EBOOK:
Discover how to craft data-first CRM strategies and get tips about coordinating data sources for effective CRM, 5 ways to reduce risks for Salesforce deployments, and the pros and cons of current CRM software offerings.
EZINE:
In this week's Computer Weekly, we find out how the All England Lawn Tennis Club is working with IBM to use data analytics to engage with fans of the Wimbledon championships. We examine whether IT automation will kill jobs or solve the skills gap. And we look at the issues around data portability in the cloud. Read the issue now.
WHITE PAPER:
In this white paper, learn how to build a successful ABM foundation with data-driven account selection and modeling. Explore 4 signs your company is failing with ABM account selection, and discover how to match your account selection with active demand in your market.
EGUIDE:
In this case study, learn about Flybuys' migration to the cloud, how they integrated security from the start and developed a change management plan to ensure key stakeholders were proactively engaged.
ESSENTIAL GUIDE:
This research from Deloitte identifies the areas with the biggest immediate opportunity for retail and consumer packaged goods (CPG) businesses looking to invest in blockchain technology.
EGUIDE:
Companies leading the technological evolution have gone through changes. This second part of this e-guide explores the technological evolution of SAP, Microsoft and some business analytics vendors throughout the past two decades.
EGUIDE:
In a competitive analytics market, differentiation is key for smaller, independent vendors. Pyramid Analytics is making the necessary waves via their end-to-end business intelligence platform. Keep reading to learn why companies are choosing Pyramid Analytics as their trusted partner for critical insights across their business lifecycle.
EGUIDE:
In this e-guide, learn how to streamline your document distribution process through the use of e-signature technology. Discover key differences between e-signature and digital signature applications, and review your software options with Adobe.
EGUIDE:
In this expert guide, discover a 5-step process to predictive analytics, specific challenges of the 3Vs of big data, and how to combine predictive analytics and big data to provide the analytical insights that you need.
EBOOK:
Data science, predictive analytics and machine learning applications start with data collection and data mining tasks that set the stage for analysis. Learn how to manage your data mining tasks and data science applications to help ensure that your big data analytics program is in the corporate spotlight for all the right reasons.
