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: Aberdeen
Published Date: Jun 17, 2011
Download this paper to learn the top strategies leading executives are using to take full advantage of the insight they receive from their business intelligence (BI) systems - and turn that insight into a competitive weapon.
What’s the best analytic approach for your business?
As technology has evolved, so has our ability to process data at an incredible rate, making it possible to perform what has become known as Anticipatory Analytics. While still a relatively new concept, anticipatory analytics is gaining prevalence as a methodology.
If you’re seeking to understand the future needs of your business before they show obvious signs, anticipatory analytics can’t be ignored.
In this document, you’ll learn:
• The advantages of anticipatory analytics
• The key enablers of anticipatory analytics
• How anticipatory can be leveraged for your business
• Why anticipatory can give you first-mover advantage
• When to use anticipatory or predictive analytics, based on your goals
Long-term success in business has always been about more than just who you know and what you do. It’s dependent on what you do with your customers, prospects, suppliers and partners to help them succeed. How do you grow relationships with companies where your knowledge of their business is not fully understood, or limited at best? The answer: Data.
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
Navigating Uncertainty & Disruption in a Post-Brexit World
Risk management and finance professionals are navigating an unprecedented period of uncertainty. In a post-Brexit world, how can business leaders best navigate disruption?
Data has become the most valuable business commodity, but not all data is meaningful. Data that helps you uncover hidden associations with customers, partners and suppliers can be a true catalyst for business transformation and growth.
In this ebook, we have mapped out the crucial steps in the journey towards operationalizing relationship data to:
- Define Relationship Data
- Use relationship data to unlock new opportunities
- Apply relationship data across the organization to drive growth
Stories and statistics behind successful analytics projects
The adoption of analytics across the enterprise is accelerating, and with good reason. Analytics can offer a competitive advantage by helping to identify growth opportunities, circumnavigate risk and improve customer relationships. These insights are becoming crucial parts of the business strategy for executives representing a wide array of industries.
Check out our latest eBook to see how some of the world’s leading companies are using analytics to meet their needs. You’ll receive diverse examples of how organizations applied the latest statistical methodologies, such as: scorecard build, regression, decision trees, machine learning and material change to uncover meaning in data.
The examples represent global brands across critical industries – Financial Services, Insurance, High-Tech, Aerospace, Manufacturing and others – where analytics helped answer their most challenging questions.
Published By: HPE APAC
Published Date: Feb 24, 2017
In this white paper, we will examine the storage challenges faced by businesses. We consider the case for the allflash data center, discuss the importance of a flash-optimized data protection strategy, and provide tips for gaining support from business leaders for your vision.
Published By: Microsoft
Published Date: Feb 02, 2017
Download the Keystone Research whitepaper to see how top performing enterprises use their IT investments to store, process, and use data to make more effective, real-time decisions.
Keystone Research, a global economics and data-driven strategy consulting firm, interviewed senior IT and business decision makers at over three hundred businesses to uncover the relationship between Data & Analytics technologies and business performance. This research shows that companies who have developed the most sophisticated Data & Analytics platforms and apply these capabilities as a regular part of their business enjoy operating margins that are eight percentage points higher than lagging organizations. This translates to $100 million in operating profits on average for the more advanced companies in the sample controlling for factors such as company size and industry vertical.
For more and more organizations, the new reality for development, deployment and delivery of applications and services is hybrid cloud. Few, if any, organizations are going to move all their strategic workloads to the cloud, but virtually every enterprise is embracing cloud for a wide variety of requirements.
In fact, hybrid cloud is the new norm for IT. IDC says more than 80% of enterprise IT organizations will commit to hybrid cloud by 20171, and 70% of IT decision-makers say they will always have a mix of traditional IT and cloud architectures.2 With important applications and workloads architected across both on-premises and hybrid, public and private cloud environments, business and IT stakeholders must be able to access data with equal efficiency, reliability and speed—regardless of physical location, infrastructure type or time frame.
In this era of digital transformation, business and IT leaders across all industries are looking for ways to easily and cost-effectively unlock the value of enterprise data and use it to deliver new customer experiences while fueling business growth. The digital economy is changing the way organizations gather information, gain insights, reinvent their businesses and innovate both quickly and iteratively.
Published By: MobileIron
Published Date: Mar 21, 2017
Over the past few years, organizations have used a variety of tools and technologies
to enable basic mobile device management (MDM) and essential apps like email and
calendar. But those capabilities are inadequate for companies that want to move beyond
the basics and transform their business processes by securely moving apps and data
to the cloud. For AirWatch customers, this means they should start evaluating leading
enterprise mobility management (EMM) platforms like MobileIron in order to achieve
their mobile transformation goals. Our platform is 100% focused on building today’s
modern enterprise architecture, which is quickly shifting core business processes away
from legacy technologies and standardizing on mobile devices and cloud services.
Every day, torrents of data inundate IT organizations and overwhelm the business managers who must sift through it all to glean insights that help them grow revenues and optimize profits. Yet, after investing hundreds of millions of dollars into new enterprise resource planning (ERP), customer relationship management (CRM), master data management systems (MDM), business intelligence (BI) data warehousing systems or big data environments, many companies are still plagued with disconnected, “dysfunctional” data—a massive, expensive sprawl of disparate silos and unconnected, redundant systems that fail to deliver the desired single view of the business.
The bottom line is that those that have the most customer insight will win because they know what customers want.
So the question is how will you get that insight? What is it that you don’t know about customers in the market(s) that you operate in? Do you have all the attributes about customers in your MDM system that could be of value to your business? Do you know about all the relationships that your customers have in your MDM system?
In most cases, the answer to the above questions is no which inevitably means one thing. You need more data
As with most innovations in business information technology, the ultimate truth about cloud lies somewhere in between. There is little doubt that cloud-based infrastructures offer an immediate opportunity for smaller organizations to avoid the costly investment needed for a robust on-premises computing environment. Data can be found, processed and managed on the cloud without investing in any local hardware. Large organizations with mature on-premises computing infrastructures are looking to Hadoop platforms to help them benefit from the vast array of structured and unstructured data from cloud-based sources. Organizations have feet in both cloud and on-premises worlds. In fact, one could easily argue that we already live in a “hybrid” world.
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.
Data matters more than ever to business success. But value does not come from data alone. Rather, it comes from the insights enabled by data. No matter what your role is, or where you are in your data journey, you are looking for ways to drive innovation.
The report argues top-down and bottom-up BI are flip sides of same coin that needs an harmony. This also describes the rise of data discovery tools as a bottom-up reaction to heavy handed BI and have crushed the top-down camp's monopoly of BI, that has unleashed a bevy of data silos.
Published By: Mimecast
Published Date: Feb 13, 2017
Security and risk (S&R) pros have the challenging task of using finite resources (including budget, time, and people) to protect their businesses from every possible attack type. On top of this, S&R pros don’t just need to watch out for threats coming from outside their walls, but must keep an eye on internal threats as well.
S&R decision-makers face threats from three groups of insiders – compromised accounts (internal accounts that have been compromised by external attacks), careless misuse (internal policy violators and those who accidentally leak or expose data or systems), and malicious insiders (insiders who purposefully take or misuse data or exploit systems), and they must be prepared for each.
In February 2017, Mimecast commissioned Forrester Consulting to evaluate the state of enterprise security readiness for internal email threats.
As enterprises embrace adoption of Microsoft Office 365 to drive business and alleviate the complexity and costs associated with on-premise Exchange environments, achieving a balance between identity management and user experience is often difficult. In this white paper, discover how VMware AirWatch® Enterprise Mobility Management (EMM) can easily integrate with Office 365 APIs, VMware Identity Manager, and an enterprise’s existing cloud, or on-premise, identity management solution to optimize user experience and ensure data is secure across all devices and platforms.
Mobile device management (MDM) tools allow companies to connect their employees securely to basic corporate network resources. Enterprise mobility management (EMM) goes a step further by enabling secure mobile versions of business-critical applications and data loss prevention to protect corporate information. But in today's workplace, employees and businesses deal with a vast variety of devices with different operating systems and form factors, from PCs and laptops, to tablets and smartphones, and now, increasingly wearables and Internet of Things (IoT) endpoints. The solution is unified endpoint management (UEM), which enables organizations to take a consistent approach to manage and secure every endpoint, any app and content, and across deployment use cases from a single holistic platform. Read this whitepaper to uncover VMware AirWatch®'s leading UEM approach that is benefiting organizations tremendously.