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Ten Innovative Financial Services Applications Powered by Data Virtualization

Published By: TIBCO Software     Published Date: Aug 13, 2018
Every financial services firm understands the importance of data. More is better. Sooner is better. Accessing it, understanding it, and taking advantage of it before the competition is better. In the mid-2000s, Financial Services was the first industry to strongly adopt data virtualization as a disruptive, new technology for accessing and integrating more data, faster and more easily than ever before. Buy and sell side groups at the largest institutions led the charge, followed soon after by risk management and compliance units. The leading mutual fund providers, along with hedge funds, led the next wave of adoption. In recent years, commercial banks and insurers have accelerated their use of data virtualization. And today, analyst firms such as Gartner, Inc. and Forrester project continued data virtualization adoption for both first-time use at new firms and expanded deployments at existing sites. This whitepaper provides 10 examples of TIBCO Data Virtualization enabled application
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TIBCO Software

Ten Innovative Financial Services Applications Powered by Data Virtualization

Published By: TIBCO Software     Published Date: Feb 26, 2019
Every financial services firm understands the importance of data. More is better. Sooner is better. Accessing it, understanding it, and taking advantage of it before the competition is better. In the mid-2000s, Financial Services was the first industry to strongly adopt data virtualization as a disruptive, new technology for accessing and integrating more data, faster and more easily than ever before. Buy and sell side groups at the largest institutions led the charge, followed soon after by risk management and compliance units. The leading mutual fund providers, along with hedge funds, led the next wave of adoption. In recent years, commercial banks and insurers have accelerated their use of data virtualization. And today, analyst firms such as Gartner, Inc. and Forrester project continued data virtualization adoption for both first-time use at new firms and expanded deployments at existing sites. This whitepaper provides 10 examples of TIBCO Data Virtualization enabled applications f
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TIBCO Software

Teradata Webinar: Close the Data Science Gap: Discover New Value with Big Analytic Apps

Published By: Teradata     Published Date: Oct 15, 2012
Does your organization struggle to get new business insights from all data types with rapid exploration?
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data scientists, analyst, statistician, quants, quantitative analyst, scientist, data science, business technology
    
Teradata

The Changing Face of Online Banking and Financial Fraud

Published By: Iovation     Published Date: Aug 02, 2019
Account takeover. Synthetic identities. The security risks that financial services and online merchants face are endless, and the fraud landscape is changing dramatically. You not only need to be aware of how it’s evolving, but how to address these threats, protect your customers and your brand. iovation has analyzed data from our consortium made up of six billion devices seen, 55 million fraud reports, and thousands of fraud analysts to determine the most significant fraud trends and what you can do to combat them.
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Iovation

The Chief Digital Officer’s Guide to Digital Transformation

Published By: CA Technologies EMEA     Published Date: May 23, 2018
Today, digital is everywhere—cloud, mobile, social and the Internet of Things are changing the way we all work and play. This rapidly evolving digital world is also redefining the relationship between your business and your customers, who now expect a convenient, interactive experience from their preferred brands. Security is also a concern. Risk is rising, as both the enterprise and its customers exchange a growing amount of sensitive data. This transformation is also amplifying competition. As analyst Mark Raskino notes, “As a consequence, all players rebuilt their strategies around the same time, and all have awakened to the power of digital business at the same time. Contention is therefore inevitable.” To find out more download this whitepaper today!
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CA Technologies EMEA

The Convergence Of Reputational Risk and IT Outsourcing

Published By: IBM     Published Date: Oct 10, 2013
Today, your company's digital presence is your reputation and your brand. But websites and other IT assets are vulnerable to security breaches, downtime and data loss—all of which can negatively affect your reputation and competitive position. Read this paper, commissioned by IBM with leading analyst Forrester to learn how IT security decision makers across the globe are doing more with less by outsourcing key security tasks.
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reputational risk, it outsourcing, it security, security, risk, security breach, digital presence, it assets, protection, safeguarding, outsourcing, risk management, data loss, data loss prevention, global it solutions, best practices, enterprise resource planning, it spending, return on investment
    
IBM

The Definitive Guide to Data Blending

Published By: Alteryx, Inc.     Published Date: Apr 21, 2017
Analysts struggle to incorporate new sources of data into their analysis because they rely on Microsoft Excel or other tools that were not designed for data blending. Deleting columns, parsing data, and writing complicated formulas to clean and combine data every time it changes is not an efficient way for today’s analysts to spend their time. Download The Definitive Guide to Data Blending and: Understand how analysts are empowered through data blending Learn how to automate time-consuming, manual data preparation tasks Gain deeper business insights in hours, not the weeks typical of traditional approaches
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Alteryx, Inc.

The Definitive Guide to Preparing Your Data for Tableau

Published By: Alteryx, Inc.     Published Date: Sep 07, 2017
If you are like many data analysts you spend most of your time preparing data – leaving you less time to visualize data.
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Alteryx, Inc.

The Definitive Guide to Self-Service Data Analytics

Published By: Alteryx, Inc.     Published Date: Apr 21, 2017
The traditional multiple-step, multi-tool legacy approach is a slow, time-consuming, and in most cases, a costly process that prevents organizations from making faster decisions with confidence. Data analysts today need an agile solution that empowers them to take charge of the entire analytics process. Download The Definitive Guide to Self-Service Data Analytics to: Understand why traditional analytic tools designed for data scientists are not ideal for data analysts like you Learn how self-service data analytics delivers the ease of use, speed, flexibility, and scalability you require See how Alteryx stacks up against traditional data prep and analytics tools
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Alteryx, Inc.

The Definitive Guide to Self-Service Data Analytics

Published By: Alteryx, Inc.     Published Date: Sep 06, 2017
According to Forrester, the level of analytic satisfaction within organizations is on the decline.* The traditional multiple-step, multi-tool legacy approach is a slow, time-consuming, and in most cases, a costly process that prevents organizations from making faster decisions with confidence. Data analysts today need an agile solution that empowers them to take charge of the entire analytics process. Download The Definitive Guide to Self-Service Data Analytics to: Understand why traditional analytic tools designed for data scientists are not ideal for data analysts like you Learn how self-service data analytics delivers the ease of use, speed, flexibility, and scalability you require See how Alteryx stacks up against traditional data prep and analytics tools Find out how self-service data analytics bridges the gap across skills, speed, and depth of analysis to empower you to achieve ever-greater insights without coding or depending on other departments.
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Alteryx, Inc.

The Importance of Foundational Security in Public Sector Networks

Published By: Cisco     Published Date: Dec 21, 2016
Across organizations from all sectors, the network is becoming more integral to daily operations. This is acutely felt by public sector organizations in the United States, namely federal, state, and local governmental organizations. Public sector organizations contend with the challenge of ensuring the security of highly sensitive data on the network in the midst of uncertain budgets and, in many cases, outdated infrastructure. At the same time, many public sector organizations grapple with a complex web of compliance protocols that must be supported on the network. This Analyst Connection explores the need for network infrastructure upgrades that include "foundational security."
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Cisco

The Practitioner's Guide to Data Profiling

Published By: DataFlux     Published Date: Jan 07, 2011
This white paper addresses data profiling techniques that can help the analyst understand the empirical truth associated with enterprise data.
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dataflux, data profiling, enterprise data, analyst, data rule validation, metadata compliance, identity management, business analytics, enterprise software, database development
    
DataFlux

The Relevancy Ring ESP Buyer's Guide 2018

Published By: Adobe     Published Date: Oct 24, 2018
The report combines data from a February 2018 executive survey of 401 email marketers and documented ESP demos related to three key themes. We also utilized vendor questionnaires and our near two-decades of knowledge of the providers in this sector. One-on-one phone interviews with several of the marketers who use these tools and our executive survey clients provided satisfaction data. The methodology details our entire recipe, but readers can feel confident in knowing that our vendor evaluation process is objective and does not stem from one analyst’s singular point of view. This guide also includes our analysis and perspective on vendors that did not for a variety of reasons participate in this research.
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Adobe

The Untapped Power of Self-Service Data Analytics

Published By: Alteryx, Inc.     Published Date: Apr 21, 2017
Data Analytics has become critical for many business decision makers. However, many of these managers and data analysts still rely on spreadsheets and other legacy-era tools that fall far short of current needs. As a result, they also rely heavily on a virtual army of data specialists and scientists, working under the auspices of a centralized analytics group, to prepare, blend, analyze, and even report on the critical data they need for decision making. Download this new paper to get the details behind self-service data analytics, and how it lets business analysts: Take charge of the entire analytical process, instead of relying on other departments Overcome limitations of legacy tools to save time and prevent errors Make more comprehensive and insightful business decisions at speed
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Alteryx, Inc.

Think Big Data, Think Amazon Web Services

Published By: Amazon     Published Date: Nov 07, 2013
Until recently, it has been far cheaper and easier to produce and store data than to process it. Companies have the option to buy large, multi-million dollar hardware devices to process their big data, but with budgets under pressure and no clear way to calculate returns on investment, the business case is difficult to make… And when analysts explain to the CTO that they only need the hardware for six months, for one day a week, or for one hour a day, the investment becomes impossible to justify. In this whitepaper, you’ll learn how by eliminating the traditionally high ‘cost of entry’ for big data analysis, Amazon Web Services is enabling customers to convert more raw data into more valuable business insight.
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amazon web services, aws, aws cloud, cloud services, cloud computing, big data, data management, data analysis, insights, customer sentiment, big data analysis, web service management, business technology
    
Amazon

Through the Looking Glass Table, Issue # 1: Who Spilled the Data?

Published By: Splunk     Published Date: Aug 21, 2018
Alice Bluebird, a quirky security analyst for hire, is hunting down a nation state of hackers thirsty for the recipes of Frothly, a cutting-edge craft brewery. Follow Alice as she works to solve the mystery of the breach. Did she catch the incident before the hackers managed to steal Frothly’s super secret formulas? Did the hackers act alone or — scarier yet In this light hearted graphic novel “Through the Looking Glass Table”, discover how machine data, as well as an analytics-driven platform, log management, SIEM, UEBA and SOAR solutions, can help anyone — IT managers and sophisticated SOC analysts — better understand and respond to incidents, breaches, phishing attempts, insider threats and more.— did they have help from the inside?
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Splunk

Top BI Analytics Tools 2017—Expert Reviews & Pricing

Published By: Select Hub     Published Date: Nov 07, 2017
Interactive analyst report gives you comparison ratings, reviews and pricing from actual software selection projects. Unlike some ratings, SelectHub product scores are taken from multiple sources including top analysts and actual buyers of the software—ideal for your shortlist. Find the right BI analytics tools: • Actionable insights from experts: In plain language, find out how each product supports the functions that matter most to your company. • Key requirements criteria: Get a comprehensive list of the key requirements for use in your software evaluation and vendor selection. • Easy pricing: Get recommendations and pricing for solutions matching your business needs. • Includes practical guide: How to Buy Business Intelligence Software Over 80 business analytics and BI tools evaluated. The SelectHub platform contains expert software analysis across key criteria and vendor data. These built-in analyst ratings are combined with subjective user ratings to create SelectHub ratings r
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Select Hub

Toward frictionless data discovery: IBM Fluid Query eases the way

Published By: IBM     Published Date: Jan 27, 2017
In today’s highly distributed, multi-platform world, the data needed to solve any particular decision making need is increasingly likely to be found across a wide variety of sources. As a result, traditional manual approaches requiring prior collection, storage and integration of extensive sets of data in the analyst’s preferred exploration environment are becoming less useful. Data virtualization, which offers transparent access to distributed, diverse data sources, offers a valuable alternative approach in these circumstances.
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IBM

Turning Customer Insight into Action: Its not just the data, but how you use it that matters

Published By: TIBCO Software     Published Date: Aug 13, 2018
Whilst businesses of all kinds are utilizing data analytics, many are still only using it to make simple changes that lead to a set of rigid processes. Whereas the more customer-focused organizations are realizing that to deliver exceptional experiences, they need to be able to react to customer data in real-time and predict what might happen next. And that means going beyond simple analytics. Read our whitepaper to discover what analyst firm Forrester has identified as the Enterprise Insight Platform, technology designed to enable companies to transform into truly data-driven businesses.
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TIBCO Software

Unifying Analytics Across Warehouse, Lake and Into the Cloud

Published By: Gigaom     Published Date: Sep 16, 2019
We’ve heard it before. A data warehouse is a place for formally-structured, highly-curated data, accommodating recurring business analyses, whereas data lakes are places for “raw” data, serving analytic workloads, experimental in nature. Since both conventional and experimental analysis is important in this data-driven era, we’re left with separate repositories, siloed data, and bifurcated skill sets. Or are we? In fact, less structured data can go into your warehouse, and since today’s data warehouses can leverage the same distributed file systems and cloud storage layers that host data lakes, the warehouse/lake distinction’s very premise is rapidly diminishing. In reality, business drivers and business outcomes demand that we abandon the false dichotomy and unify our data, our governance, our analysis, and our technology teams. Want to get this right? Then join us for a free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and special guest, Dav
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Gigaom

Unlocking Customer Insights with Machine Learning

Published By: Q2 eBanking     Published Date: Jul 30, 2017
Many financial institutions see their customer data as one of their most valuable assets. Unlocking insights from that data helps FIs understand, anticipate and offer account holders the products and services they truly need. A major trend to unlocking customer insights is using machine learning to surface the behavioral intelligence buried in the large amount of account holder transactional data captured each and every day. In this paper, learn how a group of talented, enthusiastic analysts with an open approach to data can yield some very interesting and extremely valuable and actionable results. This approach, championed by Q2 Executive Vice President and CTO Adam Anderson, has led to a new platform, Q2 SMART, which provides powerful behavioral analytics for financial institutions, enabling growth while providing account holders with real value.
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Q2 eBanking

Unlocking the Power of Analytics with an Always-on Data Lake

Published By: IBM     Published Date: Nov 30, 2017
Analyst firm, Enterprise Strategy Group, examines how companies can leverage cloud-based data lakes and self-service analytics for timely business insights that weren’t possible until now. And learn how IBM Cloud Object Storage, as a persistent storage layer, powers analytics and business intelligence solutions on the IBM Cloud. Complete the form to download the analyst paper.
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analytics, technology, digital transformation, data lake, always-on data lake, ibm, cloud-based analytics
    
IBM

Upload Excel Data to SAP: 7 Best Practices

Published By: Winshuttle     Published Date: Dec 04, 2006
This paper describes 7 best practices that many companies have adopted in automating the upload of Excel data into SAP. Adopting these best practices will alleviate many of the pains that business users and IT analysts face in uploading Excel data to SAP.
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excel, sap, spreadsheet, spreadsheets, best practice, best practices, sap data, data entry, data management, data upload, winshuttle, platforms, analytical applications
    
Winshuttle

Video Brief: Data Protection Appliances

Published By: Arcserve     Published Date: May 29, 2015
Find out what you need to know about data protection appliances in this video brief by the Enterprise Strategy Group’s Sr. Data Protection Analyst, Jason Buffington. In this short video he’ll analyze: -Various types of data protection appliances -Market trends regarding appliance adoption -What data protection specialists expect from appliances -How Arcserve has evolved to solve the issues of today’s complex organizations Watch this video brief today!
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data protection appliances, appliance adoption, arcserve, security, it management, knowledge management, data management
    
Arcserve

What is Cyber Threat Analysis?

Published By: IBM     Published Date: Jul 27, 2016
IBM i2 Enterprise Insight Analysis helps analysts and investigators turn large data sets into comprehensive intelligence, in near real-time. With the help of advanced analytics and visual analysis capabilities, analysts can uncover hidden connections, patterns and trends buried in disparate data. Equip analysts and those on the front line with the tools they need to generate actionable intelligence, with mission critical speed.
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ibm, cyber threat analysis, ibm i2 enterprise insight analysis, cyber security, business intelligence, security, business technology
    
IBM
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