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Brilliant Advertising

Published By: Adobe     Published Date: May 16, 2017
Programmatic advertising is full of complex patterns. Very similar to patterns in nature. Our guide, Brilliant Advertising, shows how fractals in nature perfectly describe the complexity of programmatic ads and pave the way for how you should approach creative assets. Read the guide to learn five ways to overcome challenges to programmatic ads, including how to: • Bring marketers, creatives, IT, and data analysts together to ensure success • Save money and time while improving engagement and conversion • Customize multiple versions of one campaign and serve ads with strong creative in real time
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Adobe

Brilliant Advertising

Published By: Adobe     Published Date: Sep 12, 2017
"Read the guide to learn five ways to overcome challenges to programmatic ads, including how to: · Bring marketers, creatives, IT, and data analysts together to ensure success · Save money and time while improving engagement and conversion · Customize multiple versions of one campaign and serve ads with strong creative in real time"
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Adobe

Bringing Automation to the Data Center

Published By: CA WA 2     Published Date: Oct 01, 2008
Given the increased complexities and requirements thrust onto data center management environments over time, a more holistic management approach is necessary for efficient and cost effective delivery of IT services. Authors and analysts Judith Hurwitz and Robin Bloor bring their research and extensive experience to light in respect to the state of data center management by building the case for automation as a key strategy for efficient and cost effective management.
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datacenter automation, data center automation, network management, ca wa, ca wa 2, it management, network architecture, business process automation
    
CA WA 2

Business Transformation: A Roadmap for Maximizing Organizational Insights

Published By: SAS     Published Date: Sep 30, 2014
When Information Revolution1 was published in 2006, no Chinese based companies were among the top 10 largest companies by market capitalization. Apple didn’t sell phones. Facebook was something college kids used to connect with their friends. Back then, we talked a lot about the amount of data coming in and faster processing speed. What we believed then remains true today: Data, and the decision-making process, can be moved throughout the organization to equip every decision maker (automated, line worker, analyst, executive) to make the best choices. By operationalizing analytics, organizations can identify and quantify both opportunity and risk. Information Revolution highlighted SAS’ Information Evolution Model, which helps organizations understand how they interact with their information and how to extract more value from it through analytics.
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sas, organizational insights, operationalizing analytics, sas’ information evolution model
    
SAS

CA Technologies Unveils New Mainframe Machine Learning Capabilities at CA World '16

Published By: CA Technologies     Published Date: Jul 20, 2017
Mainframes continue to provide high business value by combining efficient transaction processing with high-volume access to critical enterprise data. Business organizations are linking mobile devices to mainframe processing and data to support digital applications and drive business transformation. In this rapidly growing scenario, the importance of providing excellent end-user experience becomes critical for business success.This analyst announcement note covers how CA Technologies is addressing the need for providing high availability and a fast response time by optimizing mainframe performance with new machine learning and analytics capabilities.
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CA Technologies

Case Study by Nucleus Research: Worldpay

Published By: ServiceNow     Published Date: Sep 18, 2018
Worldpay deployed ServiceNow Performance Analytics to replace multiple data tools and promote the use of analytics throughout its organization for improved decision making. Nucleus found the project enabled the company to boost analyst productivity, while simultaneously increasing data accessibility and engagement for hundreds of additional employees. Download this case study to learn more
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nucleus, research, worldpay, servicenow
    
ServiceNow

Channeling Streaming Data for a Competitive Advantage

Published By: SAS     Published Date: Apr 25, 2017
Today, data is constantly flowing in and out of organizations from electrical and mechanical sensors, RFID tags, smart meters, scanners, mobile devices, vehicles, live social media, machines and other objects. Did you know that a modern plane with more than 10,000 sensors just in the wings is expected to generate more than 7 terabytes a day? And Bain predicts that by 2020 annual revenues could exceed $470 billion for the internet of things (IoT) vendors selling hardware, software and comprehensive solutions. Analysts believe that all of this data will drive a new type of industrial revolution – one that’s driven by highly accurate, real-time analysis, alerts and actions. Increasingly, machines will automate decisions and simply notify humans with instructions. Consider the promise of the IoT, where any object can be connected to the internet and continuously send and receive data. Gartner says that by 2020, 21 billion IoT devices will be in use worldwide.
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SAS

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.
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innovation, management, efficiency, roi, product development
    
Oracle

Citizen data analytics: Give everyone a shot at the action.

Published By: Adobe     Published Date: Jun 26, 2019
Put your data in the hands of those who need it most, so they can act quickly to deliver great customer experiences. And a better bottom line. Data is no longer the domain of a few. Everyone in your organization should be thinking about it. And more importantly, acting upon it. This means taking data insights out of the realm of data scientists and making them a natural part of everyone’s workflow — from the marketing department to the executive team. To seize and capitalize on the data you already have, it’s important for analysts and marketers to rethink data—shifting from a reporting mindset to an action mindset. 74% of organizations want to be data driven, yet only 29% say they’re good at connecting analytics to action.
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Adobe

CITO Research: Buyer's Guide to Big Data Integration

Published By: Pentaho     Published Date: Mar 08, 2016
If you’re evaluating big data integration platforms, you know that with the increasing number of tools and technologies out there, it can be difficult to separate meaningful information from the hype, and identify the right technology to solve your unique big data problem. This analyst research provides a concise overview of big data integration technologies, and reviews key things to consider when creating an integrated big data environment that blends new technologies with existing BI systems to meet your business goals. Read the Buyer’s Guide to Big Data Integration by CITO Research to learn: • What tools are most useful for working with Big Data, Hadoop, and existing transactional databases • How to create an effective “data supply chain” • How to succeed with complex data on-boarding using automation for more reliable data ingestion • The best ways to connect, transport, and transform data for data exploration, analytics and compliance
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data, buyer guide, integration, technology, platform, research, enterprise applications
    
Pentaho

ClarusIPC Plus+ 2.4: Diagnose, Troubleshoot, Validate

Published By: Clarus Systems     Published Date: Mar 18, 2008
Enterprise networks are going through massive change, and the convergence of voice and data including Communication deployments, upgrades, transformations and ongoing management remain a top priority. According industry analysts at Aberdeen Group, 61% are planning for Communications in the next two years. In order to get the most from their Unified Communications investment at the time of deployment and beyond, enterprises must leverage both active testing and configuration analysis techniques to certify and validate that environments are configured as designed.
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itil, clarus systems, ipt, ip telephony, unified communications, cisco, callmanager, best practices
    
Clarus Systems

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. 
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Group M_IBM Q2'19

Combination of server and endpoint backup means stronger security and improved business continuity

Published By: Carbonite     Published Date: Jul 18, 2018
© 2018 Carbonite, Inc. All rights reserved. Case study Diamond Foods’ Diamond of California® nuts are household staples for shoppers across the U.S. But constantly filling grocery store shelves with snacks requires intricate supply chain management that relies on critical business data, including complex spreadsheets and enterprise resource planning files, to keep production and deliveries on schedule. “If our critical servers go down or we lose important data on employee laptops, it has a direct impact on our bottom line,” says Kentrell Davis, Senior Client Support Services Analyst at Diamond Foods.
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Carbonite

Complexity, Decision Making, and Big Data

Published By: SAP     Published Date: May 18, 2014
The technology market is giving significant attention to Big Data and analytics as a way to provide insight for decision making support; but how far along is the adoption of these technologies across manufacturing organizations? During a February 2013 survey of over 100 manufacturers we examined behaviors of organizations that measure effective decision making as part of their enterprise performance management efforts. This Analyst Insight paper reveals the results of this survey.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP

Customer Data-Driven Supply Chain: Top Five Practices

Published By: IBM     Published Date: Feb 04, 2014
Explore the top five practices in today's customer-data-driven supply chain and examine the impact of using customer data on key supply chain metrics.
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ibm, aberdeen group, analytics report, customer data, data-driven, supply chain, best practices, social shopping
    
IBM

Data Preparation Is Not an Afterthought

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

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.
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aix, data protection, continuous data protection, cdp, high availability, disaster recovery, disk backup, tape backup
    
Vision Solutions

Data trends redefine leading brands

Published By: Adobe     Published Date: Oct 14, 2019
Companies that put data at the centre of their business gain better insights and deliver more effective marketing. Data centricity at an organisational level is the priority for larger companies, mindful of the opportunities afforded by more scientific commercial decision-making and data-driven marketing. A focus on data alone in the context of customer analytics is not enough, however. Companies require insights from their data to deliver first-class customer experiences that give them a competitive advantage. Our global survey of more than 1,000 business respondents shows that companies are rightly focused on activities powered by actionable insights as opposed to focusing on data for its own sake. More effective segmentation and targeting (65%), and better marketing attribution (52%), are the top data-related priorities for marketers, while ‘technologists’ (including analysts, ecommerce, and IT professionals) are primarily focused on making their organisations more data-centric (50%
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Adobe

Data Visualization Techniques From Basics to Big Data With SAS Visual Analytics

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
    
SAS

Data Visualization Techniques From Basics to Big Data With SAS Visual Analytics

Published By: SAS     Published Date: Apr 25, 2017
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. The heart and soul of SAS Visual Analytics is the SAS® LASR™ Analytic Server, which ca
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SAS

DataRobot Automated Machine Learning Platform

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

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?
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ibm, ibm db2, blu acceleration, acceleration, database solution, workload, configuration, testing
    
IBM

Deep insights on oil exploration in the Permian Basin play

Published By: Drillinginfo     Published Date: Nov 18, 2015
The Permian basin, a long time oil and gas producing region nestled in west Texas and southeastern New Mexico was once believe to have reached “Peak Oil” extraction levels. A significantly larger play than the booming Eagle Ford Shale, the Permian Basin has reemerged as a production pillar for the US, thanks to advancements in horizontal drilling and hydraulic fracturing. Although still in early stages of new production, the Permian has already transformed the local economies surrounding the play, adding to the energy security of the U.S. In this issue of the DI Expert eBook, by Drillinginfo, the premier provider of data and insights for oil and gas exploration decisions, our expert analysts have delved into the complexities of the geology in the Permian, highlighted the successes of operators in the region and provided in-depth analyses on the play’s re-emergence.
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basin, permian, peak oil, extraction, energy security, geologists, downspacing, innovations
    
Drillinginfo

Delivering Hybrid Analytics at the Speed of Business: IBM Integrated Analytics System

Published By: Group M_IBM Q2'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q2'19

Delivering Hybrid Analytics at the Speed of Business: IBM Integrated Analytics System

Published By: Group M_IBM Q3'19     Published Date: Jul 01, 2019
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
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Group M_IBM Q3'19
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