In an analytical and data-intensive industry like insurance, it is critical for businesses to adopt strong data management and governance strategies. A trusted source of data is essential to increase revenue, lower operational expenses, deliver optimal customer experience, and reduce risk and compliance exposure.
Attendees of this one-hour Insurance & Technology webinar will develop a better understanding of building a data governance strategy, including how to:
Establish a definition for
This white paper provides a data management perspective on modernizing legacy systems for life, property and casualty, and group insurers by examining business purposes, benefits, risks and dependencies while also avoiding common challenges of insurance legacy modernization.
What scares IT security more than hackers? This Ponemon Institute Research report answers that question and then some. In a survey of more than 1,500 IT practitioners from around the world, they reveal what's worrying the people tasked with protecting the enterprise's most sensitive data. With the rise of the data-centric enterprise, there is a necessary and parallel development of the security architecture meant to protect it. But in the time it's taken for data security to catch up with the
Each day, insurers gather vast amounts of data with the potential to evolve their risk strategies and drive business growth. The problem is, many carriers lack the analytical tactics necessary to manage and capitalize on this wealth of information.
Through robust data management practices, insurers can better understand their portfolios and improve their approach to strategic growth. Attendees of this one-hour Insurance & Technology webinar will come away with greater knowledge of
The need for better and more accurate data in financial services is more critical than ever to improve customer experience, grow wallet share, and retain high potential customers. Unfortunately, traditional business silos, lack of a single view of customer, fragmented data management processes, and lack of capable technology are just some of the issues financial institutions face that prevents them from receiving the data they need to succeed.
In this one-hour webcast sponsored by Bank Systems &
It's no longer a question of if your company will be adopting cloud-based solutions, but when and how many. Gartner predicts that by the end of 2016, more than 50 percent of Global 1000 companies will have stored customer-sensitive data in the public cloud. With the proliferation of cloud-based applications, platforms and infrastructure, the potential for data fragmentation and disconnected data silos has grown exponentially. While the benefits of cloud computing have been well
Big data comes in two flavors-big transaction data and big interaction data. Big transaction data is the steadily growing volume of financial, customer, product, and other information in your organization's ERP system, data warehouses, CRM applications, and other back-office solutions, either on premise or in the cloud. Big interaction data represents interactions of customers, partners, and competitors that affect your organization. It is mostly external to your organization, scattered across
Buoyed by strong and accelerating demand, the market for data quality tools grew substantially in 2012, and many of its smaller vendors capitalized on customers' desire for faster implementations, lower total cost of ownership and more flexibility. This report will help you find a suitable vendor.