Datametica: Smooth Data Ware House Migrations using Scientifically Designed Automation Frameworks

USD 3 billion insurance company from Ohio, sought to move away from company’s legacy solution. The insurance company operates in 33 states providing insurance products to various domains including auto, home, and business, through independent insurance agents. At this juncture, reducing operating costs and improving platform performance were top priorities. Administrators also wanted to eliminate problematic data siloing to optimize network efficiency. BigQuery is the primary data lake solution for this insurance company, offering substantially faster query times for employees compared to its previous data lake solution within Netezza. For instance, an 800GB query that previously took three hours on the company's legacy solution can now be executed in seven minutes. By moving to Google Cloud Platform, the insurance giant benefited from simpler platform management resources, reduced costs, and improved data security for high-value customer information. Having its platform hosted on a single location eliminates data siloing, simplifying its IT architecture and allowing the company to explore machine learning applications to further advance its analytics abilities. The Google Cloud Premier Services Partner Datametica played an imminent role in the data warehouse migration process to BigQuery, helping to seamlessly implement the new processes and technologies without disruption. Datametica continues to support the client in its endeavors and its move to the cloud for data management and analytics capabilities.

10 Most Recommended Data Analytics Solution Providers - 2019

The overall importance of data and information within organizations has continued to grow. We’ve also seen the continued rise of mega trends like IoT, big data – even too much data – and of course, machine learning. That’s along with the ongoing maturation of other, perhaps less known, but equally important data initiatives such as governance and integration in the cloud. Adding fuel to this ever-expanding fire is the ongoing growth of digital twins, which are digital replicas of physical objects, people, places and systems powered by real-time data collected by sensors. By some estimates there will be more than 20 billion connected sensors by 2020, powering potentially billions of digital twins. To capture the value of all that data, it needs to be integrated into on a modern data platform using an automated data integration solution that engages in data cleaning, de-duplication and unification of disparate and unstructured sources. Data analytics becomes even more cardinal and très essentiel when companies are battling for a competitive advantage. The companies end up paying more price and time when businesses are unaware of missed revenue opportunities, potential cost savings andperformances. The data analytics providers need to blend self-service software, make use of data to keep IT services running smoothly and use behavioral analytics technology. Sorting through many products classified as big data analytics software can make buying decision even more difficult. Simplifying this process, CIO Insider along with expert’s views has come up with a list of “10 Most Recommended Data Analytics Solution Providers 2019”. A distinguished panel of CEOs, CIOs and industry analysts has closely scrutinized these companies addressing the above features. We believe these vendors will bring in a better clarity thereby enabling your businesses to take decisions that will sustain the test of time.