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Published By: Akamai Technologies     Published Date: May 05, 2017
Web applications are valuable tools for businesses of all sizes. These applications enable businesses to communicate with customers, prospects, employees, partners, and other information technology (IT) systems. By definition, web applications must be open, interactive, and accessible at all times.. This report, authored by Frost & Sullivan analysts, takes a comprehensive look at the current Web Application Firewall (WAF) vendor landscape and analyzes the current web application threat landscape and how vendors will scale to face it.
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web applications, waf, ips
    
Akamai Technologies
Published By: SAS     Published Date: Nov 04, 2015
If you are working with massive amounts of data, one challenge is how to display results of data exploration and analysis in a way that is not overwhelming. You may need a new way to look at the data – one that collapses and condenses the results in an intuitive fashion but still displays graphs and charts that decision makers are accustomed to seeing. And, in today’s on-the-go society, you may also need to make the results available quickly via mobile devices, and provide users with the ability to easily explore data on their own in real time. SAS® Visual Analytics is a data visualization and business intelligence solution that uses intelligent autocharting to help business analysts and nontechnical users visualize data. It creates the best possible visual based on the data that is selected. The visualizations make it easy to see patterns and trends and identify opportunities for further analysis.
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data visualization, sas, big data, visual analytics, data exploration, analysis, networking, knowledge management, data management
    
SAS
Published By: Sage EMEA     Published Date: Jan 29, 2019
Transform your finance operations into a strategic, data-driven engine Data inundation and information overload have burdened practically every largescale enterprise today, providing great amounts of detail but often very little context on which executives can act. According to the Harvard Business Review,1 less than half of an organisation’s structured data is actively used in making decisions. The burden is felt profoundly among finance executives, who increasingly require fast and easy access to real-time data in order to make smart, timely, strategic decisions. In fact, 80% of analysts’ time is spent simply discovering and preparing data, and the average CFO receives information too late to make decisions 24% of the time.2
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Sage EMEA
Published By: HP - Enterprise     Published Date: Jun 05, 2013
When asked how important technology is to driving innovation in their organizations, 100 percent of CEOs indicated it was important, with 80 percent pointing out that it’s very important, according to HP sponsored research. Even CIOs agree with their CEOs. According to the same research, when asked whether or not technology will be the innovation engine or administrative engine for a business or government, approximately two out of three CEOs said it would be the “innovation engine.” This represents a significant shift in the role that technology is playing in enterprises. Today, organizations demand new applications and more functionality delivered more quickly, and at a lower cost than ever before. Many organizations either want a mobile application or are already using one. In fact, according to analysts, by 2016 350 million employees will use smartphones at work and businesses will increase spending on mobile projects over 100 percent in the same time.
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mobile, cloud, applications, apps, mobile apps
    
HP - Enterprise
Published By: Liaison Technologies     Published Date: Nov 21, 2011
In this whitepaper, we describe how executive and IT management can get and maintain control of their company's data architecture to help meet business objectives. We describe the relationship between data integration projects and data architecture concepts and practices. We describe how the business planning and IT development processes that direct and leverage data integration projects depend on tooling. We describe breakthrough ways in which data architects, business analysts, programmers, and business users can collaborate to address their organization's pressing business challenges.
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enterprise, soa, technology, liaison, business, data integration, data architecture, it management
    
Liaison Technologies
Published By: Group M_IBM Q1'18     Published Date: Dec 19, 2017
Effectively using and managing information has become critical to driving growth in areas such as pursuing new business opportunities, attracting and retaining customers, and streamlining operations. 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. These needs create a daunting array of workload challenges and place tremendous demands on your underlying IT infrastructure and database systems. This e-book presents six reasons why you should consider a database change, including opinions from industry analysts and real-world customer experiences. Read on to learn more.
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database, streamlining, it infrastructure, database systems
    
Group M_IBM Q1'18
Published By: Datawatch     Published Date: Feb 03, 2016
Some companies estimate that up to 80 percent of their analysts’ time is spent on data preparation. Thorough, automated data preparation, however, can quickly transform raw information into reliable, consistent data sets ready for analysis. This report from Gartner details why information management and business analytics leaders must introduce data preparation into their big data initiatives in order to improve both the understanding of the data, and the productivity of analysts. Read the report now to learn more.
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datawatch, data preparation, data analytics, data analysis, analyst productivity, information management, business analytics, big data
    
Datawatch
Published By: Alteryx, Inc.     Published Date: Apr 21, 2017
As a financial services provider, you have probably invested hundreds of thousands, if not millions of dollars, in building an analytic infrastructure. But, do your line-of-business analysts and managers have access to the data and insights they need, when they need them? Three ways Alteryx can help you improve customer experience, manage risk and increase operational efficiency Case studies on how your peer financial services companies are using self-service data analytics for a competitive edge
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Alteryx, Inc.
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.
Published By: Sage Software     Published Date: Jun 20, 2018
Data inundation and information overload have burdened practically every largescale enterprise today, providing great amounts of detail but often very little context on which executives can act. According to the Harvard Business Review, less than half of an organization’s structured data is actively used in making decisions. The burden is felt profoundly among finance executives, who increasingly require fast and easy access to real-time data in order to make smart, timely, strategic decisions. In fact, 80% of analysts’ time is spent simply discovering and preparing data, and the average CFO receives information too late to make decisions 24% of the time.
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sage enterprise management, bms, erp, bom, enterprise accounting, enterprise intelligence, drp, enterprise, mrp
    
Sage Software
Published By: Datarobot     Published Date: May 14, 2018
The DataRobot automated machine learning platform captures the knowledge, experience, and best practices of the world’s leading data scientists to deliver unmatched levels of automation and ease-of-use for machine learning initiatives. DataRobot enables users of all skill levels, from business people to analysts to data scientists, to build and deploy highly-accurate predictive models in a fraction of the time of traditional modeling methods
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Datarobot
Published By: SAS     Published Date: May 24, 2018
Constant market shifts and changing customer preferences add to the challenge of outperforming your competitors and surpassing stakeholder expectations. But what can be done to steer your organization down the path to greater success? By now, we all know it’s not just historical reporting about the past that will provide the answers needed to drive a business forward. Everyone – from executives and analysts to frontline staff – must have access to insights about the future that will enable them to make the best decisions and take the actions needed to keep their organizations agile. This means the ability to peer into data, explore it, understand it, analyze it and produce insights that provide those aha moments and take actions on it. Such things cannot be done with multiple tools that are rigid, limiting and difficult to use. A new breed of business intelligence is required. Gone are the days when reports looked at singular issues, took possibly days or weeks to create, and required
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SAS
Published By: FICO     Published Date: Jan 11, 2018
Many organizations consider optimization only for their largest or most challenging business problems, often utilizing a small number of Operations Research professionals. But in our age of Big Data, market globalization and increased competition, many organizations are successfully making the case that optimization can be applied to a wider variety of business and operational decisions, and be developed by a new group of users — the organization’s business analysts. With a proven track record of results demonstrating that organizations can increase profitability with business analysts applying optimization to many types of business problems, FICO’s proven development methodology is giving organizations the confidence to extend optimization practices across their enterprises.
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business analyst, optimization, fico, partnership, credit, collections, banking, finance
    
FICO
Published By: apperian     Published Date: Apr 13, 2012
With more mobile workers using personal smartphones and tablets to conduct business, 2011 is being heralded as the year of mobile apps in the enterprise. The benefits of mobile apps initiatives will far outweigh the challenges of getting them into the enterprise, in the form of increased work productivity and customer response, analysts say.
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apperian, technology, enterprise applications, mobile device, wireless communication, mobile management, business technology
    
apperian
Published By: AWS     Published Date: Nov 15, 2018
It isn’t always easy to keep pace with today’s high volume of data, especially when it’s coming at you from a diverse number of sources. Tracking these analytics can place a strain on IT, who must provide the requested information to C-suite and analysts. Unless this process can happen quickly, the insights grow stale. Download your complimentary ebook now to see how Matillion ETL for Amazon Redshift makes it easy for technical and business users alike to participate and own the entire data and analysis process. With Matillion ETL for Amazon Redshift, everyone from CTOs to marketing analysts can generate valuable business intelligence by automating data and analytics orchestrations.
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AWS
Published By: Scribe Software     Published Date: Apr 16, 2012
The What, Why & How of CRM Integration This report contains insights from C-level executives, business analysts and IT engineers, and systems integrators and consultants who design and implement data integration for their enterprise clients.
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scribe, crm, integration, data integration, public cloud, private cloud, cloud, integration, integrate, platforms, collaboration, collaborate, social, secure, scalable, erp, crm-erp, application integration, data, dynamcis
    
Scribe Software
Published By: Salesforce.com     Published Date: Feb 12, 2014
The nature of today’s business climate means that now, more than ever, companies look for any business advantage that helps them stay ahead of the competition. Often, that means companies take such steps as creating innovative products, increasing and maintain customer loyalty, and implementing cost-control measures to realize distinct advantages. Leading industry analysts point to two areas internally where companies can achieve the best possible advantages, by focusing on a company’s workers and work processes.
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it service management, cloud platform, collaboration, it service management, saas, it help desk, productivity, it assistance, remedy force bmc, salesforce
    
Salesforce.com
Published By: IBM     Published Date: Dec 09, 2008
Watch an overview of IBM Information Server FastTrack, a revolutionary new module of the IBM Information Server. IBM Information Server FastTrack was designed to help enterprises of all sizes maximize team collaboration, facilitate automation and help ensure projects are completed successfully and on time. By creating an integrated environment that includes business analysts, developers and data modelers, Information Server FastTrack accelerates collaborative development across user roles, products and geographies.
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ibm, fasttrack, ibm information server, server fasttrack, data integration projects, project completion, ibm information server fasttrack, process automation, storage
    
IBM
Published By: SAP     Published Date: Jul 17, 2012
A research report from Business Week on a global survey of executives on Customer Experience; 80% of respondents rate CE as a strategic priority but the majority believe that their company does a poor job at delivering a good customer experience. We will be publishing 4 reports based on this survey as well as interviews with key analysts, influencers and Customers. Here is the first report which you can download and forward to your sales team and customers.
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sap, business, management, customer experience, profits, strategy
    
SAP
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, business technology
    
Amazon
Published By: AT&T     Published Date: Nov 07, 2011
See how others are using communications enabled business processes (CEBP) to drive their business into the fast lane.
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unified communication, cebp, communication, collaboration, collaboration capabilities, critical business processes, applications, efficiency, at&t, att, at+t, advantages, analysts, business processes, telecom
    
AT&T
Published By: QuinStreet     Published Date: Feb 09, 2009
Between cost savings and the efficiency of a converged voice-data network, VoIP presents an attractive case for shoring up business communications expenses in a down economy.The VoIP value proposition is so strong that industry analysts are anticipating continued growth in IP telephony through 2009.
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quinstreet, voip, voice-data network, business communications, recession, enterprise applications
    
QuinStreet
Published By: MobileForce Software     Published Date: Nov 19, 2014
GigaOm is seeing a new breed of services that promise to accelerate the mobilization of existing enterprise applications and business processes. Early mobile-application development solutions (MADP) were resource-intensive, requiring custom client code for each supported platform, as well as an on-premise middleware layer to connect mobile clients to enterprise backend systems. In this new model, code-free, configuration solutions - aimed at business analysts and lines of business- are revolutionizing the landscape, consolidating tools and services to simplify cross-platform enablement, and reducing time to deploy and cost tremendously. This report describes mobile-application configuration (MAC) tools, articulates their business value and suggests conditions under which they may be a good choice for an organization.
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mobilization, enterprise applications, business processes, development solution, resource-intensive, client code, platform, middleware, backend system, cross-platform, costs, development, wireless
    
MobileForce Software
Published By: SAP     Published Date: Apr 14, 2011
A research report from Business Week on a global survey of executives on Customer Experience; 80% of respondents rate CE as a strategic priority but the majority believe that their company does a poor job at delivering a good customer experience. We will be publishing 4 reports based on this survey as well as interviews with key analysts, influencers and Customers. Here is the first report which you can download and forward to your sales team and customers.
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customer experience management, bloomberg businessweek, bbrs, relationship management, customer segmentation, customer retention
    
SAP
Published By: SAS     Published Date: Mar 06, 2018
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility. SAS adheres to five data management best practices that support advanced analytics and deeper insights: • Simplify access to traditional and emerging data. • Strengthen the data scientist’s arsenal with advanced analytics techniques. • Scrub data to build quality into existing processes. • Shape data using flexible manipulation techniques. • Share metadata across data management and analytics domains.
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SAS
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