Information Management and Analytics
Documents
A Guide to Building a Metrics Driven Organization
| Date added: | 12/13/2010 |
Author: Dr. Fern Halper, Partner
Sponsored by PivotLink
A guide describing what to consider when developing metrics. The importance of metrics, how to think about metrics and KPIs, how to develop metrics, case studies of companies that were successful building out metrics strategies. Metrics, BI, dashboards.
Data Management in Transition: Where Are We Heading With Big and Fast Data?
| Date added: | 09/05/2012 |
Data Management in Transition: Where Are We Heading With Big and Fast Data?
Authors
Judith Hurwitz, President & CEO
Dr. Fern Halper, Partner
Sponsored by VMware
A confluence of factors has converged to create one of the most important trends in data management – the emergence of Big and Fast Data. These factors include advances in computing technology, the decrease in computer memory prices, the maturation of the Internet, more advanced analytical tools, virtualization, and the cloud. At the same time, business requires immense quantities of data to optimize customer outcomes. This data is being created across all customer channels, including the web, mobile devices, and through in person interactions with customers.
Big and Fast Data is the ability to manage a huge volume of disparate data, at
the right velocity within the right timeframe to allow real-time analysis. This data must be able to be verified based on both accuracy and business context. An innovative business may want to be able to analyze massive amounts of data in real time in order to quickly assess the value of that customer and the potential to provide additional offers to that customer. Therefore, it is necessary to have the right amount of data that can be analyzed in real time to impact business outcomes. Big and Fast Data incorporates all the varieties of data including structured databases, unstructured data from email, social media, text streams, and the like. This kind of data management requires that companies can leverage both their structured and unstructured data.
To use Big and Fast Data for competitive advantage, companies must employ both new data infrastructure technology and new analytic tools that can tame this data. In this paper, we will look at what technical and market forces are driving companies to transform the way they manage and analyze data.
From Business Intelligence to Business Optimization
| Date added: | 04/01/2009 |
Authors
Dr. Fern Halper, Partner
Robin Bloor, Partner
Sponsored by IBM
Companies run on information. And in today’s dynamic and changing market, businesses
need trusted and actionable information more than ever. In order to be successful,
businesses must maximize their information assets to capture new opportunities and
remain competitive. What does a company need in order to do this?
Expanding the Boundaries of Enterprise Content Management Systems
| Date added: | 10/01/2008 |
By Dr. Fern Halper, Partner
Sponsored by IBM
The technology needed to implement an information management strategy will provide access to and analysis of systems data and the vast amount of unstructured data or “content” sitting in content repositories.
Winning Mobile and Web Customers with Fast Data
| Date added: | 10/18/2012 |
Winning Mobile and Web Customer with Fast Data
Authors
Marcia Kaufman, COO and Principal Analyst
Daniel Kirsch, Research Analyst
Sponsored by VMware
Business leaders are finding that they need to dramatically transform the way their organizations engage with customers to remain competitive. Fast Data – the data architecture that supports real-time decision-making – is at the heart of this transformation. Customer’s expectations have evolved. Now, customers expect to have the information needed to make a purchasing decision at the time and place that is right for them. In addition, customers expect customized and instantaneous responses from their suppliers. Businesses increasingly understand that customers expect to be able to interact though web and mobile devices.
Therefore, smart businesses are creating innovative mobile and web applications that delight their customers and build loyalty. But this transformation doesn’t happen in a vacuum. Leaders have to rethink their approach to data management. The tables have been turned. Now, the customer controls much of the engagement process. For example, customers increasingly want to choose which device and platform they will use to communicate with their service providers. In addition, customers expect the engagement experience to be seamless and personalized based on their requirements and their relationship to their providers.
