data initiative

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Published By: Stratavia     Published Date: May 21, 2008
This document provides an overview of data center consolidation methodologies, the general impact of each method, and how Stratavia’s Data Palette helps data center consolidation initiatives.
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data center consolidation, data center standardization, logical consolidation, data center rationalization, data center automation, stratavia, automation, dca, decision automation, database automation, database consolidation, server provisioning, server consolidation, process automation
    
Stratavia
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, siebel crm, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth, data classification
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, oracle e-business suite, business-critical erp applications, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth, data classification
    
IBM
Published By: IBM     Published Date: Feb 18, 2009
This white paper explains how the seven basic principles for managing enterprise application data can help your organization: Establish effective policies for full-lifecycle enterprise data management to control data growth and lower storage costs; Meet service level goals to achieve the timely completion of key business processes for mission-critical applications; Support data retention compliance initiatives and mitigate risk for audits and e-discovery requests; Implement scalable archiving strategies that easily adapt to your ongoing business requirements.
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ibm integrated data management, jd edwards, business-critical erp applications, archiving project, service level goals, data retention compliance, archiving strategies, ibm optim data growth solution, rapid data growth, data classification
    
IBM
Published By: Bazaarvoice     Published Date: Nov 05, 2014
Struggling to prove social ROI? The Bazaarvoice whitepaper Real ROI from Social in 5 Steps shows you how the worlds most successful brands and retailers are capturing results and proving true social ROI.
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bazaarvoice, roi, marketing landscape, social emergence, social media, information online, social strategy, measurable data, social initiatives, measure roi
    
Bazaarvoice
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, its 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 youre 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!
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big data, integration, architecture, database, data warehousing, operations management
    
TIBCO
Published By: ClearSlide, Inc     Published Date: Feb 25, 2015
Organizations treat customer data as a key component of CRM. Many organizations see an effective customer data management strategy as an important cornerstone of their CRM strategy. Most organizations are moving beyond tactical CRM initiatives focused on saving cost and driving efficiency to making their organization more effective and focused on driving better customer engagement and experience. Customer data is used to enhance customer experiences, improve service quality, target marketing efforts, capture customer sentiment, increase upsell opportunities and trigger product and service innovation.
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crm, big data, customer engagement, customer service
    
ClearSlide, Inc
Published By: Code42     Published Date: Jan 13, 2016
Todays organizations face a ballooning data management and risk problem. The use of laptops, tablets, workstations, servers and smartphones in the enterprise to create and store critical data is growing at an alarming rate. Many companies still rely on a legacy, platform-specific data backup solution, even though it doesnt provide consistent backup across the enterprise. This outdated approach becomes especially risky when IT faces a data migration initiative. Whether migrating to a new version or brand new hardware on the client or serverorganizations risk immense data loss and an expensive, intensive disaster recovery undertaking if they launch a data migration effort without first properly securing their data. Continuous, real-time data backup is the only viable solution for protecting all enterprise data while providing for a seamless migration process. But how do you achieve it?
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code42, best practices, platform-specific data, endpoint backup, data migration, real-time data backup, data solutions
    
Code42
Published By: SAP     Published Date: Jun 23, 2009
Learn the importance of Data Quality and the six key steps that you can take and put into process to help you realize tangible ROI on your data quality initiative.
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roi, data quality, sap, return-on-investment, crm, erp, enterprise resource management, customer relationship management, crm, business intelligence, referential integrity, sql, data quality scoring, target marketing
    
SAP
Published By: SAP     Published Date: Mar 24, 2011
The list of initiatives that are data-enabled-indeed, data-intensive-vary from company to company, from industry to industry. But the common denominator is an increasing awareness that these and other programs can't succeed without clean, meaningful, and available information. In this white paper, Baseline Consulting's Jill Dych discusses how the data conversation is changing from philosophical questioning to hard-core tactics, from "What do we need?" to "Where do we start?" It covers the most common reasons for data governance failure, as well as the components of data governance that will inform the right strategy and give companies a means of determining where and how to begin their data governance journeys.
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data governance, data governance failure, data governance initiative
    
SAP
Published By: Forte Wares     Published Date: Jun 24, 2014
The key to making big data initiatives a success lies within making the produced data more digestible and usable in decision making, rather than making it just more, resulting in the creation of an environment wherein information is used to generate real impact. Put another way, the survival of Big Data is more about making the right data (not just higher volume) available to the right people (not just higher variety) at the right time (not just higher velocity).
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Forte Wares
Published By: SAS     Published Date: Mar 14, 2014
Jill Dyche and SpectraDynamo explains the importance of understanding how to manage data and issues regarding data categorization, retrieval and quality.
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sas, data categorization, retrieval and quality, spectradynamo, telemetry data, data governance program, data management, data quality, business objectives, quality data, accuracy, lineage, structural consistency, relevant metrics, business relevance, measured value, emergent patterns, quality metrics
    
SAS
Published By: IBM     Published Date: Oct 24, 2013
This analyst research paper contains findings from Aberdeen Group on the financial reporting pressures, challenges faced by organizations particularly with regulatory mandates
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ibm, aberdeen group, financial reporting pressures, financial challenges, analyst insight, disclosure management, organizational transparency, organizational collaboration, deman for data, utilize the data, business intelligence, real-time data initiatives, real-time financial reporting
    
IBM
Published By: CA Technologies EMEA     Published Date: Aug 03, 2017
The key tenets of protecting data privacy are: knowing where your data resides, understanding who has access to the data and what are they doing with it, and knowing how the data is being used internally that may result in non-compliance. Additionally, most compliance projects are major, company-wide initiatives and must be managed properly to meet deadlines and keep costs in check.
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classify data, gdpr, risk reduction, breach protection, anonymize data, privacy projects, data management
    
CA Technologies EMEA
Published By: Group M_IBM Q2'19     Published Date: Jun 10, 2019
In the era of individual-centered economy, customers are demanding faster, more personalized services. To deliver these services, successful organizations realize the benefits of accurate and trusted master data. And in today's always on society, companies can no longer afford to allow downtime for maintenance and scheduled upgrades for these services and the supporting applications. With low latency capabilities in IBM InfoSphere Master Data Management designed to easily connect to applications in a zero-downtime environment, the highest demands for user interactions can now be realized. As a result, businesses can therefore take the next step in their digital transformation initiatives to truly drive personalized differentiated customer experiences to separate themselves in today's crowded marketplace. View this webinar to discover how IBM MDM puts these capabilities within easy reach. The webinar will: Reveal how these capabilities are being delivered on-premise and on t
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Group M_IBM Q2'19
Published By: IBM     Published Date: Aug 05, 2014
IBM InfoSphere Master Data Management (MDM) helps organizations gain a comprehensive and accurate 360-degree view of their customers. This 360-degree view, when integrated with a CRM solution such as Salesforce.com, helps organizations improve the effectiveness of their CRM initiatives to help companies: -Increase user productivity -Improve sales and marketing performance to increase win rate and revenue -Mitigate risks associated with poor customer data Download here to learn more!
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ibm, salesforce, mdm, crm, initiatives, data
    
IBM
Published By: Group M_IBM Q2'19     Published Date: Apr 01, 2019
IDC strongly believes that the days of homogenous compute, in which a single architecture dominates all compute in the datacenter, are over. This truth has become increasingly evident as more and more businesses have started to launch artificial intelligence (AI) initiatives. Many of them are in an experimental stage with AI and a few have reached production readiness, but all of them are cycling unusually fast through infrastructure options to run their newly developed AI applications and services on.
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Group M_IBM Q2'19
Published By: SAS     Published Date: Aug 28, 2018
Starting data governance initiatives can seem a bit daunting. Youre establishing strategies and policies for data assets. And, youre committing the organization to treat data as a corporate asset, on par with its buildings, its supply chain, its employees or its intellectual property. However, as Jill Dych and Evan Levy have noted, data governance is a combination of strategy and execution. Its an approach that requires one to be both holistic and pragmatic: Holistic. All aspects of data usage and maintenance are taken into account in establishing the vision. Pragmatic. Political challenges and cross-departmental struggles are part of the equation. So, the tactical deployment must be delivered in phases to provide quick wins and avert organizational fatigue from a larger, more monolithic exercise. To accomplish this, data governance must touch all internal and external IT systems and establish decision-making mechanisms that transcend organizational silos. And, it must provi
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SAS
Published By: nlyte Software     Published Date: Oct 27, 2014
Much of the focus on flexible datacenters centers around the software application, compute, networking, and storage layers. Only after an initiative has begun are the most suitable best practices in datacenter infrastructure management (DCIM) considered.
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nlyte, data centers, agile data centers, infrastructure, networking, storage
    
nlyte Software
Published By: IBM     Published Date: Oct 10, 2013
Virtualization is one of the most highly demanded of all IT projects this decade because it enables enterprises to reduce capex and opex costs and at the same time increase business efficiency and agility. However, implementing, supporting, and managing virtualization can often be difficult tasks, especially as deployments increase in scale and complexity and impact more areas of the datacenter. These more complex infrastructures often require highly skilled engineers with in-depth business knowledge and systems management capabilities. Projects such as infrastructure optimization and automation initiatives for self-service provisioning are key because they enable enterprises to streamline business processes and utilize cloud strategies and mobility solutions. IDC shows how partnering with experts who can implement, optimize, support, and manage virtualized environments may be the right course of action. By utilizing partners, enterprises will be able to avoid some of the potential pit
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virtual environment, business initiatives, maximize initiatives, datacenter, complex infrastructure, business efficiency, business agility, deployments, automation initiatives, cloud strategies, mobility solutions
    
IBM
Published By: IBM     Published Date: Mar 05, 2014
IBM Big Data Stampede fuses the strength of IBMs services, products and skills to minimize the barriers of Big Data initiatives and provide organizations with quick success. 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.
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ibm, ibm big data big data, information management, data management, big data technology, business analytics, insights, acceleration, productivity
    
IBM
Published By: Altiscale     Published Date: Aug 25, 2015
Hype abounds about Big Data. And it's hard to know how to effectively exploit its potential. Learn how to separate fact from fiction in this new webinar + research note titled "Amazon EMR is Easy and 7 Other Myths." If you're considering launching a new Big Data initiative, or if you are currently struggling with Amazon EMR, view this 30 minute on-demand webinar + research note and dispel the most common untruths about Amazon EMR, as determined by leading Hadoop experts. Specifically, you'll learn: The differences between Hadoop-as-a-Service and Amazon EMR Why Hadoop on Amazon is not elastic Why EMR is not a "plug-n-play" application How costs get out of control with Amazon EMR
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amazon emr, big data, haddop
    
Altiscale
Published By: IBM     Published Date: Jan 05, 2015
Ziff Davis recently surveyed over 300 IT professionals on the state of big data and analytics initiatives in their organizations. The results tell a compelling story: while most IT pros understand the value of big data, actually operationalizing their analytics strategies to deliver usable insights to their organizations remains a challenge.
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big data, it professionals, analytics initiatives, analytics strategies, analytic solutions
    
IBM
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