data analytics

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By: IBM     Published Date: May 19, 2015
Predictive analytics is within easy reach for all enterprises if they choose the right big data predictive analytics solution to meet their needs.
Tags : predictive analytics, predictive analytics solutions, big data, enterprise. advanced analytics, application development
     IBM
By: Aberdeen Group     Published Date: Nov 13, 2015
This report examines the pressing need to break down data silos due to the damage they cause to analytical initiatives and user engagement. Read this report to find out more.
Tags : customer acquisition, marketing leads, marketing challenges, marketing messages, contact management, data science, demand generation, email marketing, inbound marketing, lead generation, lead intelligence, market research, integrated marketing, lead nurturing, marketing analytics
     Aberdeen Group
By: FICO     Published Date: Jun 07, 2016
As any line of business (LOB) leader knows, making customer level decisions that balance risk and profit just keeps getting harder. And even when you think you have the right decisions, turning them into actions can be even trickier. You also need to consider the factors that make smart decisions difficult. Big data. Regulations. Customers who want an offer, fast, or else you’re going to lose them.
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     FICO
By: ArborNetworks     Published Date: Feb 12, 2016
Ask any cybersecurity professional and she’ll tell you that her job is getting increasingly difficult. Why? Most will point to a combination of the dangerous threat landscape, IT complexity, and their overwhelming workload. These issues are driving a major transition in enterprise security. Large organizations must move beyond a threat prevention mentality to become proactive cyber-¬-attack “hunters” that constantly monitor their networks for signs of trouble. This shift to proactive hunting will require new technologies that collect, process, and analyze massive amounts of security data, offer intelligent security analytics for real-¬-time incident detection, integrate threat intelligence to align suspicious internal activities with external threats, and provide analysts with the right data analytics features to query and manipulate data for historical investigations.
Tags : arbor networks, enterprise, cyber attack, network, data, security, business technology
     ArborNetworks
By: Qlik     Published Date: Oct 13, 2015
Business intelligence and analytics leaders must re-evaluate and evolve the capabilities of their teams to ensure that they can leverage bimodal work practices to engage, communicate and adapt to new developments in business analytics, including diagnostic and predictive analytics.
Tags : qlik, data discovery, business intelligence, analytics, user produced content, cloud, social, data visualization, bimodal work practices, predictive analytics, data management, business technology, data center
     Qlik
By: Qlik     Published Date: Oct 13, 2015
Data discovery appeals strongly to business users, but some business intelligence leaders are reluctant to ensure adoption. Data discovery is filling the gap between traditional BI and advanced analytics, and this research explains why and how BI leaders should support its use.
Tags : qlik, data discovery, business intelligence, analytics, user produced content, data management, business technology
     Qlik
By: Microsoft Office 365     Published Date: Nov 15, 2016
Download the free A to Z eBook to learn more about data security, employee productivity, IT Support and cost. Also, see how the competition measures up against Office 365. Here are a few must-knows when it comes to Office 365: Data compliance out of the box. Built-in security and privacy features; meets key industry standards and supports FERPA, HIPPAA and EU. Online or offline across all devices. Whether you are in the office or on the go, Office applications let you create, edit and share from your PC/MAC or your iOS, Android™ or Windows device with anyone in real time. Work off a single platform and eliminate third-party apps. With our suite of apps, such as Enterprise Content Management, Cloud PBX, and Microsoft MyAnalytics, you can trust that a single vendor is providing you the tools you need to get work done.
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     Microsoft Office 365
By: SAP     Published Date: Jan 15, 2016
Managing state government often requires impassioned debate about the best way to allocate resources, deliver services to citizens and build budgets that reflect elected leaders’ and citizens’ priorities. The State of Indiana is bringing data-driven insights to these discussions through its use of analytics.
Tags : sap, government, analytics, data
     SAP
By: IBM     Published Date: Jul 08, 2016
What is the total economic impact of IBM Datacap? This Forrester paper examines the total economic impact and potential ROI that enterprises may realize and provides a framework for how to measure financial impact in their organizations.
Tags : ibm, forrester, forrester report, total economic impact, tei, ibm datacap, analytics, networking, software development, enterprise applications
     IBM
By: IBM     Published Date: Jul 20, 2016
Big data. We've heard the phrase for quite some time, but how can human resource leaders get into the action? One way is through the development and implementation of talent analytics strategies. Talent analytics is fundamentally changing the way organizations and practitioners are thinking about the role of HR and organizations uncovering never before seen insights.
Tags : ibm, talent acquisition, talent acquisition technology, human resources, recruiting, human resource technology
     IBM
By: IBM     Published Date: Aug 04, 2016
IBM BigInsights is ready to help Quest Diagnostics Inc. ingest, normalize and analyze huge data-sets, delivering new insight into clinical outcomes for physicians, hospitals, and millions of patients.
Tags : ibm, analytics, myaa, quest diagnostics, case study, data analytics, data insight, big data, knowledge management, enterprise applications, data management, business technology, data center
     IBM
By: IBM     Published Date: Oct 13, 2016
Nowadays, organizations need top-notch technologies to attract top talent, support their recruiters, and empower their organizations to grow. Thankfully, data analytics, open talent acquisition suites, talent communities, mobile optimization, and more are readily available and can enhance experiences for both candidates and recruiters while providing insight on HR for business leaders. But refreshing talent acquisition isn't just about technology; it's also about realigning its definition to the demands and expectations of the twenty-first century.
Tags : ibm, recruiting, talent acquisition, talent acquisition technology, human resource technology, business technology
     IBM
By: IBM     Published Date: Oct 13, 2016
In the era of big data, you must accommodate a rapidly increasing volume, variety and velocity of data while extracting actionable business insight from that data, faster than ever before. Download this white paper to learn how.
Tags : database, big data, analytics, infrastructure, data management, data center
     IBM
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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     AWS
By: AWS     Published Date: Sep 04, 2018
Today’s businesses generate staggering amounts of data, and learning to get the most value from that data is paramount to success. Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on-demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics.
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     AWS
By: AWS     Published Date: Sep 04, 2018
Just as Amazon Web Services (AWS) has transformed IT infrastructure to something that can be delivered on demand, scalably, quickly, and cost-effectively, Amazon Redshift is doing the same for data warehousing and big data analytics. Redshift offers a massively parallel columnar data store that can be spun up in just a few minutes to deal with billions of rows of data at a cost of just a few cents an hour. It’s designed for speed and ease of use — but to realize all of its potential benefits, organizations still have to configure Redshift for the demands of their particular applications. Whether you’ve been using Redshift for a while, have just implemented it, or are still evaluating it as one of many cloud-based data warehouse and business analytics technology options, your organization needs to understand how to configure it to ensure it delivers the right balance of performance, cost, and scalability for your particular usage scenarios. Since starting to work with this technology
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     AWS
By: Veritas     Published Date: Jan 03, 2019
The digital business continues to evolve. Investments in data analytics projects lead the way while traditional, proprietary infrastructures are being disrupted by cloud, open source and hyperconverged paradigms. These changes are forcing IT leaders to contend with greater workload diversity in the midst of tightening budgets. And while the workload [or] IT landscape is changing, the need for reliable data protection remains as crucial as ever to protect against, data corruption, human error, and malicious threats such as ransomware. Learn how Veritas can help you navigate through these obstacles. Join us to hear experts from ESG and Veritas discuss how the right data protection solution today can prepare you for tomorrow's business demands. You will learn: The key trends that are driving change in the digital business The most common causes of data loss in tomorrow’s multi-cloud data centers How to protect an increasingly diverse environment with minimal operational overhead
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     Veritas
By: GE Power     Published Date: Oct 05, 2016
With any innovation, early adopters forge the path forward, testing the limits of new technology, proving solutions that deliver value and dispensing those that don’t. Each power organization approaches the use of data and analytics from their own point of reference, technology maturity and propensity for change. In this eBook, learn how 14 global power companies achieved real business results for their business with digital solutions.
Tags : digital power plant, digital power, digital power station, distributor solution, efficiency of power generation, industrial power
     GE Power
By: GE Power     Published Date: Feb 02, 2017
With any innovation, early adopters forge the path forward, testing the limits of new technology, proving solutions that deliver value and dispensing those that don’t. Each power organization approaches the use of data and analytics from their own point of reference, technology maturity and propensity for change. In this eBook, learn how 14 global power companies achieved real business results for their business with digital solutions.
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     GE Power
By: GE Power     Published Date: Feb 02, 2017
From balancing asset life and performance to managing variations in market conditions and fuel costs, power leaders everywhere are using data and analytics as a strategic asset to drive efficiencies and increase profitability for their business.
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     GE Power
By: IBM     Published Date: Mar 30, 2017
In today’s competitive on-line world, the speed of change in customer behaviour is increasing. In addition, in industries such as retail banking, car insurance and to some extent retail, the Internet has become the dominant way in which customers interact with an organisation. Yet in many data warehouses today, being able to analyse customer on-line behaviour is often not possible because the clickstream web log data needed to do this is missing. It is a key point because customer access to the web has made loyalty cheap.
Tags : cyber attacks, data protection, it security, security solutions, system protector, web security, analytics
     IBM
By: IBM     Published Date: Apr 18, 2017
Companies in all industries can benefit from a master data management program, advises MDM expert Anne Marie Smith. Learn how to enhance yours.
Tags : data analytics, product refinement, business exploration, advanced prototyping, analytics, data preparation, customer support, sales relations, market research, model management
     IBM
By: IBM     Published Date: Oct 16, 2017
This white paper examines how some of the ways organizations use big data make their infrastructures vulnerable to attack. It presents recommended best practices organizations can adopt to help make their infrastructures and operations more secure. And it discusses how adding advanced security software solutions from IBM to their big-data environment can fill gaps that big-data platforms by themselves do not address. It describes how IBM® Security Guardium®, an end-to- end solution for regulatory compliance and comprehensive data security, supports entitlement reporting; user-access and activity monitoring; advanced risk analytics and real-time threat detection analytics; alerting, blocking, encryption and other data protection capabilities, as well as automated compliance workflows and reporting capabilities, to stop threats.
Tags : security, big data, ibm, data protection
     IBM
By: CrowdStrike     Published Date: Feb 01, 2017
One of the biggest challenges to effectively stopping breaches lies in sifting through vast amounts of data to find the subtle clues that indicate an attack is imminent or underway. As modern computer systems generate billions of events daily, the amount of data to analyze can reach petabytes. Compounding the problem, the data is often unstructured, discrete and disconnected. As a result, organizations struggle to determine how individual events may be connected to signal an impending attack. Download the white paper to learn: • How to detect known and unknown threats by applying high-volume graph-based technology, similar to the ones developed by Facebook and Google • How CrowdStrike solved this challenge by building its own proprietary graph data model • How CrowdStrike Threat Graph™ collects and analyzes massive volumes of security-related data to stop breaches
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     CrowdStrike
By: Dassault Systèmes     Published Date: Jun 19, 2018
This white paper outlines a framework that emphasizes digitization and business transformation and the new opportunities pull processes bring. The mechanism of “Pull” processes—those triggered by an actual event instead of a forecast—is nothing new. It is at the heart of many successful manufacturing strategies. Recent technological advances in digitization, including the harnessing of Big Data analytics, the use of the cloud, Business Process Management (BPM), social media, IIoT, and mobility, have extended the power of Pull beyond Lean manufacturing. In the wake of the current technological innovation wave, it is not uncommon for manufacturers to not know what next step to take. In light of these new developments, this white paper will focus on the mechanism of business transformation enabled by these technologies, which can be attributed to two major forces: the power of Pull and digitization. Nine practical applications are detailed, showing how innovative manufacturers can better
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     Dassault Systèmes
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