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.
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.
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.
For many financial institutions, traffic from bots (aggregators, scrapers, crawlers) can account for up to 40-60% of their overall website traffic — from good bots engaged in essential business tasks to bad bots performing harmful activities. Banks, traders, asset managers, and insurers might know how much of their traffic is from bots, but what they may not know is the impact those bots may be having on their business.
Read the report to learn more about:
• Managing Financial Data Aggregators
• How Bots Affect the Digital Experience
• What a good bot looks like?
Published By: Infomatica
Published Date: Jul 15, 2015
Read “What it take to deliver advanced analytics” to discover:
Why so many analytics projects suffer and how to avoid the most common missteps
The seven symptoms of bad data and how to spot them
The six principles of intelligent data management and how to put them into practice so you can become a decision-ready enterprise
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!
Published By: Intralinks
Published Date: Apr 13, 2015
The truth is that they can get a lot worse – and no one is immune. Your company’s data has never been at greater risk.
There is no doubt that 2014 was a dire year for many organizations, as they failed to properly protect their computer systems and the data held upon them.
As if it wasn’t bad enough keeping on top of new zero-day vulnerabilities, targeted attacks, and revelations of state-sponsored espionage, users are potentially exposing companies’ most important data by not following best practices and using consumer-grade cloud services that aren’t built with enterprise needs in mind.
An ever more mobile workforce wants to work on their files remotely but may be taking dangerous risks with sensitive corporate data at the same time.
In this white paper, we detail some of the biggest computer security threats of the last year and offer some predictions on what we can expect to see in 2015.
Published 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.
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.
Who's afraid of the big (data) bad wolf? Survive the big data storm by getting ahead of integration and governance functional requirements
Today data volumes are exploding in every facet of our lives. Business leaders are eager to harness the power of big data but before setting out into the big data world it is important to understand that as opportunities increase ensuring that source information is trustworthy and protected becomes exponentially more difficult. This paper provides a detailed review of the best practices clients should consider before embarking on their big data integration projects.
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.
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.
Published By: Worldpay
Published Date: Apr 29, 2015
In 2014, the UK saw online sales exceed £10bn per month. For small businesses, getting online is a great way to increase revenue.
However, there’s no escaping the fact that small e-retailers are most at risk of suffering a data breach and that breaches are increasing. It is your responsibility to keep the card payment data of your customers safe and a failure to secure your systems could be a costly mistake which leads to penalty fines, lost custom and bad publicity.
Worldpay is the leading payments provider in the UK and Europe. Whilst Worldpay has fewer businesses suffering data breaches, compared to our market size, we have a unique oversight on most UK card data breaches. We have compiled our insight and advice into this guide so all businesses, new or old, can ensure they are prepared.
Read When Good Backups Go Bad: Data Recovery Failures and What to Do About Them to understand backup challenges, impacts, and solutions. Don't let your business fall victim to downtime because of a computer or system failure.
Published 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
Siloed data sources, duplicate entries, data breach risk—how can you scale data quality for ingestion and transformation at big data volumes?
Data and analytics capabilities are firmly at the top of CEOs’ investment priorities. Whether you need to make the case for data quality to your c-level or you are responsible for implementing it, the Definitive Guide to Data Quality can help.
Download the Definitive Guide to learn how to:
Stop bad data before it enters your system
Create systems and workflow to manage clean data ingestion and transformation at scale
Make the case for the right data quality tools for business insight
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.
When meeting the needs of a growing infrastructure, do you build or buy? This video illustrates how using the Oracle Database Appliance, which contains the server, software, networking and storage, is easy to deploy and maintain compared to a traditional build scenario, while also being an affordable high availability database solution.
To manage threats to the enterprise and successfully meet compliance challenges, organizations need a comprehensive security strategy that can successfully do battle with inside as well as outside threats. Today, companies are increasingly leveraging security information management (SIM) solutions to build a clean, concise, and manageable process for dealing with the tremendous volumes of raw security information from disparate devices, applications, and databases.
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.
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.
Organizations have a serious “people problem” when it comes to securing networks. It’s time to address the bad habits of all users that have a hand in nearly every major data breach.
Read this white paper to explore the issue and the solution to your cybersecurity “people problem.”
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.