A tool for finance leaders to unify disparate customer data with financial and strategic ROI
If you’ve found yourself sweating in a smoky billiard room, wondering what role customer data should play in finance—as well as in your company’s long-term strategy—this eBook will help you hone your pool shark skills.
Inside, you’ll find insights about….
• How to identify patterns in your customer portfolio, and why it matters.
• Avoiding four critical data billiard blunders.
• Key questions to ask while you’re segmenting your data.
• How to tell if your portfolio segmentation strategy is working with the right reporting.
This eBook will help you navigate the crowded billiard room of customer data and how you can use it to drive cross-functional value for your team.
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 the full report, we will share with you what we learned and how you may be able to use this information to better inform your own path forward. Let’s start with a look at the general state of flash deployment in the data center.
Published By: Mimecast
Published Date: Mar 13, 2017
Mimecast research finds that Office 365 adoption is growing quickly around the globe with 87% of respondents already using Exchange Online or planning to use it within the next twelve months. The survey also finds that email is an important communication channel with over 85% viewing email as critical to the organization. Whether your already on Office 365, executing or planning a migration, this report reveals insights that can help make email more secure and resilient.
Effective metrics and measurements are critical to running a high performance business. Properly applied, they lead you to better insights, better decisions and better business outcomes. They provide feedback to spark improvement and create learning opportunities. They help you identify the right outcomes that drive you toward your business goals. Unfortunately, many businesses misuse these powerful tools in ways that actively destroy the agility they seek to create. In this paper, we highlight nine mistakes organizations make involving agile measurement at enterprise scale—and how to do it right.
Agile and Lean are built on a foundation of continuous improvement: You need to inspect, learn from and adapt your performance to keep improving. Enhancing performance begins with having accurate, comprehensive data. The multitenant architecture of CA Agile Central is uniquely positioned to provide access to anonymized industry benchmarking data from tens of thousands of agile teams.
CA Agile Central Insights capabilities, part of a CA Agile Central Unlimited Edition subscription, provide performance metrics and benchmarking data for individual teams, teams of teams and even whole business units, departments and organizations.
Best-in-class FI marketers have embraced the power of signals. Through their everyday actions, consumers and businesses continually create signals for marketers like you. A signal is an indication of intent or behavior. Examples of activities that produce signals include making a purchase, searching online for information about a financial product, clicking on an ad, applying for a loan, and paying off debt. Each signal can be tracked, monitored, and acted upon. Reaching customers at the critical moment, in the right channel with the right message, requires keen insights about the signals they’re producing. Signals aren’t new to marketing. In fact, you may already be using new mover lists or even search engine marketing. Today, though, there is so much more valuable data available — if you know where to look and what to do with it.
The synergy between predictive analytics and decision optimization is critical to good decision making. Predictive analytics offers insights into likely future scenarios, and decision optimization prescribes best-action recommendations for how to respond to those scenarios given your business goals, business dynamics, and potential tradeoffs or consequences.
Together, predictive analytics and decision optimization provide organizations with the ability to turn insight into action—and action into positive outcomes.
In this white paper, you’ll gain a better understanding of:
The difference between predictive and prescriptive analytics
How predictive and prescriptive actions complement one another to help you achieve optimized business decisions
IBM’s approach to creating a powerful end-to-end decision management system
Many companies can't predict which customer they will retain or which customers will increase their spend. With predictive analytics they can.
This knowledge brief from Aberdeeon Group highlights research findings that show organizations which apply predictive analytics are able to:
Establish timely and accurate insights into customer behavior.
Empower employees to do their jobs more effectively.
Encourage more repeat business and higher wallet share
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.
Despite strong wages and steady job growth, without enough skilled employees to fill an onset of retirees, manufacturers face hiring challenges in the days to come. That's why investing in better strategies and technologies to quickly hire available talent is key.
Published By: Workday
Published Date: Mar 20, 2017
Cloud-based systems are the future for cities and counties looking to reduce budgets and use staff wisely. The cloud allows governments to end constant upgrades to legacy systems, improve security, and invest in operations—not capital expenses. Join the Governing Institute for an overview of the benefits of a migration to the cloud and gain valuable insights from the City of Rochester’s successful transition.
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.
Cloud- based data presents a wealth of potential information for organizations seeking to build and maintain competitive advantage in their industries. However, as discussed in “The truth about information governance and the cloud,” most organizations will be challenged to reconcile their legacy on- premises data with new third- party cloud- based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
Cloud-based data presents a wealth of potential information for organizations seeking to build and maintain a competitive advantage in their industry. However, as discussed in “The truth about information governance and the cloud,” most organizations will be confronted with the challenging task of reconciling their legacy on-premises data with new, third-party cloud-based data. It is within these “hybrid” environments that people will look for insights to make critical decisions.
We have a world of technology at our fingertips, but is it actually leading to stronger, more agile organisations? How do these new tools serve as the catalysts for more productivity and greater executions of companies’ larger marketplace ambitions? In the brief "4 Trends Redefining Performance Management,” we cover:
1. Embracing the digital transformation
2. Rethinking performance management
3. Rising employee engagement
4. Business insights
Download the brief to learn how you can expand HR's role in boosting company success.
Download this eBook to learn:
- How the use of advanced analytics generates powerful insights to stay ahead of evolving cyber threats
- Why Cyber Threat Analysis is the most effective defensive strategy
- How analysts benefit from the use of sophisticated data visualization to identify hidden threat relationships and patterns
- Why shifting from attack prevention to mitigation is a more practical goal for commercial organizations
Download this white paper to learn:
- How the use of advanced analytics generates powerful insights to stay ahead of evolving cyber threats.
- Why security infrastructure protection alone is not enough to thwart cyber criminals, and how you can fortify your existing security strategy.
- How the use of both machine led analytics with human led analysis can help you mitigate threats.
It's all well enough for an organization to collect every slice of data it can reach, but having more data doesn't mean you'll automatically get better insights. First, you have to figure out what you want from your data you have to find its value.
In the domain of data science, solving problems and answering questions through data analysis is standard practice. Data scientists experiment continuously by constructing models to predict outcomes or discover underlying patterns, with the goal of gaining new insights. But data scientists can only go so far without support.
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.
Using the high-potential employees subset of our global WorkTrends™ survey data, we were able to compare top talent, who significantly outperform their peers and demonstrate a stronger capacity to succeed,3,4 with other employees. The results provide new insight into mobile recruiting and guidance for organizations looking to attract top talent.