bad data

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By: Dun & Bradstreet     Published Date: Apr 21, 2016
Is your well-worn playbook in need of a refresh? What worked best for B2B marketers last year may not help you optimize a moment with a customer or prospect today. All too often, baked in processes get in the way of delighting customers. If you’re a B2B marketer who wants to be a game changer, you have come to the right place. This reader is for marketers who crave to poke and pull apart the “tried and true”. Break the cycle of “best practice” rituals and ask yourself these questions: - When was the last time you made a truly bold move in your marketing? - Do you have any idea how bad your data problem really is? -How long will you continue to create sales content nobody uses? We answer these questions and more- download the free guide today!
Tags : marketing strategies, hoover's, b2b marketer, analytics
     Dun & Bradstreet
By: IBM     Published Date: Nov 14, 2017
Data is the hottest topic in business today. In discussions that range from understanding performance to predicting future outcomes, data is at the core. However, data has a bad reputation. Because businesses have been collecting data for decades, the amount that we must analyze can seem insurmountable. Simply saying “data” is enough to conjure images of someone poring over a thick stack of spreadsheets, manually going through row after row to identify performance, trends and figure out what to do with them. This intimidating view is all too common.
Tags : data, ibm, data insight, data analytics
     IBM
By: Cisco     Published Date: Jun 21, 2016
Adversaries and defenders are both developing technologies and tactics that are growing in sophistication. For their part, bad actors are building strong back-end infrastructures with which to launch and support their campaigns. Online criminals are refining their techniques for extracting money from victims and for evading detection even as they continue to steal data and intellectual property.
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     Cisco
By: Data Center Frontier LLC     Published Date: Nov 11, 2019
Data center cable management is often considered a problem reserved for network engineering teams, but bad cable design can wreak havoc across your entire enterprise. “Spaghetti” cabinets and other symptoms of ill-considered cabling make it more difficult to complete equipment installations, troubleshooting, and maintenance. They can create an unsafe operating environment for your equipment by restricting airflow to racks, trapping dust, keeping cables warm, and making it impossible to understand at a glance how your devices are connected. Bad cable management practices can even hinder modern data center environments from adapting to new technologies like IoT and big data, provisioning IT resources on demand to support business innovation, and utilizing data center capacity to promote scalability, efficiency, and cost effectiveness.
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     Data Center Frontier LLC
By: eDataSource     Published Date: Jan 05, 2015
There is a lot of email-marketing advice floating around out there. And, frankly, a lot of it is bad. Hunches and conventional wisdom DO NOT drive sound marketing decisions. Data does. And the fresh the data, the BETTER!
Tags : email marketing, email competitive information, informative marketing, email competitive profile
     eDataSource
By: Resource     Published Date: Dec 04, 2018
What’s a common characteristic of the best talent? They all have jobs. In today’s marketplace, to get the best talent you have to convince them your opportunity is better than what they currently have. The good news: it can be done - and you can win consistently with a deliberate outbound process. The bad news: it requires an intentional approach which is challenging without the right tools and data. Your success depends on your ability to build a repeatable process to identify and recruit a steady volume of high quality applicants. The way to accelerate and scale your outbound process is to benchmark and refine it regularly using data. Below we’ll walk through the steps to building a data-driven recruiting process, based on.. you guessed it.. data.
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     Resource
By: IBM     Published Date: Jul 07, 2015
Learn about information integration and governance for data warehousing and big data and analytics.
Tags : data warehouse, bad data, big data, mobility, compute-intensive apps, virtualization, cloud computing, scalable infrastructure
     IBM
By: IBM     Published Date: Sep 15, 2014
Download this ebook to learn the requirements for delivering trusted information to a modern data warehouse and the guiding principles for trusted information in next generation data warehouse environments.
Tags : ibm, data warehouse, data warehousing, hadoop, trusted data, data
     IBM
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.
Tags : ibm, idc, big data, data, analytics, information governance, data management, data center
     IBM
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.
Tags : ibm, idc, big data, data, analytics, information governance, enterprise applications, data management
     IBM
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.
Tags : big data, data warehouse, data center, information governance, analytics, big data analytics, business management, data management
     IBM
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.
Tags : big data, analytics, unstructured content, enterprise information, ibm, security, it management, storage
     IBM
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.
Tags : big data, ibm, big data outcomes, information governance, big data analytics, it management, data management, data center
     IBM
By: Cisco     Published Date: Jun 16, 2016
Adversaries and defenders are both developing technologies and tactics that are growing in sophistication. For their part, bad actors are building strong back-end infrastructures with which to launch and support their campaigns. Online criminals are refining their techniques for extracting money from victims and for evading detection even as they continue to steal data and intellectual property.
Tags : security, technology, security tactics, data
     Cisco
By: Cisco     Published Date: Feb 16, 2016
Adversaries and defenders are both developing technologies and tactics that are growing in sophistication. For their part, bad actors are building strong back-end infrastructures with which to launch and support their campaigns. Online criminals are refining their techniques for extracting money from victims and for evading detection even as they continue to steal data and intellectual property.
Tags : technology, infrastructure management, security
     Cisco
By: Cyveillance     Published Date: Apr 03, 2015
Cyber threat intelligence is unquestionably a hot buzzword in the security industry these days. It is being used to seek venture capital and fund startups. It is being pitched to the enterprise market by providers and consultants. However, in this paper, we argue that the majority of what is being billed as “threat intelligence” isn’t. It’s data. From lists of bad IPs or application vulnerabilities to malware signatures, social media data or indicators of compromise (“IOCs”), none of these things are “intelligence.” They’re data. In this white paper, we define the difference between intelligence and data, and then illustrate the theoretical discussion in a concise case study in the tangible terms of a real-world practitioner and an actual event.
Tags : cyber threat, intelligence, centure capital, startup, enterprise, security, protection, data
     Cyveillance
By: F5 Networks Inc     Published Date: Dec 08, 2017
The world set a new record for data breaches in 2016, with more than 4.2 billion exposed records, shattering the former record of 1.1 billion in 2013. But if 2016 was bad, 2017 is shaping up to be even worse. In the first six months of 2017, there were 2,227 breaches reported, exposing over 6 billion records and putting untold numbers of accounts at risk. Out of all these stolen records, a large majority include usernames and passwords, which are leveraged in 81 percent of hacking-related breaches according to the 2017 Verizon Data Breach Investigations Report. Faced with ever-growing concerns over application and data integrity, organizations must prioritize identity protection in their security strategies. In fact, safeguarding the identity of users and managing the level of access they have to critical business applications could be the biggest security challenge organizations face in 2017.
Tags : data breach, credential stuffing, system security, security
     F5 Networks Inc
By: SAP     Published Date: Mar 24, 2011
As you prepare to embark on an ERP implementation or to upgrade an existing system, you have a lot to juggle and plan. You know the horror stories of "go-lives" going bad but you aren't sure how to avoid the pitfalls. This white paper discusses at length how Utopia's formal data migration methodology reduces the risks of large systems deployments by using a tried-and-tested framework for the entire migration process, from source data analysis through post-go-live support.
Tags : data migration management, source data analysis, data integrity, erp implementation
     SAP
By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
As the information age matures, data has become the most powerful resource enterprises have at their disposal. Businesses have embraced digital transformation, often staking their reputations on insights extracted from collected data. While decision-makers hone in on hot topics like AI and the potential of data to drive businesses into the future, many underestimate the pitfalls of poor data governance. If business decision-makers can’t trust the data within their organization, how can stakeholders and customers know they are in good hands? Information that is not correctly distributed, or abandoned within an IT silo, can prove harmful to the integrity of business decisions.
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     Group M_IBM Q2'19
By: Melissa Data     Published Date: Nov 18, 2008
Tom Brennan and John Nydam explain the Melissa Data and Stalworth partnership, discuss the business problems caused by bad data, and describe how DQ*Plus provides a complete data quality solution for enterprise applications and commercial databases.
Tags : melissa data, data quality, contact data verification, address verification, validate address, address verification software, address verify, address validation software
     Melissa Data
By: Forcepoint     Published Date: Jun 06, 2019
Your people access and share data using a myriad of different cloud apps. The bad news is, you probably have no idea how your data is used, where it travels to and the level of associated risk. You’ve lost visibility and control. The good news is, we can help get it back. Register now for a FREE Cloud Threat Assessment and detailed report of your cloud-application risk posture. This in-depth assessment will show you: Cloud usage patterns. How potentially harmful activities happen in cloud applications across your organization. Geographical usage. Which countries your data is traveling to and from (you may be surprised). Privileged users. Do you have more administrators than you need? Dormant users. Are you overspending on unused licenses? Riskiest users. Who are your riskiest users and why? You'll receive customized assessments on Office365, Box, G Suite, and Salesforce.com.
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     Forcepoint
By: AlienVault     Published Date: Oct 21, 2014
Have you ever wondered how the bad guys actually get control of a system? And, how they convert that system into a data-syphoning droid? Join AlienVault security engineer, Tom D'Aquino as he walks you through the steps of a system compromise and how detect these nefarious activities at every stage. You'll learn: • How attackers exploit vulnerabilities to take control of systems • What they do next to find & exfiltrate valuable data • How to catch them before the damage is done with AlienVault USM Using a real-world example of a common vulnerability, Tom will show you how AlienVault USM gives you the evidence you need to stop an attack in its tracks.
Tags : vulnerability, management, risk, prioritize, profile, environment, data, asset value
     AlienVault
By: EverString     Published Date: Jul 27, 2018
You have lots of leads, but finding the right match is getting harder and harder. You know the good leads are out there. They might even be looking for you. The trouble is, those good leads are hidden among so many bad ones. Your sales and marketing teams know this. They’re facing a deluge of data, not all of it reliable, and they’re trying to decode that data using outdated point solutions and imperfect criteria. Which means a lot of time spent running campaigns, initiating conversations and booking meetings that go nowhere. If this were the dating world, we’d be talking about a calendar full of bad first dates. Everyone’s “swiping right,” but no one’s truly matching. No one’s getting a second date. No one’s committing. Something just isn’t working. We can’t help you if you’re dating. But if you’re trying to sell your company’s products and services—well, the game is about to change. Instead of moving through a volume of potential customers as quickly as possible to build pipeline, th
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     EverString
By: IBM     Published Date: Jan 19, 2017
The outcome of any big data analytics project, however, is only as good as the quality of the data being used. As big data analytics solutions have matured and as organizations have developed greater expertise with big data technologies he quality and trustworthiness of the data sources themselves are emerging as key concerns. 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.
Tags : ibm, analytics, ecm, data, big data, information governance, enterprise applications, data management
     IBM
By: Gigamon     Published Date: Jun 21, 2019
Organisations have invested heavily in cybersecurity tools and yet more than five million data records are lost or stolen every day. The problem is not that today’s cybersecurity tools are badly designed or missing features, the problem is that surging volumes of network traffic overwhelm security tools, causing administrators to use sampling or disable advanced features in order to preserve application performance. Also, security tools and IT staff don’t get all the data they need to detect and respond to outside attacks and insider incidents, because they are faced with “blind spots” in data collection. Read this business brief in local language to find out how
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     Gigamon
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