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Published By: Dell EMC     Published Date: Oct 08, 2015
Download this whitepaper to learn more about how to capture, analyze and manage a tidal wave of structured and unstructured data, turn this data into operational intelligence, And how to overcome the limitations of databases and data management tools that weren’t designed for a world of big data with Dell.
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Dell EMC
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
The current trend in manufacturing is towards tailor-made products in smaller lots with shorter delivery times. This change may lead to frequent production modifications resulting in increased machine downtime, higher production cost, product waste—and no need to rework faulty products. To satisfy the customer demand behind this trend, manufacturers must move quickly to new production models. Quality assurance is the key area that IT must support. At the same time, the traceability of products becomes central to compliance as well as quality. Traceability can be achieved by interconnecting data sources across the factory, analyzing historical and streaming data for insights, and taking immediate action to control the entire end-to-end process. Doing so can lead to noticeable cost reductions, and gains in efficiency, process reliability, and speed of new product delivery. Additionally, analytics helps manufacturers find the best setups for machinery.
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TIBCO Software GmbH
Published By: TIBCO Software GmbH     Published Date: Jan 15, 2019
Enterprises use data virtualization software such as TIBCO® Data Virtualization to reduce data bottlenecks so more insights can be delivered for better business outcomes. For developers, data virtualization allows applications to access and use data without needing to know its technical details, such as how it is formatted or where it is physically located. For developers, data virtualization helps rapidly create reusable data services that access and transform data and deliver data analytics with even heavylifting reads completed quickly, securely, and with high performance. These data services can then be coalesced into a common data layer that can support a wide range of analytic and applications use cases. Data engineers and analytics development teams are big data virtualization users, with Gartner predicting over 50% of these teams adopting the technology by 202
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TIBCO Software GmbH
Published By: TIBCO Software GmbH     Published Date: Jan 22, 2019
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution. Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze. Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform. Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing: • Reduced downtime • Minimized surplus and defects • Deep insights • End-to-end real-time visibility
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TIBCO Software GmbH
Published By: SAS     Published Date: Oct 22, 2015
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics. To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
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SAS
Published By: Here Technologies     Published Date: Mar 29, 2019
Advertisers are beginning to invest in location insights which give them data on how and why transactions are made in specific places. And with nearly all smartphones equipped with geolocation abilities, advertisements can be made location-aware with improved precision for targeting. Understanding location is key to gaining improved insights. HERE offers data sets and services that advertisers can use to contextualize consumer movements and habits in the world around them to provide well-timed and relevant advertising.
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location data, ad tech, location targeting
    
Here Technologies
Published By: Here Technologies     Published Date: Mar 29, 2019
With big data, you can understand your consumers better than ever before. But for smarter advertising, you need to harness a more complete view of your consumers, both online and offline. HERE Technologies enables advertisers to make sense of their dynamic user data and build more actionable insights, through audience segmentation, real-time location targeting and attribution.
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location data, ad tech, location targeting
    
Here Technologies
Published By: IBM APAC     Published Date: Jul 09, 2017
Organizations today collect a tremendous amount of data and are bolstering their analytics capabilities to generate new, data-driven insights from this expanding resource. To make the most of growing data volumes, they need to provide rapid access to data across the enterprise. At the same time, they need efficient and workable ways to store and manage data over the long term. A governed data lake approach offers an opportunity to manage these challenges. Download this white paper to find out more.
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data lake, big data, analytics
    
IBM APAC
Published By: Amazon Web Services     Published Date: Jul 25, 2018
What is a Data Lake? Today’s organizations are tasked with managing multiple data types, coming from a wide variety of sources. Faced with massive volumes and heterogeneous types of data, organizations are finding that in order to deliver insights in a timely manner, they need a data storage and analytics solution that offers more agility and flexibility than traditional data management systems. Data Lakes are a new and increasingly popular way to store and analyze data that addresses many of these challenges. A Data Lakes allows an organization to store all of their data, structured and unstructured, in one, centralized repository. Since data can be stored as-is, there is no need to convert it to a predefined schema and you no longer need to know what questions you want to ask of your data beforehand. Download to find out more now.
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Amazon Web Services
Published By: Amazon Web Services     Published Date: Jul 25, 2018
Defining the Data Lake “Big data” is an idea as much as a particular methodology or technology, yet it’s an idea that is enabling powerful insights, faster and better decisions, and even business transformations across many industries. In general, big data can be characterized as an approach to extracting insights from very large quantities of structured and unstructured data from varied sources at a speed that is immediate (enough) for the particular analytics use case.
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Amazon Web Services
Published By: Sage People     Published Date: Jan 04, 2019
Do you know your people as well as you know your customers? Your people’s expectations and the way they work is changing. Employees are more diverse, mobile and technologically-savvy than ever before. HR processes are changing from focusing on transactions to knowing and engaging people. Just as sales and marketing teams use data to develop actionable and informed insights about their customers, you need to do the same in HR to know your people. Everything, from attracting and keeping the best talent, to creating better workplace experiences and increasing employee engagement and productivity, depends on smarter decisions. These in turn rely on more actionable insights. These are only possible through accurate HR data and analytics. They are vital to address the people challenges you face, so you can make smarter decisions. Discover in this guide how to improve visibility of your workforce with data-driven and actionable insights. Ultimately, it will help you know your people
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Sage People
Published By: Sage EMEA     Published Date: Dec 19, 2018
Do you know your people as well as you know your customers? Your people’s expectations and the way they work is changing. Employees are more diverse, mobile and technologically-savvy than ever before. HR processes are changing from focusing on transactions to knowing and engaging people. Just as sales and marketing teams use data to develop actionable and informed insights about their customers, you need to do the same in HR to know your people. Everything, from attracting and keeping the best talent, to creating better workplace experiences and increasing employee engagement and productivity, depends on smarter decisions. These in turn rely on more actionable insights. These are only possible through accurate HR data and analytics. They are vital to address the people challenges you face, so you can make smarter decisions. Discover in this guide how to improve visibility of your workforce with data-driven and actionable insights. Ultimately, it will help you know your people better an
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Sage EMEA
Published By: Adobe     Published Date: Nov 07, 2013
Today’s leading DMPs are ingesting a wide range of owned and licensed data streams for insights and segmentation and are pushing data into a growing number of external targeting platforms, helping marketers deliver more relevant and consistent marketing communications.
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adobe, the forrester wave, forrester dmp wave, audience management, data management platforms, multi-touchpoint targeting, multi-touchpoint execution, dmp vendor offerings, seamless data ingestion, message delivery, strong vendors, product evaluations, selecting right partner, audience insights, coordinated targeting
    
Adobe
Published By: Pega     Published Date: Jul 29, 2015
Customer insights professionals face the challenging task of delivering contextually relevant experiences across the customer life cycle. They need to work with their business technology counterparts to integrate enterprise marketing technologies that manage customer data, provide real-time analytics and insights, and automate cross-channel interactions. Here is where Real-Time Interaction Management (RTIM) is critical, according to The Forrester Wave™: Real-Time Interaction Management, Q3 2015 report, which identified the 11 most significant technology providers in this space across 35 criteria. Forrester defines RTIM as “Enterprise marketing technology that delivers contextually relevant experiences, value, and utility at the appropriate moment in the customer life cycle via preferred customer touchpoints,” and identifies Pegasystems as one a leader in this very diversified pack. Download this Forrester Wave report to discover how well each vendor fulfills Forrester’s criteria an
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Pega
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
A tool for finance leaders to unify disparate customer data with financial and strategic ROI If you’ve found yourself sweating in a smoky billiard room, wondering what role customer data should play in finance—as well as in your company’s long-term strategy—this eBook will help you hone your pool shark skills. Inside, you’ll find insights about…. • How to identify patterns in your customer portfolio, and why it matters. • Avoiding four critical data billiard blunders. • Key questions to ask while you’re segmenting your data. • How to tell if your portfolio segmentation strategy is working with the right reporting. This eBook will help you navigate the crowded billiard room of customer data and how you can use it to drive cross-functional value for your team.
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Dun & Bradstreet
Published By: Workday APAC     Published Date: Apr 11, 2019
Whether informing talent strategy or building more effective teams, data-driven insights about your workforce can set you up for success. This eBook from Human Capital Institute explores how people analytics can empower your entire organization. Read now.
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Workday APAC
Published By: SAP     Published Date: Sep 19, 2017
SAP S/4HANA Retail for merchandise management is at the core of a comprehensive suite of retail offerings designed to help retailers meet the demands of a digital economy. It supports retail core processes end to end, starting with master data down to point-of-sales (POS) connectivity. It allows insights into operational retail data, empowering users with contextual, real time information for faster and better decision making. Processes can easily be extended to connect to business networks to form a digital ecosystem and collaboratively drive business model improvements. Equipped with a simple and intuitive user experience, the solution offers better support for headquarters users as well as store associates to drive compelling customer experiences.
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master data, management, retail price, merchandise buying, collaboration, vendor agreement, forecasting, sap
    
SAP
Published By: IBM APAC     Published Date: Jun 07, 2017
The analytics tools you’ve come to rely on probably haven’t kept pace with this rapid change, and may now be less effective. Systems may not be nimble enough to follow customer journeys across channels and time. Different platforms in different departments can’t talk to each other, so reporting is slowed. And it’s difficult to take proactive steps when your view of the total customer experience is a little blurry. Download this white paper to find out more.
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customer experience, analytics, analytics tools, customer analytics, customer experience management
    
IBM APAC
Published By: Dell     Published Date: Aug 08, 2018
Today's dynamic data demands pose new threats to security and IT professionals have to mitigate new risks without restricting the flow of information. Per findings discovered in a recent Forrester report, "Evolving Security to Accommodate the Modern Worker", Brett Hansen, Dell's Vice President of Client Software and General Manager of Data Security, shares his insights on solutions Dell provides to meet the needs of employees and IT. Download this article to learn: • What IT departments can do to tailor security solutions to different users • How flexible security can be to address the needs of various workers • Which solutions are best at protecting your data
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Dell
Published By: Dell EMC     Published Date: Feb 14, 2019
Today's dynamic data demands pose new threats to security and IT professionals have to mitigate new risks without restricting the flow of information. Per findings discovered in a recent Forrester report, "Evolving Security to Accommodate the Modern Worker", Brett Hansen, Dell's Vice President of Client Software and General Manager of Data Security, shares his insights on solutions Dell provides to meet the needs of employees and IT. Download this article from Dell and Intel® to learn: • What IT departments can do to tailor security solutions to different users • How flexible security can be to address the needs of various workers • Which solutions are best at protecting your data
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Dell EMC
Published By: Dell EMC     Published Date: Feb 14, 2019
Artificial intelligence (AI) is a transformative technology that will change the way organizations interact and will add intelligence to many products and services through new insights currently hidden in vast pools of data. In 2017 alone, venture capitalists invested more than $11.7 billion in the top 100 Artificial Intelligence startups, according to CB Insights1, and the breadth of Artificial Intelligence applications continues to grow. While human-like intelligence will remain the stuff of novels and movies for the near future, most organizations can and should explore practical Artificial Intelligence projects. This technology has the potential to: • Improve productivity of internal applications • Increase revenue through enhanced customer interacton and improved customer acquisiiton • Reduce costs by optimizing operations • Enhance products and services with "smart" functionality such as vision and voice interaction and control This paper provided by Dell and Intel® gives executi
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Dell EMC
Published By: Bazaarvoice     Published Date: Aug 12, 2013
Thanks to social, consumers are more vocal than ever and their opinions are influencing the purchase decisions of consumers all across the web. Learn how to turn social data into strategic business advantage with nine guiding insights to improve your bottom line today.
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product insights, consumer engagement, business intelligence, consumer insights, retail
    
Bazaarvoice
Published By: Oracle     Published Date: Aug 08, 2013
As social media use has grown, an urgent need has emerged to correlate the information generated through social data with existing consumer information, and integrate it with sophisticated data management systems. This white paper describes how organizations can blend social insights with more-traditional data in an integrated customer data hub to optimize social strategies and create outreach efforts, new products, and campaigns grounded in real-time, repeatable, automated, and scalable analysis.
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social media, business intelligence, customer hub, crm, oracle
    
Oracle
Published By: Juniper Networks     Published Date: May 04, 2018
PwC surveyed 235 IT leaders and interviewed another 35 from large, medium, and small enterprises to understand the buying decisions of IT leaders, across a wide variety of networking components (i.e., switches, SDN, and infrastructure monitoring solutions) within the data center. This report highlights the survey and interview insights to help Enterprise IT leaders understand the trends and implications of multi cloud environments.
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Juniper Networks
Published By: CyberSource     Published Date: Apr 25, 2019
Download this white paper to find out how you could augment your fraud management with Decision Manager machine learning insights from more than 68 billion annually processed Visa and CyberSource transactions – matched with flexible rules-based fraud strategies. • Detect fraud more accurately with robust data and insights on ever-changing fraud patterns • Protect your bottom line by reducing fraud and chargebacks • Increase acceptance rates with the only fraud solution that uses machine learning to generate and test new rules-based strategies from your historic data …and more.
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CyberSource
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