Last year at this time, we forecast a bumpy ride for infosec through 2017, as ransomware continued to wreak havoc and
new threats emerged to target a burgeoning Internet of Things (IoT) landscape. ‘New IT’ concepts – from DevOps to various
manifestations of the impact of cloud – seemed poised to both revolutionize and disrupt not only the implementation of
security technology, but also the expertise required of security professionals as well.
Our expectations for the coming year seem comparatively much more harmonious, as disruptive trends of prior years
consolidate their gains. At center stage is the visibility wrought by advances in data science, which has given new life to threat
detection and prevention – to the extent that we expect analytics to become a pervasive aspect of offerings throughout the
security market in 2018. This visibility has unleashed the potential for automation to become more widely adopted, and not
a moment too soon, given the scale and complexity of the thre
Companies globally must determine the approach to compliance with mandated use of XBRL and significantly accelerating financial reporting. Here are 23 reasons to why an integrated approach towards external reporting is required by organizations today.
Maximize your email marketing campaigns and improve ROI- let the "25 Essentials for Exceptional Email Campaigns" be your guide to the essential rules of email engagement, with fundamental best practices that will help you get the most from your email marketing efforts.
Ready to effectively monitor in the cloud? It’s time to go beyond vendor provided data and establish performance metrics and baselines that matter. The 3 Key Cloud Monitoring Metrics IT Brief helps you identify cloud monitoring challenges while providing the strategies to succeed.
Issuers need to balance eCommerce payment transaction security and a smooth customer checkout experience. The crux of the matter is how to provide a seamless checkout experience for legitimate customers so they won’t abandon their transaction or use a different form of payment while at the same time stopping illegitimate attempts to transact. The use of behavior-based authentication to determine which transactions should be impacted by requiring the customer to go through additional means of authentication is critical for reducing customer friction while creating better assurance that the transaction is legitimate. Rules are an important component when providing this risk- and behavior-based authentication. When models are added, and used to guide the application of risk-based rules, the impact upon illegitimate authentication attempts can be greatly increased while the impact on legitimate customers is decreased, providing a better experience for the cardholder and loss reduction for
As the approach to strategic business decision making becomes more and more data driven, a method for consolidating our various data sets, which are often spread across multiple systems becomes exceedingly important.
Two of the biggest players in data driven decision making are website analytics platforms and customer relationship management systems. The former includes accumulating data on top of the funnel behavior such as site traffic origins, lead generation, content consumption tracking, device usage, and overall site behavior. While the latter has a focus more on bottom of the funnel activity such as lead nurturing, customer status, lifetime value, etc.
Lastly, without communication between these two essential platforms, a complete understanding of your customers, from lead to longtime client, may never be possible. A web analytics (Google Analytics) and CRM integration provides you with a 360 degree view of your customer base, so that you can understand not just what PPC efforts
From its conception, this special edition has had a simple goal: to help SAP customers better understand SAP HANA and determine how they can best leverage this transformative technology in their organization. Accordingly, we reached out to a variety of experts and authorities across the SAP ecosystem to provide a true 360-degree perspective on SAP HANA.
Cloud-delivered big data analytics presents an enormous opportunity for organizations that want to become more agile, more efficient and more competitive. To capitalize on the full potential of this opportunity, businesses need cloud-enabled big data analysis solutions that are flexible, simple, secure and open.
In many ways, today’s web marketers are like blindfolded shopkeepers. They might have a general understanding of their customers’ needs, based on site analytics and other data sources, but they do not see what their actual customers are doing across channels. Hence, they miss numerous sales and marketing opportunities—online and off.
Whether your shop is real, virtual, or a combination of the two,
the more complete your customer vision, the greater the value
you can provide to them and the greater value they will deliver
to your bottom line.
In many ways, today’s web marketers are like blindfolded shop-keepers. They might have a general understanding of their customers’ needs, based on site analytics and other data sources, but they do not see what their actual customers are doing across channels. Hence, they miss numerous sales and marketing opportunities—online and off.
Whether your shop is real, virtual, or a combination of the two, the more complete your customer vision, the greater the value you can provide to them and the greater value they will deliver to your bottom line.
Watch our webinar, 4 Steps to Building a Customer Satisfaction Engine. SurveyMonkey's Director of Customer Success, Jeffrey Coleman, will show you how to:
- Ask questions that yield actionable data
- Scale follow-up actions and improvements
- Analyze survey data and get key metrics
- Close the loop by turning data into action
The purpose of this white paper is to provide organizations with a four step roadmap that details how organizations can use VoC to make Product Management more customer-centric and significantly increase the odds of consistently delivering products that are successful in the marketplace.
Published By: GoodData
Published Date: Aug 02, 2013
Salesforce provides a tremendous repository of customer information and interactions that’s organized and easily accessed. But that’s not enough! Once you begin to really use it, the questions you ask your salesforce data become more sophisticated. Then you start to uncover holes in your data, reporting strategy and Salesforce analytics itself.
Download this white paper for 4 tips that are a surefire way to improve your salesforce analytics.
Always-on Connections for Store Networks and Powering Intelligent Systems
In the fast-paced world of retail, network reliability is everything—but so are security, agility, and cost-effectiveness. Retailers want it all, and they depend on their IT administrators to balance these needs. Whether it’s ensuring an always-on connection for store networks, powering intelligent systems aimed at swaying buyer behavior, or transmitting real-time analytics to inform marketing and inventory decisions, the bedrock of successful retailing is a network that can support the growing list of mission-critical applications dependent on secure Internet connectivity.
In the past, finding a solution to balance these demands has been difficult at best. Less expensive wired options like DSL mean hours of downtime each month. Alternatives like T1 connections deliver more uptime but carry a price tag that usually puts large-scale distributed deployments out of reach.
“Unpolluted” data is core to a successful business – particularly one that relies on analytics to survive. But preparing data for analytics is full of challenges. By some reports, most data scientists spend 50 to 80 percent of their model development time on data preparation tasks. SAS adheres to five data management best practices that help you access, cleanse, transform and shape your raw data for any analytic purpose. With a trusted data quality foundation and analytics-ready data, you can gain deeper insights, embed that knowledge into models, share new discoveries and automate decision-making processes to build a data-driven business.
For data scientists and business analysts who prepare data for analytics, data management technology from SAS acts like a data filter – providing a single platform that lets them access, cleanse, transform and structure data for any analytical purpose. As it
removes the drudgery of routine data preparation, it reveals sparkling clean data and adds value along the way. And that can lead to higher productivity, better decisions and greater agility.
SAS adheres to five data management best practices that support advanced analytics
and deeper insights:
• Simplify access to traditional and emerging data.
• Strengthen the data scientist’s arsenal with advanced analytics techniques.
• Scrub data to build quality into existing processes.
• Shape data using flexible manipulation techniques.
• Share metadata across data management and analytics domains.
When it comes to explaining information, this white paper outlines a few basic data visualization tips to improve the impact of visualizations, ensuring that the story in the data is expressed as effectively as possible.
This guide outlines the five most important marketing metrics every B2B marketer should focus on, to achieve maximum ROI from Marketing Automation software, in addition to optimizing their lead management process
"71% of consumers do some digital research before buying an insurance policy, and 26% of those surveyed had purchased their policies online.
Insurance companies are investing in interactive websites, mobile apps, and analytics software to help them optimize their processes, increase sales, improve customer service, and boost their financial standing. But is this enough to keep up?
As technology continues to advance, leading insurance companies are already looking ahead to the next big advance that will transform the industry: cognitive computing."
In this book we describe best practices honed through 13 years of experience and partnership with some of the leading technology companies in the world.
These best practices will give you insight into three key areas:
• Data management & renewal opportunity generation
• Sales strategy & execution
• Continuing the renewal cycle
We hope you enjoy this book!