeding Innovation

Published By: Pure Storage     Published Date: Dec 05, 2018
Deep learning opens up new worlds of possibility in artificial intelligence, enabled by advances in computational capacity, the explosion in data, and the advent of deep neural networks. But data is evolving quickly and legacy storage systems are not keeping up. Read this MIT Technology Review custom paper to learn how advanced AI applications require a modern all-flash storage infrastructure that is built specifically to work with high-powered analytics, helping to accelerate business outcomes for data driven organizations.
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Pure Storage

7 Steps to Integrate B2B Sales and Marketing with Data

Published By: ttec     Published Date: Jul 24, 2019
Let’s face it: in today’s B2B landscape, the buyers call the shots. Buyers today are proactive, research their own options, and often include many decision makers rather than just one who can be wooed on a golf course or over dinner. So, where does that leave the salesperson? To succeed in this new landscape, sales professionals must understand how the buyer’s journey has changed and unlock the advantages that data analytics and statistical modeling can offer. Sales and marketing teams must also learn how to align their efforts to present a truly coordinated experience. Read this paper to learn how to take advantage of untapped opportunities for helping sales teams evolve in today’s buyer-empowered landscape.
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ttec

How to Enable High-Performance ELT Processing

Published By: Amazon Web Services     Published Date: Sep 05, 2018
Big data alone does not guarantee better business decisions. Often that data needs to be moved and transformed so Insight Platforms can discern useful business intelligence. To deliver those results faster than traditional Extract, Transform, and Load (ETL) technologies, use Matillion ETL for Amazon Redshift. This cloud- native ETL/ELT offering, built specifically for Amazon Redshift, simplifies the process of loading and transforming data and can help reduce your development time. This white paper will focus on approaches that can help you maximize your investment in Amazon Redshift. Learn how the scalable, cloud- native architecture and fast, secure integrations can benefit your organization, and discover ways this cost- effective solution is designed with cloud computing in mind. In addition, we will explore how Matillion ETL and Amazon Redshift make it possible for you to automate data transformation directly in the data warehouse to deliver analytics and business intelligence (BI
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Amazon Web Services

eBook: Modern Data Warehousing on AWS

Published By: AWS     Published Date: Jun 20, 2018
Data and analytics have become an indispensable part of gaining and keeping a competitive edge. But many legacy data warehouses introduce a new challenge for organizations trying to manage large data sets: only a fraction of their data is ever made available for analysis. We call this the “dark data” problem: companies know there is value in the data they collected, but their existing data warehouse is too complex, too slow, and just too expensive to use. A modern data warehouse is designed to support rapid data growth and interactive analytics over a variety of relational, non-relational, and streaming data types leveraging a single, easy-to-use interface. It provides a common architectural platform for leveraging new big data technologies to existing data warehouse methods, thereby enabling organizations to derive deeper business insights. Key elements of a modern data warehouse: • Data ingestion: take advantage of relational, non-relational, and streaming data sources • Federated q
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AWS

Are senior business leaders holding back tech adoption?

Published By: 8x8 Inc.     Published Date: Jun 16, 2017
Do attitudes to IT adoption vary depending on your seniority within a business? And could this be holding back adoption of technology? These are key questions explored in this paper, which compares the views of mid-level ‘hands on’ IT managers with those of senior directors within British companies. Across both groups, there is a sense that UK business in general is too wary of implementing new technology. But there is a significant divergence of opinion when it comes to a range of factors, such as the extent to which companies invest in new technology, stay on top of the latest tech, and understand its importance to the success of the business. A pattern emerges, whereby the senior leaders within companies are far happier than middle managers with the status quo around technology adoption. And IT managers even suggest that this might be driven by self preservation on the part of senior leaders.
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video conferencing, instant messaging, cloud based computer system, fixed phone line, pbx, cloud based telephony system, call analytics, byod
    
8x8 Inc.

Automating Marketing Decision Making

Published By: iKnowtion     Published Date: Nov 17, 2011
Learn how predictive models can improve call volume forecasting. The models provide information about how various independent factors, such as advertising, affect call volume in the short and medium term.
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customer intelligence, predictive modeling, forecasting, call volume, marketing analytics, iknowtion
    
iKnowtion

Cloud Contact Centers Gaining Share 8x8-CCNG Survey

Published By: 8x8 Inc.     Published Date: Feb 13, 2017
The migration of contact centers from on-premises to the cloud is well underway and dramatically changing how companies deliver customer experience. That’s the conclusion of this 2016 survey by 8x8 and the Contact Center Network Group (CCNG) of 154 contact center professionals in the U.S. and UK. The November 2016 survey results uncover a range of trends and opportunities that highlight the importance of analytics, the increase in remote working, and the integration of more non-voice channels into the contact center. Download this complimentary report to learn: Major business drivers that are leading contact centers to cloud Surprising top method for measuring and improving agent performance Concerns and obstacles around moving to the cloud Increased prevalence of remote working and key challenges reported The most popular non-voice channels contact center managers would like to incorporate
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cloud contact center, ccng, analytics. remote working, non-voice channels
    
8x8 Inc.

Using Contact Center Strategic Planning and Budgeting Tools to Optimize the Customer Experience

Published By: Interactive Intelligence     Published Date: Apr 23, 2014
Customer Experience (CX) and Net Promoter Score (NPS) are two of the benchmark measurements companies now use to gauge customer satisfaction. And to understand how budgetary decisions impact CX and NPS outcomes, companies are turning to advanced contact center technology for strategic planning and big data. But business requirements to manage these outcomes successfully must incorporate back-office operations as well as the contact center. Read why.
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contact center, contact center strategy, customer experience, optimization, strategic planning, budgeting tools, workforce management solutions, call center
    
Interactive Intelligence

Quality 4.0 Impact and Strategy Handbook

Published By: SAS     Published Date: Oct 18, 2017
Quality 4.0 isn't really a story about technology. It's about how that technology improves culture, collaboration, competency and leadership. The last decade has seen rapid advances in connectivity, mo­bility, analytics, scalability and data, creating what some call the fourth industrial revolution, or Industry 4.0. With the help of the Industrial Internet of Things (IIoT), manufacturers have digitized operations, transforming efficiency, supply-chain performance and in­novation. This revolution has even created entirely new business models. This e-book gives manufacturers the tools to lead the Qual­ity 4.0 transformation – a transformation that raises traditional manufacturing to the next level. It teaches readers to use advanced technology, analytics and IIoT to strengthen the manufacturing process and bring it forward into a powerful digital age.
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SAS

Customer Analytics, Insight and Segmentation

Published By: IBM     Published Date: Nov 28, 2012
Channel proliferation has made understanding who your customers are and how they interact with your brands over time and across channels dramatically harder. Watch this webinar and learn about IBM's customer analytics and how it can help serve you.
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analytics, insight, segmentation, ibm customer analytics, ibm, products, channel, business technology
    
IBM

Business Analytics in the cloud: Driving business innovation through cloud computing and analytics

Published By: IBM     Published Date: May 07, 2013
Read this whitepaper to learn how businesses take advantage of the power of the cloud to build strong analytically oriented teams, adopt new ways to use information and jump ahead of their competition. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
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analytics, cloud, business, innovation, computing, information, advantage, power
    
IBM

The 8 Criteria for Enterprise-Grade Communications as a Service

Published By: 8x8 Inc.     Published Date: Feb 13, 2017
Many companies claim to offer enterprise grade communications solutions. But how is “enterprise grade” measured and what should you look for? This fact-filled white paper outlines 8 ways to determine whether or not your provider is equipped to offer an enterprise-grade communications solution. Download this complimentary white paper: The 8 Criteria for Enterprise-Grade Communications as a Service 8x8 shares full technical details on what to expect from an enterprise-grade service platform that stands above the rest. You’ll learn the 8 criteria to look for including: What to expect when it comes to service level guarantees What geo-routing technology is and why it’s critical for optimizing global call clarity and reliability What you should look for in your communications provider’s network for global operations and superior service Which security and compliance certifications to expect from your provider Specific uptime and reliability metrics to ask your provider for How analytics
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communications, enterprise grade, communications solution, 8x8, geo-routing
    
8x8 Inc.

Keep Them Coming Back: Your Guide to Building Customer Loyalty with Analytics

Published By: SAS     Published Date: Apr 25, 2017
Whether you call them customers, clients, patrons, guests or patients, customers are your organization’s most important asset. And that means customer loyalty should be among your top priorities. No matter when or where the customer journey begins – from websites and online chat to physical locations and call centers – customers expect you to provide a unique and personal experience. How can you use data and analytics to recognize your best customers across channels and know exactly where they are in their customer journey? Keep reading to find out.
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SAS

How to Socially Enable Your Contact Center

Published By: Oracle     Published Date: Nov 27, 2013
Social-enabled customer service requires three primary capabilities. The capability to: 1. Listen and Respond: Treat Social Media as an Integrated Interaction Channel Most social-enabled contact centers are at the early adopter stage, attempting to “bolt on” social media as a side process. Many are experiencing inconsistent customer experiences, higher costs and negligible return on investments. Download this White Paper for more info.
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contact centers, business value, functions, applications, inbound, outbound calling, social media analytics, integration tools
    
Oracle

Talent Analytics in the New Era of Cognitive Computing

Published By: IBM     Published Date: Mar 28, 2016
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, kenexa talent insights, workforce science, talent insights, human resource technology
    
IBM

Talent Analytics in the New Era of Cognitive Computing

Published By: IBM     Published Date: Jun 13, 2016
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 acquisition, talent acquisition technology, human resources, recruiting, talent acquisition technology
    
IBM

Talent Analytics in the New Era of Cognitive Computing

Published By: IBM     Published Date: Jul 20, 2016
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 acquisition, talent acquisition technology, human resources, recruiting, talent acquisition technology, human resource technology
    
IBM
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