data streams

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Published By: Automation Anywhere APAC     Published Date: Apr 18, 2019
Bancolombia is an award winning, full-service financial institution that provides banking services to customers in 12 different countries and is one of the 10th largest financial groups in Latin-America.With bots from Automation Anywhere, Bancolombia sifts through structured, semi-structured, and unstructured customer data to transform their BPM. Bots automate hundreds of processes and greatly increasing back office efficiency, saving Bancolombia a significant amount of time servicing customers. This has led to an increase in CSAT numbers and has created additional revenue streams.
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Automation Anywhere APAC
Published By: Hewlett Packard Enterprise     Published Date: May 11, 2018
If your business is like most, you are grappling with data storage. In an annual Frost & Sullivan survey of IT decision-makers, storage growth has been listed among top data center challenges for the past five years.2 With businesses collecting, replicating, and storing exponentially more data than ever before, simply acquiring sufficient storage capacity is a problem. Even more challenging is that businesses expect more from their stored data. Data is now recognized as a precious corporate asset and competitive differentiator: spawning new business models, new revenue streams, greater intelligence, streamlined operations, and lower costs. Booming market trends such as Internet of Things and Big Data analytics are generating new opportunities faster than IT organizations can prepare for them.
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Hewlett Packard Enterprise
Published By: Dell EMC     Published Date: Feb 07, 2018
Digital transformation is the process of creating value, growth, and competitive advantage through new offerings, business models, and business relationships that are data centric and data driven. It’s about changing the way that business gets done. This transformation also places IT at the forefront when making strategic business decisions related to redefining business processes and operational efficiencies, shifting work and employee productivity, changing customer relationships, increasing buyer loyalty, and transforming product and service revenue streams. IDC believes that IT organizations must assume a critical role in the forthcoming digital reinvention by assuming the position of being a critical business innovation platform. Intel Inside®. Powerful Productivity Outside. Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.
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Dell EMC
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: Schneider Electric     Published Date: Apr 23, 2019
After buzzing Industry 4.0 all over the media by all OT and IT experts, today, a few key concepts seem to unveil the potential that the industry believes is behind Industry 4.0. These include: Smart Machines, Smart Factory, cyber physical systems, Everything-as-a-Service and a few technologies like OPC UA, cloud and data analytics. Clearly, they are the innovation drivers and must-haves for every vendor of automation products that want to be recognized as leaders or challengers. Sooner or later they will become standards and used by followers and niche players, but the key question for the market of automation suppliers is not who is first in developing and providing all the nice concepts and technologies, but who is creating and combining them in the right way so that they can be turned into new revenue streams. We keep in mind that competitive advantages can be achieved through increasing operational efficiency, but the better way is through strategic uniqueness. Companies which ar
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industry 4.0, iiot, smart machines, smart manufacturing, business models
    
Schneider Electric
Published By: Dell     Published Date: Feb 02, 2018
Digital transformation is the process of creating value, growth, and competitive advantage through new offerings, business models, and business relationships that are data centric and data driven. It’s about changing the way that business gets done. This transformation also places IT at the forefront when making strategic business decisions related to redefining business processes and operational efficiencies, shifting work and employee productivity, changing customer relationships, increasing buyer loyalty, and transforming product and service revenue streams. IDC believes that IT organizations must assume a critical role in the forthcoming digital reinvention by assuming the position of being a critical business innovation platform.
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Dell
Published By: MarkLogic     Published Date: Mar 13, 2015
Big Data has been in the spotlight recently, as businesses seek to leverage their untapped information resources and win big on the promise of big data. However, the problem with big data initiatives are that organizations try using existing information management practices and legacy relational database technologies, which often collapse under the sheer weight of the data. In this paper, MarkLogic explains how a new approach is needed to handle the volume, velocity, and variety of big data because the current relational model that has been the status quo is not working. Learn about the NoSQL paradigm shift, and why NoSQL is gaining significant market traction because it solves the fundamental challenges of big data, achieving better performance, scalability, and flexibility. Learn how MarkLogic’s customers are reimagining their data to: - Make the world more secure - Provide access to valuable information - Create new revenue streams - Gain insights to increase market share - Reduce b
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enterprise, nosql, relational, databases, data storage, management system, application, scalable
    
MarkLogic
Published By: MicroStrategy     Published Date: Jan 23, 2019
The MicroStrategy 2018 Global State of Enterprise Analytics Report, which surveyed 500 decision-makers from around the globe, reveals that leading organizations create a competitive edge through their use of data, with 63% experiencing improved efficiency and productivity, 57% realizing faster, more effective decision making, and 51% achieving better financial performance. Other top benefits include improved customer experiences, improved customer acquisition and retention, and the identification and creation of new revenue streams—all keys to digital transformation. What else did the 2018 report reveal? Read all the insights with both global and geo-specific views here. This infographic shares a few highlights from the new 44-page report which serves as a benchmarking resource for all data-driven organizations.
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MicroStrategy
Published By: MicroStrategy     Published Date: Apr 11, 2019
The MicroStrategy 2018 Global State of Enterprise Analytics Report, which surveyed 500 decision-makers from around the globe, reveals that leading organizations create a competitive edge through their use of data, with 63% experiencing improved efficiency and productivity, 57% realizing faster, more effective decision making, and 51% achieving better financial performance. Other top benefits include improved customer experiences, improved customer acquisition and retention, and the identification and creation of new revenue streams—all keys to digital transformation. What else did the 2018 report reveal? Read all the insights with both global and geo-specific views here. This infographic shares a few highlights from the new 44-page report which serves as a benchmarking resource for all data-driven organizations.
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MicroStrategy
Published By: Juniper Networks     Published Date: Aug 08, 2017
Cloud, social, big data, and the Internet of Things (IoT) are increasingly central to business decisions as the pace of digitization accelerates. The impact of software-defined networking (SDN), virtualization, and converged and hyperconverged infrastructure within the datacenter is substantial. These technologies add complexity but offer enticing opportunities for new business models, revenue streams, operating efficiencies, and agility that organizations must pursue if they want to remain competitive and viable. This pursuit requires businesses to keep up with current and emerging technologies and applications and transform the ways in which they conduct business. At the core of "keeping up" is an organization's datacenter strategy — with an associated technology and services strategy that will either create industry laggards or accelerate innovators.
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Juniper Networks
Published By: StreamSets     Published Date: Sep 24, 2018
If you’ve ever built real-time data pipelines or streaming applications, you know how useful the Apache Kafka™ distributed streaming platform can be. Then again, you’ve also probably bumped up against the challenges of working with Kafka. If you’re new to Kafka, or ready to simplify your implementation, we present common challenges you may be facing and five ways that StreamSets can make your efforts much more efficient and reliable
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apache, kafka, steam, sets, data
    
StreamSets
Published By: Proofpoint     Published Date: Apr 22, 2010
This report summarizes the findings of Proofpoint's sixth-annual email security and data loss prevention study, including surprising statistics about how large companies manage the risks associated with outbound email, blog postings, media sharing sites, social networking sites, mobile Internet-connected devices and other electronic communications streams.
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proofpoint, outbound email, data loss prevention, email security, social networking, electronic messaging, mobile email
    
Proofpoint
Published By: CDW     Published Date: Apr 04, 2016
Data proliferation can be both a source of business opportunity as well as a tremendous burden. With Hewlett Packard Enterprise’s broad portfolio and deep expertise, businesses can securely and easily harness their data to gain actionable insights, create and monetize new revenue streams, and enable continuous improvement of existing lines of business.
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data management, business practices, data application, insights, business optimization
    
CDW
Published By: CDW-HPE Servers     Published Date: Apr 07, 2016
Data proliferation can be both a source of business opportunity as well as a tremendous burden. With Hewlett Packard Enterprise’s broad portfolio and deep expertise, businesses can securely and easily harness their data to gain actionable insights, create and monetize new revenue streams, and enable continuous improvement of existing lines of business.
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data management, business practices, data application, insights, business optimization
    
CDW-HPE Servers
Published By: AWS     Published Date: Apr 27, 2018
Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data can now be processed in memory, and more significantly, analyzed as it arrives, in real time. Millions to hundreds of millions of events (such as video streams or application alerts) can be collected and analyzed per hour to deliver insights that can be acted upon in an instant. From financial services to manufacturing, this rev
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AWS
Published By: Alcatel Lucent Enterprise     Published Date: Aug 31, 2017
Everyone expects wireless mobility that provides a high quality experience – but delivering that from arrival to departure in your transportation system is highly complex. Customers want the mobile services that make their life easier such as personalized promotions and navigation guides. Operators want to be able to handle more people, making the customer journey as secure and comfortable as possible, while reducing cost and risk. And all of this depends on the network.
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wayfinding, retail promotion, customer identification, analytics, data, automation, business streams
    
Alcatel Lucent Enterprise
Published By: HP     Published Date: Mar 31, 2015
No business is immune to the threat of IT downtime caused by natural and manmade disasters. Natural disasters—such as earthquakes, tsunamis, hurricanes, fires, and floods—can happen with little to no advanced warning. But the bigger risk is often human-induced events—from simple IT configuration errors to significant data center problems. If you lack a rock-solid disaster recovery (DR) plan, any of these unpredictable events—natural or manmade—could bring your business and its revenue streams to a halt. Yet many organizations are not well prepared for the unknown. The randomness of such events lulls people into a sense of false security—“That’s not likely to happen here.” While you can hope to avoid events that threaten the continuity of your business, the reality remains unchanged: Disasters happen—so you need to prepare for them. Are you prepared? Please download this eBook to find out!
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disaster recovery, natural disasters, data center, hackers, hardware failure, software failure, planning, disaster readiness
    
HP
Published By: IBM     Published Date: Apr 23, 2015
Banks face many challenges as they strive to return to pre-2008 profit margins including reduced interest rates, unstable financial markets, tighter regulations and lower performing assets. Fortunately, banks taking advantage of big data and analytics can generate new revenue streams. Watch this real-life example of how big data and analytics can improve the overall customer experience.
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ibm, big data, profit margins, regulations, analytics, customer experience, banking, bank
    
IBM
Published By: IBM     Published Date: Aug 05, 2014
There is a lot of discussion in the press about Big Data. Big Data is traditionally defined in terms of the three V’s of Volume, Velocity, and Variety. In other words, Big Data is often characterized as high-volume, streaming, and including semi-structured and unstructured formats. Healthcare organizations have produced enormous volumes of unstructured data, such as the notes by physicians and nurses in electronic medical records (EMRs). In addition, healthcare organizations produce streaming data, such as from patient monitoring devices. Now, thanks to emerging technologies such as Hadoop and streams, healthcare organizations are in a position to harness this Big Data to reduce costs and improve patient outcomes. However, this Big Data has profound implications from an Information Governance perspective. In this white paper, we discuss Big Data Governance from the standpoint of three case studies.
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ibm, data, big data, information, healthcare, governance, technology
    
IBM
Published By: SAS     Published Date: Jan 04, 2019
How can you open your analytics program to all types of programming languages and all levels of users? And how can you ensure consistency across your models and your resulting actions no matter where they initiate in the company? With today’s analytics technologies, the conversation about open analytics and commerical analytics is no longer an either/or discussion. You can now combine the benefits of SAS and open source analytics technology systems within your organization. As we think about the entire analytics life cycle, it’s important to consider data preparation, deployment, performance, scalability and governance, in addition to algorithms. Within that cycle, there’s a role for open source and commercial analytics. For example, machine learning algorithms can be developed in SAS or Python, then deployed in real-time data streams within SAS Event Stream Processing, while also integrating with open systems through Java and C APIs, RESTful web services, Apache Kafka, HDFS and more.
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SAS
Published By: IBM     Published Date: Feb 04, 2014
Explore the top five practices in today's customer-data-driven supply chain and examine the impact of using customer data on key supply chain metrics.
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ibm, aberdeen group, analytics report, customer data, data-driven, supply chain, best practices, social shopping, social networks, analyst insight, supply chain metrics, data streams, big data, data center, data analysis, industry demands, omni-channel environment, collaboration, social business, deployment trends
    
IBM
Published By: IBM     Published Date: Jul 07, 2015
In this book you will also learn how cognitive computing systems, like IBM Watson, fit into the Big Data world. Learn about the concept of data-in-motion and InfoSphere Streams, the world’s fastest and most flexible platform for streaming data.
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big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure, reliability
    
IBM
Published By: SAS     Published Date: Apr 16, 2015
The large array of connected devices, often referred to as the “Internet of Things” (IoT), is delivering an array of new data from the sensors they contain. This data offers the promise of new services, improved efficiency and, possibly, more competitive business models.
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SAS
Published By: Cisco     Published Date: Sep 15, 2015
IDC finds that leveraging data analytics in business decisions is becoming a top priority for an increasing number of companies. This in turn is placing new demands on IT organizations; the need is twofold: to manage new streams of unstructured data from sources such as social media and to speed response times to deliver real-time analytics.
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sap, analytics, data, real-time
    
Cisco
Published By: AWS     Published Date: May 18, 2018
We’ve become a world of instant information. We carry mobile devices that answer questions in seconds and we track our morning runs from screens on our wrists. News spreads immediately across our social feeds, and traffic alerts direct us away from road closures. As consumers, we have come to expect answers now, in real time. Until recently, businesses that were seeking information about their customers, products, or applications, in real time, were challenged to do so. Streaming data, such as website clickstreams, application logs, and IoT device telemetry, could be ingested but not analyzed in real time for any kind of immediate action. For years, analytics were understood to be a snapshot of the past, but never a window into the present. Reports could show us yesterday’s sales figures, but not what customers are buying right now. Then, along came the cloud. With the emergence of cloud computing, and new technologies leveraging its inherent scalability and agility, streaming data
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