Over the past two years, the implementation of AI systems in the insurance industry has seen a sharp uptick, particularly when applied to claims operations.
Moving Unstructured Data Is Risky and Pricey, but Critical: Five Steps to Improve It
Click to learn more about author Daniel Esposito. It’s time-consuming – and often very costly – for enterprises to perform a network-attached storage (NAS) or object data migration. As moving unstructured data has proliferated over the past decade, with as much as 90% of all data defined as unstructured data, the task has become increasingly […]
Is Lakehouse Architecture a Grand Unification in Data Analytics?
Click to learn more about author Arsalan Farooq. I do not think it is an exaggeration to say data analytics has come into its own over the past decade or so. What started out as an attempt to extract business insights from transactional data in the ’90s and early 2000s has now transformed into an […]
Tapping the Value of Unstructured Data: Challenges and Tools to Help Navigate
Click to learn more about author Daniel Martin. The amount of data generated in the digital world is increasing by the minute! This massive amount of data is termed “big data.” We may classify the data as structured, unstructured, or semi-structured. Data that is structured or semi-structured is relatively easy to store, process, and analyze. […]
2021: Embracing Proactive Analytics for Unstructured Data
Click to learn more about author Martin Hansknecht. While technological advancements will be numerous in 2021, our prediction for revolutionary transformations is twofold: (I) industries will begin to mass-adopt internal, unstructured analytics, and (II) enterprises will prioritize bridging governance with analytics via in-place solutions. Nineteenth century English novelist Mary Ann Evans, pen name George Eliot, […]
Data Mobility and Cloud Services Are Essential for Success in 2021
Click to learn more about author Samantha Humphries. In a year full of uncertainty, 2020 reinforced the value in safeguarding data and effective storage solutions. As the pandemic created a need for rapid transitions to remote work and an increased reliance on the cloud, many organizations moved to a full or hybrid-cloud model. As […]
Metadata Management and Analytics: What is the Intersection?
Metadata Management implies a set of activities, which administer data for better usage and outcomes. Thus, this practice involves establishing stringent roles, responsibilities, policies, and processes to ensure that data-driven information is available, accessible, sharable, and maintainable across an organization for the best analysis and application of such information in daily business. In that sense, Metadata […]
Defining Purpose, Scope, and Objectives in a Data Governance Policy
Click to learn more about author Steve Zagoudis. In the last blog, we defined how to determine the target audience for a Data Governance policy. In this blog, we will begin to define the actual Data Governance policy. There are at least two primary documents that govern most working groups or committees. The first is […]
Improving Data Pipelines with DataOps
Click to learn more about author Joe DosSantos. It was only a few years ago that BI and data experts excitedly claimed that petabytes of unstructured data could be brought under control with data pipelines and orderly, efficient data warehouses. But as big data continued to grow and the amount of stored information increased every […]
The Emergence of Open Analytics
Click to learn more about author Dipti Borkar. As businesses are increasingly becoming more data-driven and need to make faster, more informed decisions, the traditional data warehousing approach for accessing and analyzing data is becoming more impractical, time-consuming and likely to increase cost, effort, and vendor lock-in. It assumes data needs to be ingested and […]