cross enterprise data

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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: 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: 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
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Gigaom
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
    
Code42
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: Datawatch     Published Date: Mar 21, 2014
Big Data is not a new problem. Companies have always stored large amounts of data—structured like databases, unstructured like documents—in multiple repositories across the enterprise. The most important aspect of big data is not how big it is, or where it should be stored, or how it should be accessed. It’s the efficacy of business intelligence tools to plumb its depths for patterns and trends, to derive insight from it that will give companies competitive advantage in an increasingly challenging business climate. Visualization allows companies to analyze big data in real-time across a variety of sources in order to make better business decisions.
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visual data discovery, decision making software, data variety, business analysis, data visualization, big data, business analytics, business intelligence
    
Datawatch
Published By: IBM MaaS360     Published Date: Oct 09, 2015
Mobilephobia: A family of fears typically impacting CISOs and other security professionals associated with embracing and deploying a mobile security strategy that enables access across the enterprise, sharing of corporate data or interaction with associates, customers and other third parties via mobile devices and applications.
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fiberlink, ciso, security, mobile, mobilephobia, corporate data, networking, mobile computing
    
IBM MaaS360
Published By: IBM     Published Date: Oct 09, 2015
Mobilephobia: A family of fears typically impacting CISOs and other security professionals associated with embracing and deploying a mobile security strategy that enables access across the enterprise, sharing of corporate data or interaction with associates, customers and other third parties via mobile devices and applications.
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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
Published By: Bocada     Published Date: Aug 21, 2009
Today, the common approach to collecting information about computing activity across the enterprise is to use software agents installed on individual clients and servers. However, when this approach is applied to data protection management in the enterprise environment, it has proven both ineffective and inefficient.
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data protection, network security, software agent, agentless, bocata, bocada, servers
    
Bocada
Published By: IBM     Published Date: May 30, 2008
Businesses need a better way to leverage information, manage analytic results and glean business insights across the enterprise.  Are you seeking a simple, flexible and optimized solution?  Watch this short video to learn about IBM's Balanced Warehouse -- the complete ‘ready-to-go’ data warehousing solution comprised of pre-tested, scalable and fully-integrated system components of DB2 Warehouse, Server and Storage.
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business intelligence, data warehousing, warehouse, ibm, leveraging information, li campaign, ibm li, information management
    
IBM
Published By: TeraCloud     Published Date: Dec 11, 2007
Storage spawns where it is needed. This leaves IT to manage many islands of storage devices scattered across the enterprise. Compliance requirements, multimedia-rich applications, unstructured content and a proliferation of databases are pushing IT departments to increase the size and complexity of their storage networks. All of this is occurring at a time when the need for centralized storage management has never been greater.
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storage, storage management, infrastructure, compliance, tsa, teracloud, teracloud storage analytics, san
    
TeraCloud
Published By: Intel Security     Published Date: Oct 20, 2015
Modern hybrid data centers, which embrace physical, virtual, and cloud servers, require a new security mindset. The biggest challenges faced by IT in this type of environment is workload discovery, comprehensive security with minimal performance impact, and management. This white paper offers insights into how McAfee Server Security Suites tackles all of these challenges and provides better visibility across the entire enterprise data center.
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data center security, datacenter security, server security, endpoint security, virtual system security, data center virtualization, datacenter virtualization, virtual data center
    
Intel Security
Published By: Dun & Bradstreet     Published Date: Feb 21, 2017
As the volume of data coming into organizations – from both internal and external sources – continues to grow and makes its way across departmental systems in many different formats, there is a critical need to create a single, holistic view of the key data entities in common use across the enterprise. Master Data Management (MDM) aims to accomplish this goal. Not surprisingly, MDM has become a significant priority for global enterprises, with the market expected to triple from $9.4B to $26.8B by 2020 according to analysts. The reality, though, is that while seemingly everyone is investing heavily in the tools to manage data, few are putting a great enough emphasis on the data itself. And that’s a problem. Poor data quality is said to be costing businesses $3.1 trillion annually – and that’s just in the US alone. The information being put into MDM tools must be mastered first and foremost.
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managing data, data management insight, mdm, master data management
    
Dun & Bradstreet
Published By: ttec     Published Date: Jul 24, 2019
Data drives decision making across the enterprise. For sales executives, it’s critical to have information about where to focus outreach and understand what potential customers are looking for. But having data for its own sake won’t do much good. With advanced tools and a customerfocused mindset, companies are learning things about prospects never before possible. Thanks to advanced insights and machine learning that process algorithms and crunch millions of data points, new purchase patterns and propensity models are emerging to guide sales leaders as to what will work best for their business. Read this paper to learn how to act on advanced insight in the sales and marketing process. Highlights include: The enormous potential of new data tools and analysis Resources needed to act on the insight Company examples Strategic and operational recommendations
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ttec
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