data source

Results 601 - 625 of 766Sort Results By: Published Date | Title | Company Name
By: IBM     Published Date: Jan 09, 2014
How can your midsize business meet new demands for data storage with limited resources? In this eguide, you’ll find out that this innovative solution can radically improve storage performance—while minimizing expenses
Tags : ibm, storwize eguide, data storage, modern technology, virtual storage, gartner research, innovative data, storage maintenance, storage device, data storage capacity, data center, environmental management, infrastructure, virtual machine, it operations, consolidate servers, virtualized environments, storage architect, databases application integration, real-time compression appliance
     IBM
By: Cisco     Published Date: Dec 21, 2016
Self-service analytics implies that users design and develop their own reports and do their own data  analysis with minimal support by IT. Most recently, due to the availability of tools, such as those from Qlik,  Spotfire, and Tableau, self-service analytics has become immensely popular. Besides powerful analytical  and visualization capabilities, they all support functionality for accessing and integrating data sources.  With respect to this aspect of data integration four phases can be identified in the relatively short history  of self-service analytics. This whitepaper describes these four phases in detail and shows how the tools  Cisco Data Preparation (CDP) and Cisco Information Server (CIS) for data virtualization can strengthen and  enrich the self-service data integration capabilities of tools for reporting and analytics.  
Tags : 
     Cisco
By: IBM     Published Date: Jul 08, 2015
Salesforce.com is an industry leading cloud CRM solution which helps organizations streamline and effectively manage sales processes, customers and opportunities. The effectiveness of these initiatives can be improved dramatically by providing Salesforce with a 3600 view of the Customer to overcome the limitation of fragmented data that Salesforce currently relies on. This paper discusses how InfoSphere capabilities can be used to create comprehensive and accurate 3600 views of your customers from internal and external sources. This data is integrated seamlessly within Salesforce.com to help your sales teams get a complete view of the customer to help find the right contacts, allocate resources efficiently and identify new opportunities. This helps your sales teams be more efficient, effective and ultimately improve your win rate and drive more revenue.
Tags : ibm, salesforce, crm solutions, sales processes, infosphere, sales opportunities, enterprise applications, data management
     IBM
By: IBM     Published Date: Oct 01, 2014
Salesforce.com is an industry leading cloud CRM solution which helps organizations streamline and effectively manage sales processes, customers and opportunities. The effectiveness of these initiatives can be improved dramatically by providing Salesforce with a 3600 view of the Customer to overcome the limitation of fragmented data that Salesforce currently relies on. This paper discusses how InfoSphere capabilities can be used to create comprehensive and accurate 3600 views of your customers from internal and external sources. This data is integrated seamlessly within Salesforce.com to help your sales teams get a complete view of the customer to help find the right contacts, allocate resources efficiently and identify new opportunities. This helps your sales teams be more efficient, effective and ultimately improve your win rate and drive more revenue.
Tags : salesforce, crm solution, data integration, data management
     IBM
By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
Data is the lifeblood of business. And in the era of digital business, the organizations that utilize data most effectively are also the most successful. Whether structured, unstructured or semi-structured, rapidly increasing data quantities must be brought into organizations, stored and put to work to enable business strategies. Data integration tools play a critical role in extracting data from a variety of sources and making it available for enterprise applications, business intelligence (BI), machine learning (ML) and other purposes. Many organization seek to enhance the value of data for line-of-business managers by enabling self-service access. This is increasingly important as large volumes of unstructured data from Internet-of-Things (IOT) devices are presenting organizations with opportunities for game-changing insights from big data analytics. A new survey of 369 IT professionals, from managers to directors and VPs of IT, by BizTechInsights on behalf of IBM reveals the challe
Tags : 
     Group M_IBM Q2'19
By: Symantec     Published Date: Dec 13, 2017
Enterprise’s are increasingly under threat from sophisticated attacks. In fact, research has found that threats dwell in a customer’s environment an average of 190 days1. These Advanced Persistent Threats use stealthy techniques to evade detection and bypass traditional security defenses. Once an advanced attack gains access to a customer environment the attacker has many tools to evade detection and begin to exploit valuable resources and data. Security teams face multiple challenges when attempting to detect and fully expose the extent of an advanced attack including manual searches through large and disparate data sources, lack of visibility into critical control points, alert fatigue from false positives, and difficulty identifying and fixing impacted endpoints.
Tags : investigation, exposure, attacks, endpoints, network, email, cloud, security, symantec
     Symantec
By: NetApp     Published Date: Sep 24, 2013
"As IT continues to implement advanced capabilities, as well as traditional services such as server virtualization, storage systems become more complex. The complexity only increases because of the rapid growth of data that needs to be managed. View this resource to learn the results of ESG Lab hands-on evaluation of NetApp storage systems with a focus on those enterprise-class capabilities required to manage increasingly large and complex storage environments."
Tags : storage infrastructure, clustered storage, technology, scalability, application, storage solution, non-disruptive operations, storage, data center
     NetApp
By: Dell & Microsoft     Published Date: Aug 14, 2013
Information is the engine of business growth in the digital age. Market intelligence, customer information, intellectual property and other data can be harnessed to create a quantifiable competitive advantage for a company and lay the path for future expansion. Yet as critical as data can be, the sweeping year-over-year proliferation in data volumes can quickly overwhelm an IT organization. This is much more than a budget problem: Without an effective data storage strategy, an organization is putting a critical resource at risk.
Tags : data storage management, microsoft windows server, market intelligence, customer information, intellectual property, data, it organizations, storage strategy
     Dell & Microsoft
By: Dell     Published Date: Sep 12, 2013
Information is the engine of business growth in the digital age. Market intelligence, customer information, intellectual property and other data can be harnessed to create a quantifiable competitive advantage for a company and lay the path for future expansion. Yet as critical as data can be, the sweeping year-over-year proliferation in data volumes can quickly overwhelm an IT organization. This is much more than a budget problem: Without an effective data storage strategy, an organization is putting a critical resource at risk.
Tags : data storage management, microsoft windows server, market intelligence, customer information, intellectual property, data, it organizations, storage strategy
     Dell
By: MarkLogic     Published Date: May 15, 2017
Data is critical to the entertainment industry and not taking advantage of it can keep you from creating great experiences and delivering the right content to partners. And, more than that, it can make it hard for you to optimize operations, get insight into the content’s value and stay ahead of the many changes in how content is created, consumed and monetized. However, even with the new digital tools in production, there are many challenges to making use of this data. The effort involved can take time and resources away from film production, introduce security risks, and leave key data inaccessible to those that need it. In this paper, we review: • The current state of production data • The challenges the entertainment industry is facing in making use of data • A new “Smart Content” approach that is helping industry pioneers to reduce complexity on the set, drive reporting, and enable them to stay ahead of market changes
Tags : 
     MarkLogic
By: CA Mainframe     Published Date: Sep 12, 2008
Increasing infrastructure complexity has led to unprecedented growth in enterprise systems management data on all systems, including the mainframe and it is becoming more complex to manage SMF data.  Download this Technology Brief to learn how to address the complexity of managing SMF data.
Tags : smf, service management, data management, infrastructure, systems management, ca mainframe, mainframe
     CA Mainframe
By: Oracle     Published Date: Jan 08, 2018
Data is a driver of growth and change that is quickly becoming the world's most valuable resource. As such, finance leaders face increased pressure to value data as an asset on their balance sheets and use it to drive business strategy. To capitalize on the power of data, learn how to pinpoint where you are today. what steps you can take to reach your goals and how to measure success.
Tags : 
     Oracle
By: CDW     Published Date: Aug 04, 2016
Tools for extracting actionable insights from growing mounds of data are becoming smarter and easier to use. Organizations are awash in data generated by customers, supply chain partners and numerous other humanand machine-based sources. With the growth of the Internet of Things (IoT) starting to churn out even more data, many enterprises are considering how to transform their growing stores of raw information into actionable insights. Business intelligence (BI) and data analytics were once mostly limited to large enterprises, but 85 percent of small and midsize businesses have expressed interest in these solutions, according Gartner subsidiary Software Advice. Further, Accuray Research reports that the global business intelligence and analytics software market is poised to grow swiftly in the coming years to approximately $24 billion by 2020.
Tags : data, technology, data analytics, business intelligence, enterprise, data analytics, data center
     CDW
By: SAS     Published Date: Oct 18, 2017
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too. Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data. To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
Tags : 
     SAS
By: SAS     Published Date: Apr 25, 2017
Organizations in pursuit of data-driven goals are seeking to extend and expand business intelligence (BI) and analytics to more users and functions. Users want to tap new data sources, including Hadoop files. However, organizations are feeling pain because as the data becomes more challenging, data preparation processes are getting longer, more complex, and more inefficient. They also demand too much IT involvement. New technology solutions and practices are providing alternatives that increase self-service data preparation, address inefficiencies, and make it easier to work with Hadoop data lakes. This report will examine organizations’ challenges with data preparation and discuss technologies and best practices for making improvements.
Tags : 
     SAS
By: IBM Software     Published Date: Feb 16, 2011
IBM Cognos Business Insight changes information delivery for all business users. Watch this recorded event which originally aired on February 15, 2011 to see how this unlimited BI workspace enables business users to create, personalize and interact with all of their information assets. Through demos and discussion, you'll learn how this revolutionary interface lets users: . Satisfy all their information needs in a single, highly intuitive workspace . Blur the lines between business authoring and analysis . Easily create net-new analysis . Enhance existing reports with information from a personal data source Discover how IBM Cognos Business Insight enables self-service BI for business users, while giving IT complete confidence that data will remain secure.
Tags : ibm, cognos, business intelligence, query, analysis
     IBM Software
By: IBM     Published Date: Apr 18, 2017
Master data management (MDM) programs provide ways to ensure that data is consistent in different systems throughout an organization, but poorly managed initiatives are large and complicated affairs. This handbook will provides practical advice on how to develop and implement successful MDM programs that can pay big business dividends. Discover expert advice on: - Strategies and tactics for effective MDM processes - The technology considerations that should be factored into project plans - The ramifications of incorporating pools of “big data” into MDM efforts - And more
Tags : data management, data system, business development, software integration, resource planning, enterprise management, data collection
     IBM
By: NetApp     Published Date: May 29, 2018
The analytics and BI platform market's multiyear shift of focus from IT-led reporting to business-led self-service analytics is now mainstream. Data and analytics leaders should invest in modern platforms for greater accessibility, agility and analytical insight from a diverse range of data sources.
Tags : 
     NetApp
By: IBM     Published Date: Apr 18, 2017
There are myriad software products, from complete CRM platforms that offer analytics to standalone or add-on software products that focus solely on analytics. There are analytics apps that can be added to your existing CRM platform. Or there’s the option to outsource analytics to a growing number of service providers. “The technologies are changing rapidly. There are a zillion startups offering either new tools or technologies, so it is kind of hard to navigate,”Mike Gualtieri, an analystfor Forrester Research Inc. in Cambridge, Mass., said in a recent webcast on analytics. “There isn’t just one platform that you’re going to need. There’s a whole ecosystem of platforms.” Having the right people on staff who know how to use the technology is equally important, analysts say. Analytics aren’t just for statisticians anymore—they’re used by sales, marketing and customer service teams in daily decision making.
Tags : data management, data system, business development, software integration, resource planning, enterprise management, data collection
     IBM
By: Microsoft     Published Date: Jul 20, 2018
Microsoft commissioned Forrester Consulting to conduct a Total Economic Impact™ (TEI) study to examine the potential return on investment (ROI) enterprises may realize by shifting some or all their management and operations from on-premises, hosted, and outsourced implementations to Azure’s infrastructure-as-a-service (IaaS) offering. The purpose of this study is to give readers a framework to evaluate the potential financial impact, or ROI, of leveraging Azure IaaS for their organizations. Benefits gained by interviewed customers that migrated or re-architected some or all workloads from on-premises to IaaS include: › Greater revenue opportunities from business-to-business (B2B) and customer web channels with a solution that is more mobile and reliable, and meets scale and seasonality needs. › Increased profits from those revenues. › Improved production efficiency. › Reduced datacenter, IT resource, and outsourcing costs. › Easier and faster software and hardware management (such as p
Tags : 
     Microsoft
By: IBM     Published Date: Apr 20, 2017
Learn how to protect corporate data when users use personal devices for work. The rapid proliferation of mobile devices entering the workplace appears to be like divine intervention to many IT leaders. Mobile devices and their apps have transformed the way we live – how we communicate, travel, shop, work and so much more. This mobility transformation has been so radical, so revolutionary, that it is hard to imagine life without these devices. Bring Your Own Device (BYOD) was born and employees followed with fervor.
Tags : data management, data system, business development, software integration, resource planning, enterprise management, data collection
     IBM
By: SAS     Published Date: Jul 22, 2019
Text is the largest human-generated data source. It grows every day as we post on social media, interact with chatbots and digital assistants, send emails, conduct business online, generate reports and essentially document our daily thoughts and activities using computers and mobile devices. Increasingly, organizations want to know how all of that data can be used to drive improvements. For many, unstructured text represents a massive untapped data source with great potential for producing valuable insights that could result in significant business transformations or spur incredible social innovation. This paper looks at how organizations in banking, health care and life sciences, manufacturing and government are using SAS text analytics to drive better customer experiences, reduce fraud and improve society.
Tags : 
     SAS
By: Pure Storage     Published Date: Oct 09, 2017
Cloud computing and all-flash storage are two of the most important innovations driving next-generation IT initiatives. While it may seem at first that these are parallel trends, in reality they are inextricably intertwined. Without the benefits of all-flash storage —driving new levels of performance, agility and management simplicity — enterprises would not be able to modernize their infrastructures to deliver cloud services. It is no coincidence that the largest hyperscale cloud providers rely on all-flash storage solutions as their storage foundation. Pure Storage all-flash storage arrays provide enterprise customers with a safe, secure and smooth path to the all-flash cloud. You can take the journey in stages, starting small with a single application or two, and then adding more applications through consolidation and virtualization. You can also implement multiple stages at once.
Tags : data management, data system, business development, software integration, resource planning, enterprise management, data collection
     Pure Storage
Start   Previous    17 18 19 20 21 22 23 24 25 26 27 28 29 30 31    Next    End
Search White Papers      

Add White Papers

Get your white papers featured in the insideHPC White Paper Library contact: Kevin@insideHPC.com