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Results 476 - 500 of 3669Sort Results By: Published Date | Title | Company Name
Published By: Jamf     Published Date: Jun 07, 2018
A decade ago, Mac was an uncommon sight in many businesses and routinely ignored by corporate IT — but times have changed.
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Jamf
Published By: IBM Software     Published Date: Jan 25, 2012
Business analytics is the means by which organizations optimize business outcomes. Using insights that can be accessed, shared and acted on by employees at every level, organizations can increase profits, reduce costs, manage risk and make more accurate predictions to prepare for future outcomes. Learn why analytics-driven organizations outperform their peers.
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ibm, cognos, business intelligence, technology, analytics, business analytics
    
IBM Software
Published By: HP - Enterprise     Published Date: Jun 04, 2013
Businesses are overwhelmed with data; it’s a blessing and a curse. A curse because it can overwhelm traditional approaches to storing and processing it. A blessing because the data promises business insight that never existed earlier. The industry has spawned a new term, “big data,” to describe it. Now, IT itself is overwhelmed with its own big data. In the press to roll out new services and technologies—mobility, cloud, virtualization—applications, networks, and physical and virtual servers grow in a sprawl. With them comes an unprecedented volume of data such as logs, events, and flows. It takes too much time and resources to sift through it, so most of it lies unexplored and unexploited. Yet like business data, it contains insight that can help us solve problems, make decisions, and plan for the future.
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data research, big data, virtualization, applications, networks
    
HP - Enterprise
Published By: ConnectWise     Published Date: Aug 22, 2019
There is a better way to master your client’s network, and it all begins with better network management strategies and tools that go beyond endpoint management alone. With these new solutions, you can drive down wait times through dynamic self-help options, see all of the device connections to take action before something goes wrong, and script out solutions for common problems—all from information in one easy and convenient place.
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ConnectWise
Published By: Panasonic     Published Date: Oct 01, 2019
From smartphones and cloud computing to ride-sharing services and electric cars, disruptive technology is changing the way we live – and nobody understands disruption better than startups. Whether they’re independent entities funded by VCs or emerging companies within the walls of a large corporation, startups recognize the power of technology to solve problems and improve lives, and they have been instrumental in challenging the status quo and shaping our society. But startups can’t be expected to do it all alone. Lean operating budgets and a need to move quickly demand that these organizations make efficient use of their limited resources – and that means not “reinventing the wheel” when it comes to their underlying tech. By working with the right partner who can provide the right resources and expertise at the right time, startups are free to focus on what matters most: bringing their innovation to market.
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Panasonic
Published By: Diligent     Published Date: Jun 15, 2016
When it comes to gambling, whether online or on the high street, William Hill is one of the world’s leading players. Employing nearly 16,000 people, the company has offices in the UK, USA, Australia and Gibraltar and offers betting to meet the needs of diverse customers: on the phone, online or in one of more than 2,300 licensed betting offices. William Hill has been a Diligent Boards™ client since 2013.
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board meeting, online meetings, meetings, diligent
    
Diligent
Published By: Adobe     Published Date: Aug 09, 2017
First impressions matter, and the right imagery can mean the difference between content that moves the needle and content that’s ignored. Read our guide Beyond 1000 Words to learn: • Why the imagery you choose should be as strategic as the written message behind it • How to use imagery to enhance the impact of your content marketing efforts • What types of imagery you should use to meet your brand objectives
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imagery, impressions, content marketing, brand objectives
    
Adobe
Published By: Adobe     Published Date: Dec 07, 2017
With more and more competition for our increasingly short attention spans, it’s no wonder we’re seeing reliance on visuals as the leading form of communication across the web. Even the most well-thought-out ideas and well-written content will get lost in the shuffle if the visual elements aren’t equally compelling—or don’t communicate the right message. That’s why the imagery you choose should be as strategic as the written message behind it. It’s not enough to settle for the first applicable image you find in your stock library—you need to ensure every image is on brand and conveys the right idea. Download this whitepaper for a few ways to use imagery to meet your brand’s content marketing objectives.
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Adobe
Published By: Eloqua     Published Date: Jan 19, 2012
Marketing has long worked to support their sales teams by providing them with a steady flow of qualified leads. The use of agreed upon criteria for defining a qualified lead has resulted in a reduction of historical challenges in lead follow-up, but has yielded high volumes of unqualified leads.
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eloqua, marketing, marketing automation, sales, sales support, lead volume
    
Eloqua
Published By: SAP     Published Date: Nov 04, 2015
This report examines the challenges associated with the practice of contextual marketing. It is based on a series of interviews with experts and practitioners.
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sap, contextual marketing, personalization, marketing messages, creative challenges
    
SAP
Published By: ColdSpark     Published Date: Feb 23, 2007
Though legacy open-source email network applications like sendmail and postfix are widely used, the escalating demands of today's enterprise environments have outpaced their capabilities. Large organizations must now look to implement a true enterprise mail transport platform to support the standards of their current and growing business. Learn how to modernize your email system now.
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email, email infrastructure, sendmail, postfix, email server, email servers, email routing, email platform
    
ColdSpark
Published By: MarkLogic     Published Date: Jun 09, 2017
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Why change? In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that organizations have in their data centers. It is for this reason that leading organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic
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MarkLogic
Published By: MarkLogic     Published Date: Nov 07, 2017
Today, data is big, fast, varied and constantly changing. As a result, organizations are managing hundreds of systems and petabytes of data. However, many organizations are unable to get the most value from their data because they’re using RDBMS to solve problems they weren’t designed to fix. Why change? In this white paper, we dive into the details of why relational databases are ill-suited to handle the massive volumes of disparate, varied, and changing data that organizations have in their data centers. It is for this reason that leading organizations are going beyond relational to embrace new kinds of databases. And when they do, the results can be dramatic.
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MarkLogic
Published By: EdgeWave     Published Date: Oct 15, 2011
In this white paper, you'll learn top email threats beyond spam in the age of blended threats and what you can do to protect your business.
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web filter for enterprise, web security, email security, messaging security, spam, security, blended threats, email
    
EdgeWave
Published By: IBM     Published Date: Feb 19, 2015
Optimizing healthcare IT investments for better business and care outcomes.
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business optimization, healthcare it investments, emr, ibm
    
IBM
Published By: FICO     Published Date: Sep 02, 2016
Leading businesses have aggressively adopted prescriptive analytics to assess the different outcomes of potential decisions and identify the best one(s) for handling a future scenario. As companies progress their use of advanced analytics, they derive exponentially more value from their data and decisions. These five case studies highlight how five banks are using FICO optimization to boost portfolio profits by 26% or more; increase approved transactions by $100+ million; and even generate 6:1 ROI in just six months.
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prescriptive analytics, fico, advanced analytics, fico optimization, portfolio profits, roi
    
FICO
Published By: SAS     Published Date: Mar 01, 2012
Learn what criteria distinguished certain companies as top performers within the SMB sector, the factors to consider when assessing your organization's BI competency and the required actions to achieve best-in-class performance.
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sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics
    
SAS
Published By: Teradata     Published Date: Feb 26, 2013
This survey and research report discusses shifts in the data management landscape and the movement to align data with operational and analytical workloads creating the best possible unified data architecture platform. Read on to learn more.
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big data, survey report, data management, landscape, movement, align data, operational and analytics workloads, business intelligence
    
Teradata
Published By: SAP     Published Date: May 18, 2014
New data sources are fueling innovation while stretching the limitations of traditional data management strategies and structures. Data warehouses are giving way to purpose built platforms more capable of meeting the real-time needs of a more demanding end user and the opportunities presented by Big Data. Significant strategy shifts are under way to transform traditional data ecosystems by creating a unified view of the data terrain necessary to support Big Data and real-time needs of innovative enterprises companies.
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sap, big data, real time data, in memory technology, data warehousing, analytics, big data analytics, data management
    
SAP
Published By: IBM     Published Date: Aug 05, 2014
There is a lot of discussion in the press about Big Data. Big Data is traditionally defined in terms of the three V’s of Volume, Velocity, and Variety. In other words, Big Data is often characterized as high-volume, streaming, and including semi-structured and unstructured formats. Healthcare organizations have produced enormous volumes of unstructured data, such as the notes by physicians and nurses in electronic medical records (EMRs). In addition, healthcare organizations produce streaming data, such as from patient monitoring devices. Now, thanks to emerging technologies such as Hadoop and streams, healthcare organizations are in a position to harness this Big Data to reduce costs and improve patient outcomes. However, this Big Data has profound implications from an Information Governance perspective. In this white paper, we discuss Big Data Governance from the standpoint of three case studies.
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ibm, data, big data, information, healthcare, governance, technology, it management
    
IBM
Published By: IBM     Published Date: Jul 08, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance, data center
    
IBM
Published By: IBM     Published Date: Oct 18, 2016
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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ibm, idc, big data, data, analytics, information governance, enterprise applications, data center
    
IBM
Published By: IBM     Published Date: Jul 14, 2015
This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, data warehouse, data center, information governance, analytics, big data analytics, business management
    
IBM
Published By: IBM     Published Date: Apr 06, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, analytics, unstructured content, enterprise information, ibm, security, it management
    
IBM
Published By: IBM     Published Date: Feb 24, 2015
Big data analytics offer organizations an unprecedented opportunity to derive new business insights and drive smarter decisions. The outcome of any big data analytics project, however, is only as good as the quality of the data being used. Although organizations may have their structured data under fairly good control, this is often not the case with the unstructured content that accounts for the vast majority of enterprise information. Good information governance is essential to the success of big data analytics projects. Good information governance also pays big dividends by reducing the costs and risks associated with the management of unstructured information. This paper explores the link between good information governance and the outcomes of big data analytics projects and takes a look at IBM's StoredIQ solution.
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big data, ibm, big data outcomes, information governance, big data analytics, it management, data center
    
IBM
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