data analyst

Results 101 - 125 of 156Sort Results By: Published Date | Title | Company Name

Making the Case for VoIP in a Recession

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.
Tags : 
quinstreet, voip, voice-data network, business communications, recession, enterprise applications, ip telephony, it spending
    
QuinStreet

Securing the Physical, Virtual, Cloud Continuum

Published By: Trend Micro, Inc.     Published Date: Nov 12, 2009
Securing the Physical, Virtual, Cloud Continuum Virtualization and cloud computing are radically altering data center operations. In this webinar, Ted Ritter, Senior Research Analyst at Nemertes Research, and Harish Agastya, Director of Product Marketing at Trend Micro, discuss the rise of virtualization and cloud computing and the impact this is having on security best practices and next-generation security technologies.
Tags : 
trend micro, trend, cloud-client, malware, anti-virus, hijacked, fraud, virus
    
Trend Micro, Inc.

Big Data Means All Your Data: Integration is Key

Published By: TIBCO     Published Date: May 15, 2013
According to Forrester, most organizations today are only using 12% of their available data and only 37% of organizations are planning some type of big data technology project. At a time when companies are seeing volume of information increase quickly, it’s time to take a step back and look at the impact of big data. Join Mike Gualtieri, Principal Analyst at Forrester, for this webcast exploring the importance of integration in your big data initiatives. Discover how your ability to operate, make decisions, reduce risks and serve customers is inextricably linked to how well you’re able to handle your big data. Continue on to gain insight into: •3 key big data management activities you need to consider •Technologies you need to create for your big data ecosystem •A multi-dimensional view of the customer is the holy grail of individualization •Overcoming key integration challenges And more!
Tags : 
big data, integration, architecture, database, data warehousing, operations management, application integration, application performance management
    
TIBCO

Options for HCI Data Backup and Recovery

Published By: Gigaom     Published Date: Oct 02, 2019
Hyperconvergence is now at the core of many IT infrastructures. No matter the size of your organization, you need to protect infrastructure, applications, and the data necessary to run your business and compete at its best. There are several solutions to protect your data, retrieve and reuse it when necessary. Ease of use, speed, and efficiency are at the base of modern backup tools, but there is now more to take into account if you want to transform a liability into an asset. In this free 1 hour webinar, GigaOm analyst Enrico Signoretti will be joined by Alan Conboy from Scale Computing and Jon McCarrick from Acronis to talk about modern data protection strategies and solutions aimed at simplifying infrastructure while increasing the value of data. In this 1-hour webinar, you will discover: Why data protection should be integrated into your HCI Data protection options: Snapshots, backups, DR and beyond New threats and new solutions Backup as a tool to make more of your data
Tags : 
    
Gigaom

From Bro to Zeek: Making Sense of Network Traffic for Security

Published By: Gigaom     Published Date: Oct 22, 2019
Nearly all cyberattacks must cross the network, but security analysts often struggle to make quick sense of traffic at scale for hunting and incident response, trapped between data-starved logs (e.g. Netflow) and too much data (full packets) to analyze in time. What if instead there was a “Goldilocks’ for network data? This free 1-hour webinar from GigaOm Research brings together experts in network traffic analysis, featuring GigaOm analyst Simon Gibson and a special guest from Corelight, Steve Smoot. They’ll discuss the evolution of network analysis and explain how open-source Zeek (formerly Bro) came to be the network traffic analysis tool of choice for security analysts to make fast sense of their traffic. We’ll dive into Zeek’s creation at Livermore Labs and discusses some of the challenges that come with using it in large, fast network environments and explain how Corelight enables organizations to quickly take advantage of the power of Zeek at scale. In this 1-hour webinar, you
Tags : 
    
Gigaom

Analytics and Data Sources: Mere Connectivity is Just the Beginning

Published By: Gigaom     Published Date: Oct 24, 2019
A huge array of BI, analytics, data prep and machine learning platforms exist in the market, and each of those may have a variety of connectors to different databases, file systems and applications, both on-premises and in the cloud. But in today’s world of myriad data sources, simple connectivity is just table stakes. What’s essential is a data access strategy that accounts for the variety of data sources out there, including relational and NoSQL databases, file formats across storage systems — even enterprise SaaS applications — and can make them all consumable by tools and applications built for tabular data. In today’s data-driven business environment, fitting omni-structured data and disparate applications into a consistent data API makes comprehensive integration, and insights, achievable. Want to learn more and map out your data access strategy? Join us for this free 1-hour webinar from GigaOm Research. The webinar features GigaOm analyst Andrew Brust and special guests, Eric
Tags : 
    
Gigaom

Zero to Insight with the Snowflake Elastic Data Warehouse

Published By: SnowFlake     Published Date: Jul 08, 2016
Today’s data, and how that data is used, have changed dramatically in the past few years. Data now comes from everywhere—not just enterprise applications, but also websites, log files, social media, sensors, web services, and more. Organizations want to make that data available to all of their analysts as quickly as possible, not limit access to only a few highly-skilled data scientists. However, these efforts are quickly frustrated by the limitations of current data warehouse technologies. These systems simply were not built to handle the diversity of today’s data and analytics. They are based on decades-old architectures designed for a different world, a world where data was limited, users of data were few, and all processing was done in on-premises data centers.
Tags : 
snowflake, data, technology, enterprise, application, best practices, social media, storage
    
SnowFlake

CIMdata, Analyst Commentary: Innovation Management: Improving Returns on Innovation Investment

Published By: Oracle     Published Date: May 08, 2015
A Cimdata analysis of the state of the innovation market, common issues innovators of today face, and solutions for realizing better innovation practices.
Tags : 
innovation, management, efficiency, roi, product development
    
Oracle

5 Data management for analytics best practices  

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.
Tags : 
    
SAS

A New Approach to Designing a Modern Storage Infrastructure

Published By: Pillar Data Systems     Published Date: Apr 20, 2010
In this brief 23-minute on-demand Webinar, opinion leaders from Pillar Data Systems and industry experts from featured analyst firm, Gartner, Inc., break down the challenges that today's organizations face and help them to select a flexible storage platform that will adapt to changing business and application requirements while minimizing risks and reducing management complexity.
Tags : 
pillar data systems, modern storage infrastructure, it infrastructure, productivity, tco, green it, data, infrastructure
    
Pillar Data Systems

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!
Tags : 
data protection appliances, appliance adoption, arcserve, security, it management, knowledge management, data management
    
Arcserve

Populating a Data Quality Scorecard with Relevant Metrics

Published By: SAS     Published Date: Mar 14, 2014
This paper explores ways to qualify data control and measures to support the governance program. It will examine how data management practitioners can define metrics that are relevant.
Tags : 
sas, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics
    
SAS

Observing Data Quality Service Level Agreements: Inspection, Monitoring and Tracking

Published By: SAS     Published Date: Mar 14, 2014
This paper will consider the relevance of measurement and monitoring – defining inspection routines, inserting them into the end-to-end application processing, and reporting the results.
Tags : 
sas, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics
    
SAS

O’Reilly eBook: Field Guide to Hadoop

Published By: Pentaho     Published Date: Jan 16, 2015
This ebook is recommended for IT managers, developers, data analysts, system architects, and similar technical workers, who are faced with having to replace current systems and skills with the new set required by NoSQL and Hadoop, or those who want to deepen their understanding of complementary technologies and databases. Sponsored by Pentaho.
Tags : 
big data, hadoop, data delivery, data management, business intelligence, data center
    
Pentaho

ESG whitepaper: Defining Tier One Storage in the Modern Data Center (Analyst Report)

Published By: Sponsored by HP and Intel® Xeon® processors     Published Date: Aug 16, 2012
This report defines "tier-1" storage in the modern IT world and in the data centers and services that support it.
Tags : 
backup and recovery
    
Sponsored by HP and Intel® Xeon® processors

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.
Tags : 
reputational risk, it outsourcing, it security, security, risk, security breach, digital presence, it assets
    
IBM

DB2 BLU By Other Databases And More

Published By: IBM     Published Date: Apr 16, 2014
DB2 BLU By Other Databases And More Wayne Kernochan, Infostructure Associates September 2013 Analyst Wayne Kernochan of Infostructure Associates documents the analytics speed-up capability of DB2 with BLU Acceleration and explains how DB2 BLU compares with competitors. His conclusion after reviewing test results? ""Not surprisingly, the results verified a consistent, roughly order-of-magnitude speedup using BLU Acceleration, against DB2 pre-BLU and against some obvious competitors ..."". What is his advice to readers about DB2 BLU? ""... if your upcoming database needs are analytics/BI/reporting-related, why would you not use BLU Acceleration for them? In other words, what are you waiting for?
Tags : 
ibm, ibm db2, blu acceleration, acceleration, database solution, workload, configuration, testing
    
IBM

Cognitive Equipment Advisor PoV

Published By: Group M_IBM Q2'19     Published Date: May 23, 2019
US ground forces handle massive amounts of information and data while working under unpredictable conditions. These conditions don’t always allow military intelligence analysts access to a technologically reliable way to share information.  AI can help develop a comprehensive intelligence picture and a true sense of cognitive situational understanding (CSU). These technologies can help analyze the massive amounts of data the military receives. And because AI programs are constantly adding new capabilities and tools, they can help the military prepare for the battlefield of the future. Read how. 
Tags : 
    
Group M_IBM Q2'19

Store Less, Spend Less: Managing Data According to It's Economic Value

Published By: IBM     Published Date: Aug 28, 2014
Not storing data is cheaper than storing it. As enterprise data continues to grow and IT budgets remain flat, organizations need to more effectively maximize existing storage capacity and manage storage spend based on data value. In this white paper, Enterprise Strategy Group Sr. Analyst Mark Peters demonstrates how IBM's Information Lifecycle Governance solutions can help IT buyers improve the information economics for their organizations by curtailing data growth through defensible disposal of data.
Tags : 
data storage, data value, ilg, data disposal, data management, storage management
    
IBM

Store Less, Spend Less: Managing Data According to It's Economic Value

Published By: IBM     Published Date: Oct 22, 2014
Not storing data is cheaper than storing it. As enterprise data continues to grow and IT budgets remain flat, organizations need to more effectively maximize existing storage capacity and manage storage spend based on data value. In this white paper, Enterprise Strategy Group Sr. Analyst Mark Peters demonstrates how IBM's Information Lifecycle Governance solutions can help IT buyers improve the information economics for their organizations by curtailing data growth through defensible disposal of data.
Tags : 
data storage, big data, data disposal, data value, it management, data management, business intelligence, content management system
    
IBM

Enhanced 360-degree view of the customer

Published By: IBM     Published Date: Apr 18, 2016
"Five high-value uses for big data: IBM has conducted surveys, studied analysts’ findings, talked with more than 300 customers and prospects and implemented hundreds of big data solutions. As a result, it has identified five high-value use cases that enable organizations to gain new value from big data."
Tags : 
ibm, mdm, big data, trusted data, data solutions, data management
    
IBM

Fraud Analytics: Reduce business risk and help increase ROI Webinar

Published By: IBM     Published Date: Jul 12, 2016
Join us for a complimentary webinar with Mark Simmonds, IBM big data IT Architect who will talk with leading analyst Mike Ferguson of Intelligent Business Strategies about the current fraud landscape. They will discuss the business impact of fraud, how to develop a fraud-protection strategy and how IBM z Systems analytics solutions and predictive models can dramatically reduce your risk exposure and loss from fraud.
Tags : 
ibm, z systems, fraud loss reduction, fraud management, fraud prevention, fraud analytics, roi, security
    
IBM

Why You Should Look at Cloud for Storing Back-up, Archive and Content Repository Data

Published By: IBM     Published Date: Nov 30, 2017
Analyst firm, Enterprise Strategy Group (ESG), makes the case for storing backup, archive and content repository data in the cloud. Learn how IBM Cloud Object Storage addresses these use cases and helps companies lower costs, provide higher availability and protect against unauthorized access to their data. Complete the form to download the analyst paper
Tags : 
ibm cloud, archival solutions, ibm, it services, storage, production storage, data management
    
IBM

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.
Tags : 
analytics, technology, digital transformation, data lake, always-on data lake, ibm, cloud-based analytics
    
IBM

Data Recovery for IBM AIX Environments

Published By: Vision Solutions     Published Date: Dec 31, 2007
For AIX IT departments looking to take the next step in data protection strategies, CDP is an essential consideration. Analysts agree that businesses will be incorporating this strategy in the next few years as part of an integrated solution. CDP enables you to reverse data corruption in a fraction of the time and labor required for recovery from tape.
Tags : 
aix, data protection, continuous data protection, cdp, high availability, disaster recovery, disk backup, tape backup
    
Vision Solutions
Start   Previous    1 2 3 4 5 6 7    Next    End
Search      

Add Research

Get your company's research in the hands of targeted business professionals.