Cookie policy: This site uses cookies (small files stored on your computer) to simplify and improve your experience of this website. Cookies are small text files stored on the device you are using to access this website. For more information on how we use and manage cookies please take a look at our privacy and cookie policies. Some parts of the site may not work properly if you choose not to accept cookies.

sections
 

data risk management

Results 1 - 25 of 125Sort Results By: Published Date | Title | Company Name
Published By: SPSS     Published Date: Mar 31, 2009
This whitepaper details how predictive analysis can help your business.  Predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the technology sector.
Tags : 
spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence, data analysis, analytical methods, strategic planning, customer intimacy, crm, best practices, business intelligence, statistics, statistical analysis, data management, decision-making
    
SPSS
Published By: SPSS, Inc.     Published Date: Mar 31, 2009
This whitepaper details how predictive analysis can help your business.  Predictive analytics help you make better, faster decisions, giving your organization a significant competitive advantage in the marketing sector.
Tags : 
spss, predictive analysis, roi, data, data driven decision making, mitigate risk, fraud, real time intelligence, data analysis, analytical methods, strategic planning, customer intimacy, crm, best practices, business intelligence, statistics, statistical analysis, data management, decision-making
    
SPSS, Inc.
Published By: NAVEX Global     Published Date: Dec 07, 2017
Good analysis and benchmarking of hotline data helps organisations answer crucial questions about their ethics and compliance programme, including: Does our culture support employees who raise concerns? Are our communications with employees reaching the intended audiences and having the desired effect? Are our investigations thorough and effective? Do we need more training? Do we need to review or update our policies? Do employees know about our reporting channels? Comparing internal data year over year to help answer these questions is important. But getting a broader perspective on how your performance matches up to industry norms is critical. This year’s analysis of our EMEA & APAC data from nearly 14,000 ethics and compliance hotline reports revealed key data points that compliance professionals can use to benchmark and assess their programme’s performance, and move toward predictive risk mitigation.
Tags : 
navex, ethics and compliance software, hotline data, risk mitigation, incident management systems
    
NAVEX Global
Published By: Group M_IBM Q2'19     Published Date: Apr 03, 2019
The growing need for data governance, risk and compliance, data analysis and data value still drives strategic requirements in metadata management and the growth of its solutions. Data and analytics leaders can use this vendor evaluation to find the most appropriate solution for their organization.
Tags : 
    
Group M_IBM Q2'19
Published By: SAS     Published Date: Mar 01, 2012
This white paper provides a top-level overview explaining what business analytics can do for your company - and the 8 key steps to accelerating product innovation, optimizing pricing and discovering drivers of financial performance.
Tags : 
sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
    
SAS
Published By: SAS     Published Date: Feb 29, 2012
This paper provides an intro to managers and marketing professionals applying analytics to marketing to significantly improve outcomes. It explains not only why you need to make this shift, but also how you get started and what tools you'll need.
Tags : 
sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
    
SAS
Published By: Pillar Data Systems     Published Date: Apr 20, 2010
In this brief 23-minute on-demand Webinar, opinion leaders from Pillar Data Systems and industry experts from featured analyst firm, Gartner, Inc., break down the challenges that today's organizations face and help them to select a flexible storage platform that will adapt to changing business and application requirements while minimizing risks and reducing management complexity.
Tags : 
pillar data systems, modern storage infrastructure, it infrastructure, productivity, tco, green it, data, infrastructure, green computing
    
Pillar Data Systems
Published By: BitSight Technologies     Published Date: Aug 02, 2016
Organizations today aren’t just single entities—they are networks of partners, vendors, and third parties. While interconnected networks are critical for success in most businesses, they also leave data more vulnerable to exposure from bad actors. Because of this, vendor risk management (VRM) is a critical business practice.
Tags : 
    
BitSight Technologies
Published By: IBM     Published Date: Jan 27, 2017
High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-c entric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
Tags : 
    
IBM
Published By: IBM     Published Date: Jul 26, 2017
With the advent of big data, organizations worldwide are attempting to use data and analytics to solve problems previously out of their reach. Many are applying big data and analytics to create competitive advantage within their markets, often focusing on building a thorough understanding of their customer base. High-priority big data and analytics projects often target customer-centric outcomes such as improving customer loyalty or improving up-selling. In fact, an IBM Institute for Business Value study found that nearly half of all organizations with active big data pilots or implementations identified customer-centric outcomes as a top objective (see Figure 1).1 However, big data and analytics can also help companies understand how changes to products or services will impact customers, as well as address aspects of security and intelligence, risk and financial management, and operational optimization.
Tags : 
customer analytics, data matching, big data, competitive advantage, customer loyalty
    
IBM
Published By: CA Technologies     Published Date: Apr 06, 2017
Privileged Access Management is an imperative to addressing PCI compliance. Yet its importance extends beyond just meeting PCI compliance requirements as it allows an organization to improve its overall security posture against today’s external and internal threats. CA Privileged Access Manager provides an effective way to implement privileged access management in support of PCI compliance and other security needs.
Tags : 
data assets, risk management, it security, session management, authentication management, security intelligence, information management, infrastructure management, database platforms, account management
    
CA Technologies
Published By: SAS     Published Date: Mar 01, 2012
The traditional managed reporting approach to BI is challenged to keep up with changing demand for business information. This research finds that providing business users with highly visual/interactive tools can help ensure they get what they need.
Tags : 
sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
    
SAS
Published By: SAS     Published Date: Feb 29, 2012
This collection is part of the ANA Magazine Thought Leadership Series sponsored by SAS. The articles explore the variety of ways to use analytics to create marketing functions that are more accountable and profitable.
Tags : 
sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
    
SAS
Published By: SAS     Published Date: Jul 02, 2012
In this special Insights report, we highlight growing businesses that once thought the only analysis they could do was on a spreadsheet and that analytics was something for large companies.
Tags : 
small business, big data, risk management, sas
    
SAS
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
Tags : 
    
Dun & Bradstreet
Published By: Kaseya     Published Date: Mar 13, 2013
A holistic, forward-looking and flexible IT security strategy can help organizations avoid common pitfalls and meet security threats head on in a cost and time efficient manner.
Tags : 
kaseya, it security, security threats, scott crawford, enterprise management associates, ema, disaster recovery, data protection, compliance, data security, business continuity, anti virus, anti spam, malware, endpoint security, risk management
    
Kaseya
Published By: SAS     Published Date: Mar 20, 2012
The banking sector routinely manages massive amounts of data, ranging from financial transactions to customer, operational and regulatory data. All this data means big challenges - but also big opportunities - for the industry. Find out more now!
Tags : 
sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management
    
SAS
Published By: IBM     Published Date: Dec 30, 2008
Does your business need to safeguard information, keep auditors and regulators satisfied, and improve data quality? Data governance is the answer. This informative video outlines the latest challenges and best practices in data governance. IBM data governance solutions help businesses with:• Audit and reporting • Data architecture/infrastructure • Data quality • Information lifecyle management • Metadata/business glossaries • Organizational design/development • Policy/risk management • Security/privacy/compliance • Stewardship/value creation
Tags : 
ibm, data governance, safeguard information, data quality, data architecture, data infrastructure, information lifecycle management, metadata, business glossaries, organizational design, organizational development, policy management, risk management, security, privacy, compliance, stewardship, value creation, enterprise applications
    
IBM
Published By: Tripwire     Published Date: Mar 31, 2009
How do organizations pass their PCI DSS audits yet still suffer security breaches? Paying attention to PCI DSS checklists only partially secures the cardholder environment. Learn the next steps for fully securing your data.
Tags : 
tripwire, pci checklist, security, cardholder security, enhanced file integrity monitoring, pci dss audits, security breaches, compliance, regulation, configuration assessment, it security, global payment system, risk, risk management, firewall, data protection, cis, disa, sans, routers
    
Tripwire
Published By: IBM     Published Date: Apr 09, 2015
A number of network security technologies have arisen that claim to be the "next generation" of network defense - but what does this concept actually mean? How is the threat landscape changing the way we think about and deploy network security solutions? Scott Crawford, Managing Research Director, Security and Risk Management at EMA Research provides insight into what we can expect in the area of network security and how to leverage new technologies to meet today's security challenges in light of other considerations such as overall complexity and peformance.
Tags : 
data security, ibm, risk management, network security, security threat, networking, security, it management
    
IBM
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.
Tags : 
sas, analytics, business analytics, business intelligence, customer intelligence, data management, fraud & financial crimes, high-performance analytics, it management, ondemand solutions, performance management, risk management, sas® 9.3, supply chain intelligence, sustainability management, business intelligence, michael lock, predictive analytics, business insight, business visibility
    
SAS
Published By: TIBCO     Published Date: May 15, 2013
According to Forrester, most organizations today are only using 12% of their available data and only 37% of organizations are planning some type of big data technology project. At a time when companies are seeing volume of information increase quickly, it’s time to take a step back and look at the impact of big data. Join Mike Gualtieri, Principal Analyst at Forrester, for this webcast exploring the importance of integration in your big data initiatives. Discover how your ability to operate, make decisions, reduce risks and serve customers is inextricably linked to how well you’re able to handle your big data. Continue on to gain insight into: •3 key big data management activities you need to consider •Technologies you need to create for your big data ecosystem •A multi-dimensional view of the customer is the holy grail of individualization •Overcoming key integration challenges And more!
Tags : 
big data, integration, architecture, database, data warehousing, operations management
    
TIBCO
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.
Tags : 
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.
Tags : 
ibm, idc, big data, data, analytics, information governance, enterprise applications, data center
    
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.
Tags : 
big data, analytics, unstructured content, enterprise information, ibm, security, it management
    
IBM
Start   Previous   1 2 3 4 5    Next    End
Search      

Related Topics

Add Research

Get your company's research in the hands of targeted business professionals.