When the right approach is applied, analytics can drive more effective marketing strategies. While marketers understand the role analytics plays within the organization, most are not leveraging analytics to really drive enterprise performance. We surveyed 100+ business leaders to understand the state of analytics maturity across today’s leading organizations, uncovering common challenges teams are facing in their quest to use data and analytics to deliver a competitive advantage.
What We Uncovered:
- 73% of analytic professionals claim to work for an analytically-driven company
- Only 42% of companies have a strategy for using analytics across the enterprise
- Just 38% of companies share results of their analytic insights outside their department
- 81% of organizations rely on 3rd parties for at least some portion of their analysis
Download the report to learn how marketers, like yourself, view themselves in light of using analytics to drive their business.
Securing your infrastructure, your customer interactions and protecting
your data are critical to preserving your reputation and your bottom
line. Many cyber attacks remain undetected for up to eight months1
and can cost an organization an average of 11 million USD.2
Today’s cyber actors are becoming more sophisticated, agile and capable
of getting past any network security. Organizations must evolve, replacing
traditional defensive security strategies with a proactive, intelligence-driven
offense to prevent and disrupt these threats.
IBM® i2® Enterprise Insight Analysis is a next generation intelligence
solution that enables organizations to incorporate cyber threat hunting
into their security strategy and turn their defense into a proactive
offense.It helps organizations uncover critical insights about their
threats and threat actors so they can mitigate and counter more threats
with a combination of multi-dimensional visualte analysis capabilities
A significant challenge for many organizations has been enabling their analysts to find the "unknown
unknown." Whether that unknown is malware lurking within the enterprise or within slight variations in
fraudulent transactions, the result has been the same: enterprises continue to fall victim to cybercrime.
IBM is addressing this challenge with IBM i2 Enterprise Insight Analysis. By pairing multi-dimensional
visual analysis capabilities with powerful analytics tools, IBM is giving the analyst team an effective
early-detection, cyberintelligence weapon for its arsenal.
This IDC study provides detailed insights into the rapidly growing market for enterprise storage systems that leverage flash storage media. This study segments this market into the following two technology segments: AFAs and HFAs. Insights into these two market segments are provided historically. Market shares and IDC analysis are provided for each of the top vendors in these two segments along with detailed market-level analysis.
Published By: Dell EMC
Published Date: May 15, 2015
This IDC study provides detailed insights into the rapidly growing market for enterprise storage systems that leverage flash storage media. This study segments this market into the following two technology segments: AFAs and HFAs. Insights into these two market segments are provided historically. Market shares and IDC analysis are provided for each of the top vendors in these two segments along with detailed market-level analysis.
IBM i2 Enterprise Insight Analysis helps analysts and investigators turn large data sets into comprehensive intelligence, in near real-time. With the help of advanced analytics and visual analysis capabilities, analysts can uncover hidden connections, patterns and trends buried in disparate data. Equip analysts and those on the front line with the tools they need to generate actionable intelligence, with mission critical speed.
Securing your infrastructure, your customer interactions and protecting your data are critical to preserving your reputation and your bottom line. Many cyber attacks remain undetected for up to eight months and can cost an organization an average of 11 million USD.
Defensive weak spots are just waiting to be found and exploited by persistent cyber attackers. But with cyber threat analysis, you quickly identify, disrupt and mitigate breaches by uncovering critical insights unseen by traditional defenses.
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.
In search of instant analytical insights, businesses often prioritize data
access and analysis over governance and quality. However, without
ensuring the data is trustworthy, complete and consistent, leaders
cannot be confident their decisions are rooted in facts and reality
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
With many enterprises implementing a hybrid cloud environment to move applications to cloud, IT organizations must establish a decision-making framework for evaluating, deploying, and operating applications in the cloud. Businesses need to be able to deliver applications in the right way and on the right cloud, so IT organizations seek insight into setting policies for the best placement of applications across different cloud options. In this report, Gartner offers analysis and recommendations for moving traditional apps to private cloud and for brokering and managing apps across different private and public cloud options.
Published By: HPE_OMG_7.16
Published Date: Jul 22, 2016
With many enterprises implementing a hybrid cloud environment to move applications to cloud, IT organizations must establish a decision-making framework for evaluating, deploying, and operating applications in the cloud. Businesses need to be able to deliver applications in the right way and on the right cloud, so IT organizations seek insight into setting policies for the best placement of applications across different cloud options.
In this report, Gartner offers analysis and recommendations for moving traditional apps to private cloud and for brokering and managing apps across different private and public cloud options.
Organizations and intelligence agencies from a variety of industries and sectors face the same challenges when it comes to big data – the need to uncover actionable insights, with limited resources, with critical speed. But with the right intelligence solution, overwhelming data won’t be a challenge, rather, it becomes your resource to smarter, more effective decision making.
This infographic includes compelling statistics on cybercrime, and explains how to combat it with actionable insights using IBM i2 Enterprise Insight Analysis.
HP ConvergedSystem 700x with Microsoft Hyper-V is an ideal example of the market transition toward integrated computing platforms. Built on HP’s ConvergedSystem 700x converged infrastructure platform, HP ConvergedSystem 700x with Microsoft Hyper-V is a flexible preconfigured solution designed for small to large enterprise and service provider deployments. The solution is built on HP ProLiant or HP BladeSystem servers, HP 3PAR SAN storage, and HP 5900-Series or HP Flex10 networking. The entire stack is managed through HP Insight Control for System Center, which integrates physical and virtual server management through HP Insight with Microsoft System Center 2012 for unified management and orchestration Read this whitepaper to learn more about ESG’s analysis of the costs and benefits—and ultimate economic value—associated with deploying and managing HP ConvergedSystem 700x with Microsoft Hyper-V, versus a comparable conventional data center infrastructure comprised of discrete, non-integ
This IDC white paper describes the challenges associated with managing the growing complexity of IT infrastructures, with a focus on support services for the enterprise. It highlights the important role of support services in maximizing system performance and minimizing downtime. The paper also examines the HP Insight Online, HP Insight Remote Support, and HP Proactive Care service offerings, specifically for HP ProLiant Gen8 servers featuring Intel Xeon technologies — including an analysis of the return on investment (ROI) from these programs for existing HP customers.
Published By: HP and Intel ®
Published Date: May 06, 2013
This IDC white paper describes the challenges associated with managing the growing complexity of IT infrastructures, with a focus on support services for the enterprise. It highlights the important role of support services in maximizing system performance and minimizing downtime. The paper also examines the HP Insight Online, HP Insight Remote Support, and HP Proactive Care service offerings, specifically for HP ProLiant Gen8 servers featuring Intel Xeon technologies — including an analysis of the return on investment (ROI) from these programs for existing HP customers.
This white paper considers the pressures that enterprises face as the volume, variety, and velocity of relevant data mount and the time to insight seems unacceptably long. Most IT environments seeking to leverage statistical data in a useful way for analysis that can power decision making must glean that data from many sources, put it together in a relational database that requires special configuration and tuning, and only then make it available for data scientists to build models that are useful for business analysts. The complexity of all this is further compounded by the need to collect and analyze data that may reside in a classic datacenter on the premises as well as in private and public cloud systems. This need demands that the configuration support a hybrid cloud environment. After describing these issues, we consider the usefulness of a purpose-built database system that can accelerate access to and management of relevant data and is designed to deliver high performance for t
Data drives decision making across the enterprise. For sales executives, it’s critical to have
information about where to focus outreach and understand what potential customers are looking
for. But having data for its own sake won’t do much good. With advanced tools and a customerfocused mindset, companies are learning things about prospects never before possible. Thanks to
advanced insights and machine learning that process algorithms and crunch millions of data points,
new purchase patterns and propensity models are emerging to guide sales leaders as to what will
work best for their business.
Read this paper to learn how to act on advanced insight in the sales and marketing process.
Highlights include:
The enormous potential of new data tools and analysis
Resources needed to act on the insight
Company examples
Strategic and operational recommendations
