Download our Field guide to marketing analytics to identify the defining characteristics of mature marketing analytics practices and to learn how your program can join their ranks. You’ll discover four steps to analytics maturity, from benchmarking your current performance to creating a long-term competitive advantage. And you’ll learn how the right marketing analytics can transform your business results.
Published By: Datorama
Published Date: Aug 26, 2014
The extreme complexity of today’s marketing landscape, combined with the abundance of choices available to consumers, means marketers need to approach each marketing decision as intelligently as possible. Download this whitepaper to learn how marketers can utilize omni-channel analytics to garner strategic insights and guide them in the decision making process.
IDC Retail Insights defines omni-channel merchandise optimization as the set of technologies, data assets, skills, processes, and management intent required to develop and maintain sets of targeted and localized offers that best satisfy important business objectives. These goals include customer satisfaction, customer lifetime value, and category, channel, and corporate performance. By "offers," IDC Retail Insights means the broad set of attributes that characterize assortments, products, services, prices, utility, and convenience that match customers' buying criteria and shopping behaviors. Targeted and localized offers present a compelling "choice set" that satisfies and delights consumers.
Download this white paper to read the questions posed by IBM to Greg Girard, program director of Omni-Channel Analytics Strategies at IDC Retail Insights, on behalf of IBM's customers.
Is your software defined infrastructure (SDI) for high performance computing (HPC) and big data analytics meeting the needs of your growing business? Would you like to know how to justify the switching cost from unsupported open source software to a commercial grade SDI that ensures your resources are more effectively used cutting down time to market? This webcast will give you an overview of the true costs of building out and managing a HPC or Big Data environment and how commercial grade SDI software from IBM can provide a significant return on investment.
Predictive analytics is powerful. It can help drive significant improvement to an organization’s bottom line. Look for ways to use it to grow revenue, shrink costs and improve margins.
Provide a platform that enables your data scientists to work efficiently using tools and algorithms they prefer. Enhance your analyses with internal and external data, structured and unstructured data. Then make the analytics accessible in order to reap the full benefits of these valuable analyses.
Stay ahead of the curve in your market with predictive analytics, and give your organization a competitive advantage and an improved bottom line.
This paper presents the 5 most common practices that result in losing a customer and how to avoid those pitfalls. You'll also learn how more customer-centric measures can help you deepen and grow relationships with your most valuable customers.
In a webcast co-hosted by the AMA and SAS, presenters described three areas of focus for using social media, and the five best practices for being effective in social media. This paper provides a summary of that webcast.
This white paper provides a blueprint for action for senior marketers and decision makers across the enterprise. It provides straightforward advice on how to build a more durable and profitable customer base.
This collection is part of the ANA Magazine Thought Leadership Series sponsored by SAS. The articles explore the variety of ways to use analytics to create marketing functions that are more accountable and profitable.
This paper provides an intro to managers and marketing professionals applying analytics to marketing to significantly improve outcomes. It explains not only why you need to make this shift, but also how you get started and what tools you'll need.
How can you open your analytics program to all
types of programming languages and all levels of
users? And how can you ensure consistency across
your models and your resulting actions no matter
where they initiate in the company?
With today’s analytics technologies, the conversation
about open analytics and commerical analytics is no
longer an either/or discussion. You can now combine
the benefits of SAS and open source analytics
technology systems within your organization.
As we think about the entire analytics life cycle, it’s
important to consider data preparation, deployment,
performance, scalability and governance, in addition
to algorithms. Within that cycle, there’s a role for
open source and commercial analytics.
For example, machine learning algorithms can
be developed in SAS or Python, then deployed in
real-time data streams within SAS Event Stream
Processing, while also integrating with open systems
through Java and C APIs, RESTful web services,
Apache Kafka, HDFS and more.
With little to no oversight into billing and collections‚ it can be hard to evaluate and improve the performance of accounts receivable (AR) processes — but not anymore.
AR Automation solutions provide access to critical analytics that go beyond DSO to transform your AR department into a more strategic‚ value-added operation.
Read our new AR Analytics Playbook to discover the six essential metrics that can bring big gains in efficiencies‚ such as:
• Faster customer payments
• Reduced administrative costs
• Enhanced collections efficiencies
• Improved customer retention
The competition isn’t getting any weaker. Start strengthening your business with an AR automation solution today!
Ignoring the potential of AR analytics is a losing game. In order to boost your collection rate and maximize resources, departments should be analyzing a plethora of statistics — not just DSO.
This playbook discusses the six metrics your AR department should be paying attention to and how they can separate themselves from competition and provide customers with an improved experience by:
• Measuring Key Performance Indicators (KPIs)
• Making process improvements based on analytics
• Centralizing collection activities
A spreadsheet-based approach to performance management won't meet the challenges facing growing midsize businesses. You need confidence in the information you're using for critical decision-making. Read this white paper to see how IBM® Cognos® Express can transform spreadsheet-only processes to create flexible and timely plans, budgets and forecasts.