big data solution

Results 101 - 125 of 171Sort Results By: Published Date | Title | Company Name
Published By: IBM     Published Date: May 08, 2013
Download this whitepaper to learn how organizations can extend their productivity gains provided by disclosure management solutions to their budgeting, planning and forecasting processes as well. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
Tags : 
management, budgeting, planning, forecasting, organizations, productivity, solutions
    
IBM
Published By: IBM     Published Date: May 08, 2013
Read this whitepaper from FSN's Gary Simon to learn how disclosure management solutions from IBM can extend the value of your existing Business Intelligence tools. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
Tags : 
value, business intelligence, disclosure management, solutions
    
IBM
Published By: IBM     Published Date: May 08, 2013
Learn what CFO Research found when they surveyed finance executives from U.S. companies about their reporting processes and the tools they use to prepare financial statements. Learn more about ‘Big Data and Business Analytics’ through IBM’s latest market leading solutions. Register and attend this complimentary virtual event on June 11 by IBM Business Analytics
Tags : 
cfo, finance, tools, financial statements
    
IBM
Published By: New Relic     Published Date: Mar 17, 2015
Application performance management (APM) focuses on monitoring, maintaining, and optimizing the performance and health of business applications across development, test, datacenter, and network environments. As mission-critical enterprise application environments become more complex because of the increased use of cloud, big data, and mobility, APM is becoming a top priority for IT teams that need to quickly and cost effectively track end-to-end application performance, identify and remediate the root cause of performance problems, and maintain service levels required by end users and business stakeholders. SaaS-delivered APM solutions offer rapid time to value for IT organizations that need to implement APM quickly with minimal disruption to the business.
Tags : 
apm, application performance management, big data, application performance, mobility, data center, data management
    
New Relic
Published By: NetApp     Published Date: Oct 12, 2018
Big data needs both high availability and protection. The amount of data created and replicated globally is predicted to increase ten-fold by 2025, according to IDC research. You may be wondering where to store that big data, as well as how to ensure your data is highly available and protected. In this eBook, explore why cloud-based disaster recovery (DR) improves data availability, eases the processes associated with DR management, and creates a more economically efficient solution for today’s data-driven companies.
Tags : 
    
NetApp
Published By: Adverity     Published Date: Jun 15, 2018
In this whitepaper, we take a closer look at some of the biggest challenges facing e-commerce businesses, namely understanding your data in general and, more precisely, your customer acquisition costs (CAC). It's full of inspiration, useful tips and actionable insights for you to step up your marketing game. In order to reap the fruits from your data seeds, you have to make sure you tackle these five challenges full-frontal: Knowing what data to capture Understanding customer behaviour Finding your technology solution Ensuring analysis is impartial Optimising website content - especially for your offline users
Tags : 
marketing business intelligence, saas marketing optimization, measuring marketing performance, roi analytics, automated report generator, performance based marketing, online marketing data, roi metrics, marketing reports, roi reporting, reporting generator, automated reporting tool, marketing dashboard, marketing data, marketing intelligence, report software, marketing reporting, marketing metrics, performance marketing, marketing performance
    
Adverity
Published By: Box.net     Published Date: Jun 27, 2012
Continued data explosion is, for many organizations, the biggest challenge they must address. Companies must determine the most cost-effective technologies for storing data, yet also need to find solutions that enable employees to access information
Tags : 
cloud computing, storing data, cost-effective
    
Box.net
Published By: Kaseya     Published Date: Aug 25, 2014
Although providing significant business benefits, recent technological advances in mobility, cloud computing and big data have also dramatically complicated the task of managing IT resources. Mitigating the challenges associated with these technologies allows IT organizations to satisfy existing SLAs and leverage technology to support innovative new services which are designed to improve productivity, collaboration and customer satisfaction. Download now to learn about Kaseya's solutions!
Tags : 
kaseya, hybrid it, business, big data, cloud, slas, technology, it management, business technology
    
Kaseya
Published By: ClearSlide, Inc     Published Date: Feb 25, 2015
As sales transforms to customer engagement-based selling, sales teams are challenged to not only help customers address their problems, but also challenge their current wisdom, driving innovation and differentiation in the market.
Tags : 
sales analytics, best practices, big data, data solutions
    
ClearSlide, Inc
Published By: SnowFlake     Published Date: Jul 08, 2016
In the era of big data, enterprise data warehouse (EDW) technology continues to evolve as vendors focus on innovation and advanced features around in-memory, compression, security, and tighter integration with Hadoop, NoSQL, and cloud. Forrester identified the 10 most significant EDW software and services providers — Actian, Amazon Web Services (AWS), Hewlett Packard Enterprise (HPE), IBM, Microsoft, Oracle, Pivotal Software, SAP, Snowflake Computing, and Teradata — in the category and researched, analyzed, and scored them. This report details our findings about how well each vendor fulfills our criteria and where they stand in relation to each other to help enterprise architect professionals select the right solution to support their data warehouse platform.
Tags : 
forrester, enterprise, data, technology, best practices, innovation, security, business technology
    
SnowFlake
Published By: IBM     Published Date: May 27, 2014
“Big data”– which admittedly means many things to many people – is no longer confined to the realm of technology. Today, it is a business imperative. In addition to providing solutions to insurance companies’ long-standing business challenges, big data inspires new ways to transform processes, organizations and many aspects of the insurance industry as we know it.
Tags : 
ibm, big data, insurance, insurance technology, big data solutions, business value, financial data, risk data, claims data, actuarial data
    
IBM
Published By: IBM     Published Date: May 27, 2014
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media
Tags : 
ibm, big data, analytics, insurance, insurance industry, big data solutions, integration, risk assessment, policy rates, customer retention, claims data, transaction data
    
IBM
Published By: IBM     Published Date: Nov 19, 2014
Risk Management: OpenPages GRC: Operational risk management in the world of big data - Unlocking the value of loss event data and driving the risk-aware enterprise
Tags : 
ibm, risk management, big data, data management, operational risk, event data, risk aware, risk solutions
    
IBM
Published By: IBM     Published Date: Nov 19, 2014
Risk Management: General: Partially cloudy: the benefits of hybrid deployment models
Tags : 
ibm, risk management, big data, data management, operational risk, event data, risk aware, risk solutions, hybrid deployment, deployment models
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
IBM offers a comprehensive solutions portfolio that helps insurance companies integrate big data and analytics capabilities into their telematics strategy. The portfolio incorporates dozens of new patented technologies developed by IBM Research and builds on IBM Watson Foundations.
Tags : 
telematics, ibm, insurance, big data, comprehensive solutions
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
Big data and analytics help insurance companies identify the next best action for customers. With the right solutions, companies can extract, integrate and analyze a large volume and variety of data, from call-center notes and voice recordings to web chats, telematics and social media.
Tags : 
big data, ibm, claims operations, customer service
    
IBM
Published By: IBM     Published Date: Jul 01, 2015
This paper discusses why it is important for healthcare organizations to become data driven, gives examples of organizations that are already leveraging a wide range of big data.
Tags : 
clinical analytics, enhanced data foundation, data-driven healthcare organization, integrated data sources, data lifecycle management, big data, healthcare analytics solutions
    
IBM
Published By: Datawatch     Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
Tags : 
visual data discovery, decision making software, data variety, business analysis, data visualization, big data, business analytics, business intelligence, real-time data, real-time data visualization, real-time data discovery, data variety software, data discovery software, data analysis software, data mining tools, data extraction, data reporting, pdf to excel, business reporting, data solutions
    
Datawatch
Published By: IBM     Published Date: May 02, 2014
Your Big Data Stampede includes an assessment to identify the high value starting points with Big Data. We work with you to unearth trouble areas and complex problems for resolution through leveraging Big Data. Read this data sheet to learn more.
Tags : 
ibm, big data, big data success, big data platform, big data stampede, high value, assessments, big data solutions, transfer knowledge, skills enablement, enablement and success, minimize barriers, it management, data management, data center
    
IBM
Published By: IBM     Published Date: May 02, 2014
These traditional analytical systems are often based on a classic pattern where data from multiple operational systems is captured, cleaned, transformed and integrated before loading it into a data warehouse.
Tags : 
ibm, big data platform, architecting big data, analytics, intelligent business strategies, data complexity, data types, workload growth, workload complexity, big data analytic applications, operational decisions, multi-structured data, querying data, scalable data management, analytical ecosystem, hadoop solutions, it management, data management, data center
    
IBM
Published By: IBM     Published Date: May 28, 2014
The ability to keep pace with trends like big data, open data, sophisticated analytics, and the de-compartmentalization of data silos and processes, distinguishes leading master data management (MDM) solutions from their counterparts. IBM, one of the five vendors in this evaluation, is positioned as THE leader with the most prominent, widely implemented solution in the market.
Tags : 
ibm, forrester, master data management, big data, database management technology, data administrators, infosphere, biginsights, industry-standard sql, management systems, database metadata, application programming interfaces, api, data persistence, virtualize data, lifecycle management, big data strategy, it management, data management, data center
    
IBM
Published By: IBM     Published Date: Oct 01, 2014
To help enterprises create trusted insight as the volume, velocity and variety of data continue to explode, IBM offers several solutions designed to help organizations uncover previously unavailable insights and use them to support and inform decisions across the business. Combining the power of IBM® InfoSphere® Master Data Management (MDM) with the IBM big data portfolio creates a valuable connection: big data technology can supply insights to MDM, and MDM can supply master data definitions to big data.
Tags : 
mdm, big data, master data, data solutions, data management
    
IBM
Published By: IBM     Published Date: Dec 24, 2014
Organizations and intelligence agencies from a variety of industries and sectors face the same challenges when it comes to big data – the need to uncover actionable insights, with limited resources, with critical speed. But with the right intelligence solution, overwhelming data won’t be a challenge, rather, it becomes your resource to smarter, more effective decision making.
Tags : 
ibm, big data, insight analysis, big data analysis, intelligence solutions, advanced analytics, business decision making, it management
    
IBM
Published By: IBM     Published Date: Dec 24, 2014
Watch the video above to learn about the new big data and advanced analytics solution from IBM.
Tags : 
ibm, big data, insight analysis, big data analysis, intelligence solutions, advanced analytics, business decision making, it management
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
Tags : 
big data, ibm, big data outcomes, information governance, big data analytics, it management, data management, data center
    
IBM
Start   Previous    1 2 3 4 5 6 7    Next    End
Search      

Add A White Paper

Email sales@inetinteractive.com to find out about white paper options for your company.