cross enterprise data

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Published By: CA Technologies     Published Date: Aug 22, 2017
Across industry sectors, the boundaries of the traditional enterprise are blurring, as organizations open up their on-premise data and application functionality to partner organizations, the Web, mobile apps, smart devices and the cloud. APIs (application programming interfaces) form the foundation of this new open enterprise, allowing enterprises to reuse their existing information assets across organizational boundaries.
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CA Technologies
Published By: Veritas     Published Date: Apr 06, 2016
Data protection has never been more in the forefront, as information increasingly is the lifeblood and differentiator in a constantly changing world. As the leader we see across the enterprise, which helps solve the larger information management problems that come from accelerating digital business. Keep up with the latest trends and use the following tips to maximize the value of your data protection investment —meeting more demanding SLAs, simplifying management across a complex IT environment, and reducing costs— so you can free up resources to innovate and create business value. Download this whitepaper to learn 8 tips to stay ahead of the top 2016 data protection trends.
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Veritas
Published By: Vehicle Tracking Solutions     Published Date: May 31, 2018
When implementing an enterprise fleet management and telematics solution, enterprise fleets, large and small, see significant value, cost-savings, and operational excellence that result in maximized profits across your organization's bottom line. This guide will assist you in learning about the wide range of benefits from a dynamic enterprise fleet management and telematics software and the latest features empowering fleets to make data-driven decisions that improve safety, efficiency, and productivity to drive long-term quantifiable success.
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Vehicle Tracking Solutions
Published By: Oracle     Published Date: Sep 21, 2016
The job of keeping business data safe has spread across the organization to become an enterprise wide concern. The critical question now—the one that’s being asked, not only by IT but also by CFOs—is “Whether it’s on-premises or in the cloud, how do you keep sensitive data secure?” Your cloud provider should be able to provide the right answers.
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Oracle
Published By: Pure Storage     Published Date: Apr 18, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data. Amazon CEO Jeff Bezos spoke about the potential of artificial intelligence and machine learning at the 2017 Internet Association‘s annual gala in Washington, D.C., “It is a renaissance, it is a golden age,” Bezos said. “We are solving problems with machine learning and artificial intelligence that were in the realm of science fiction for the last several decades. Natural language understanding, machine vision problems, it really is an amazing renaissance.” Machine learning and AI is a horizontal enabling layer. It will empower and improve every business, every government organization, every philanthropy
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Pure Storage
Published By: Pure Storage     Published Date: Oct 09, 2018
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data.
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Pure Storage
Published By: Pure Storage     Published Date: Apr 10, 2019
Massive amounts of data are being created driven by billions of sensors all around us such as cameras, smart phones, cars as well as the large amounts of data across enterprises, education systems and organizations. In the age of big data, artificial intelligence (AI), machine learning and deep learning deliver unprecedented insights in the massive amounts of data
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Pure Storage
Published By: BlackBerry Cylance     Published Date: Jul 02, 2018
Artificial intelligence (AI) seems to be on everyone’s mind. It powers natural language recognition within voice-powered assistants like Siri and Alexa, beats world-class Go players, and enables hyper-targeted e-commerce and content recommendations across the web, as we see with Amazon and Netflix. But recently, AI has begun actively expanding its footprint within the enterprise. Executives are trying to more fully comprehend what AI is and how they can use its insights into their data to better capitalize on business opportunities. This additional information can enable engaging with customers more productively and efficiently, forming an edge against the competition. Read more in our AI survey summary.
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artificial, intelligence, enterprise
    
BlackBerry Cylance
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Complexity, globalization and digitalization are just some of the elements at play in the risk landscape—and data is becoming a core part of understanding and navigating risk. How do modern finance leaders view, navigate and manage enterprise risk with data? Dun & Bradstreet surveyed global finance leaders across industries and business types. Here are the top trends that emerged from the study: 1. The Enterprise Risk & Strategy Disconnect—Finance leaders are using data and managing risk programs, but over 65% of finance leaders say there’s missing link between risk and strategy. 2. The Risks of the Use and Misuse of Data—Up to 50% of the data used to manage modern risk is disconnected. Only 15% of leaders are confident about the quality of their data. 3. Risky Relationships—Only 20% of finance leaders say the data they use to manage risk is fully integrated and shared. Download the study to learn how finance leaders are approaching data and enterprise risk management
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Dun & Bradstreet
Published By: Enterprise Mobile     Published Date: Jul 09, 2013
Device-centric management strategies have prevailed over the last several years, but this approach can no longer keep pace with the increasing number of remote workers who need to access more applications across multiple platforms. Enterprise IT leaders must shift from locking down devices to securing the corporate applications, data, and other proprietary content that reside on these devices. It’s time to move beyond mobile device management to a more holistic management method.
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mobility-as-a service, enterprise mobile, mobility, enterprise mobility, mobile strategy, mobile security, mobile management, device management, enterprise mobile devices, mobile computing
    
Enterprise Mobile
Published By: Enterprise Mobile     Published Date: Jul 14, 2014
Device-centric management strategies have prevailed over the last several years, but this approach can no longer keep pace with the increasing number of remote workers who need to access more applications across multiple platforms. Enterprise IT leaders must shift from locking down devices to securing the corporate applications, data, and other proprietary content that reside on these devices. It’s time to move beyond mobile device management to a more holistic management method.
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managed mobility services, mobility-as-a service, enterprise mobile, mobility, enterprise mobility, mobile strategy, mobile security, mobile management, device management, enterprise mobile devices, wireless
    
Enterprise Mobile
Published By: Enterprise Mobile     Published Date: Dec 11, 2014
Device-centric management strategies have prevailed over the last several years, but this approach can no longer keep pace with the increasing number of remote workers who need to access more applications across multiple platforms. Enterprise IT leaders must shift from locking down devices to securing the corporate applications, data, and other proprietary content that reside on these devices. It’s time to move beyond mobile device management to a more holistic management method.
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managed mobility services, mobility-as-a service, enterprise mobile, mobility, enterprise mobility, mobile strategy, mobile security, mobile management, device management, enterprise mobile devices, wireless
    
Enterprise Mobile
Published By: SAP Inc.     Published Date: Jul 28, 2009
Although many organizations have made significant investments in data collection and integration (through data warehouses and the like), it is a rare enterprise that can analyze and redeploy its accumulated data to actually drive business performance.  In the years to come, as globalization and increased reliance on the Internet further complicate, accelerate and intensify marketplace conditions, actionable business intelligence promises to deliver a formidable competitive advantage to firms that leverage its power.
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sap, business intelligence, business insight, business transparency, cross-enterprise data, inter-enterprise data, data integration, enterprise applications, data management, international computing
    
SAP Inc.
Published By: Cisco EMEA     Published Date: Nov 13, 2017
The HX Data Platform uses a self-healing architecture that implements data replication for high availability, remediates hardware failures, and alerts your IT administrators so that problems can be resolved quickly and your business can continue to operate. Space-efficient, pointerbased snapshots facilitate backup operations, and native replication supports cross-site protection. Data-at-rest encryption protects data from security risks and threats. Integration with leading enterprise backup systems allows you to extend your preferred data protection tools to your hyperconverged environment.
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hyperflex, systems, data platform, storage efficiency, business, cisco
    
Cisco EMEA
Published By: Carbonite     Published Date: Jul 18, 2018
© 2018 Carbonite, Inc. All rights reserved. Case study Diamond Foods’ Diamond of Californiaź 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
Published By: SAS     Published Date: Sep 25, 2008
This white paper provides a blueprint for action for senior marketers and decision makers across the enterprise. It provides straightforward advice on how to build a more durable and profitable customer base by building a more competitive business model, enabling customer-centric business strategies in a product-centric organization, turning expanding volumes of customer data into actionable insight for smarter decision making, and providing a roadmap for integrating technology to achieve competitive advantage.
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competitive advantage, customer data, data collection, business intelligence, customer intelligence, sas
    
SAS
Published By: Flexera     Published Date: Feb 19, 2019
Flexera’s Software Vulnerability Research allows effective reduction of the attack surface for cybercriminals, providing access to verified vulnerability intelligence from Secunia Research covering all applications and systems across all platforms. It drives a prioritized remediation process by handling vulnerability workflows, tickets and alerts, and describes the steps to mitigate the risk of costly breaches. You Don’t Know What You Don’t Know It’s hard for enterprise security analysts to get reliable and trusted information about software vulnerabilities and then identify and filter that data for just the products that matter to their organization. Those challenges lead to wasted time and effort. Learn more.
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Flexera
Published By: SRC,LLC     Published Date: Jun 01, 2009
Today, organizations are collecting data at every level of their business and in volumes that in the past were unimaginable. Data sets are stored in different database systems or in files with distinctive formats, all reflecting business process, application, program software, or information type dependencies. Adding to this complexity is the distribution of these data sets across the enterprise in silos requiring a varied set of tools and/or specialized business rules for data transformation, classification, matching, and integration. Because of the massive amounts of data stored in a variety of representation formats, decision makers strain to derive insights and create business solutions that adequately span and integrate information from these disparate technology islands. Learn more today!
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src, data transformation, classification, business value, geographic business intelligence, geo-bi, etl, extract, transform, load, spatial analysis, operational data stores, ods, spatial data, etl, cdi, point of sale, retail floor space management, rfsm, alteryx
    
SRC,LLC
Published By: Riverbed     Published Date: Feb 26, 2015
To increase agility while lowering costs, IT organizations are using virtualization and cloud-based infrastructure services to consolidate and reduce the number of physical servers and data centers across the enterprise. IDC estimates that, by 2015, more than 20 percent of the information running through servers will do so on virtualized systems. This percentage increases along with the size of the company, with some larger organizations using 100 percent virtualized systems. IDC predicts that, over the next decade, the amount of information managed by enterprise data centers will grow by a factor of 50.
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increase agility, virtualization, infrastructure, the cloud, cloud based, consolidation, it management, business management, cloud computing
    
Riverbed
Published By: Dun & Bradstreet     Published Date: Mar 03, 2017
Stories and statistics behind successful analytics projects The adoption of analytics across the enterprise is accelerating, and with good reason. Analytics can offer a competitive advantage by helping to identify growth opportunities, circumnavigate risk and improve customer relationships. These insights are becoming crucial parts of the business strategy for executives representing a wide array of industries. Check out our latest eBook to see how some of the world’s leading companies are using analytics to meet their needs. You’ll receive diverse examples of how organizations applied the latest statistical methodologies, such as: scorecard build, regression, decision trees, machine learning and material change to uncover meaning in data. The examples represent global brands across critical industries – Financial Services, Insurance, High-Tech, Aerospace, Manufacturing and others – where analytics helped answer their most challenging questions.
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Dun & Bradstreet
Published By: SRC,LLC     Published Date: Jun 01, 2009
To mine raw data and extract crucial insights, business decision‐makers need fast and comprehensive access to all the information stored across their enterprise, regardless of its format or location. Furthermore, that data must be organized, analyzed and visualized in ways that permit easy interpretation of market opportunities growth, shifts and trends and the business‐process changes required to address them. Gaining a true perspective on an organization’s customer base, market area or potential expansion can be a challenging task, because companies use so many relational databases, data warehouse technologies, mapping systems and ad hoc data repositories to gather and house information for a wide variety of specialized purposes.
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src, enterprise, enterprise applications, convergence, compared, counted, combined, reorganized, analyzed, visualized, mapped, database, gis, geographic business intelligence, data independence, etl, csv, delimited text file, mdb (both for microsoft access, esri personal geodatabase
    
SRC,LLC
Published By: Code42     Published Date: Jan 13, 2016
Today’s 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 doesn’t 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 server—organizations 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, security, it management, knowledge management, enterprise applications
    
Code42
Published By: CA Technologies EMEA     Published Date: May 23, 2018
Increasingly, enterprises are opening their data and applications to partners, developers, mobile apps and cloud services. APIs provide a standardized way to open up information assets across the web, mobile devices, serviceoriented architecture (SOA) and the cloud. However, to make API information sharing safe, reliable and cost-effective, enterprises must deal with critical security, performance management and data adaptation challenges. CA API Management combines advanced functionality for back-end integration, mobile optimization, cloud orchestration and developer management. It is unique in its ability to address the full breadth of enterprise API management challenges.
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CA Technologies EMEA
Published By: IBM     Published Date: Apr 18, 2017
The data integration tool market was worth approximately $2.8 billion in constant currency at the end of 2015, an increase of 10.5% from the end of 2014. The discipline of data integration comprises the practices, architectural techniques and tools that ingest, transform, combine and provision data across the spectrum of information types in the enterprise and beyond — to meet the data consumption requirements of all applications and business processes. The biggest changes in the market from 2015 are the increased demand for data virtualization, the growing use of data integration tools to combine "data lakes" with existing integration solutions, and the overall expectation that data integration will become cloud- and on-premises-agnostic.
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data integration, data security, data optimization, data virtualization, database security, data analytics, data innovation
    
IBM
Published By: IBM     Published Date: Oct 03, 2017
Many new regulations are spurring banks to rethink how data from across the enterprise flows into the aggregated risk and capital reports required by regulatory agencies. Data must be complete, correct and consistent to maintain confidence in risk reports, capital reports and analytical analyses. At the same time, banks need ways to monetize, grant access to and generate insight from data. To keep pace with regulatory changes, many banks will need to reapportion their budgets to support the development of new systems and processes. Regulators continually indicate that the banks must be able to provide, secure and deliver high-quality information that is consistent and mature.
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data aggregation, risk reporting, bank regulation, enterprise, reapportion budgets
    
IBM
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