Acuvate
SEPTEMBER 19, 2022
Today’s incredibly complex data estates and the need to unlock meaningful insights and drive innovation calls for data modernization and data migration to the cloud to incorporate scalability, flexibility, and agility in business operations. Data estate modernization is a tough row to hoe. Native Integrations.
mjvinnovation
OCTOBER 5, 2020
Regardless of industry or size, organizations that want to remain competitive in the era of Big Data need to develop and efficiently implement Data Science capabilities – or risk being left behind. Do you know what Data Science is? One way to understand data science is to visualize what a data scientist does.
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David Marks
APRIL 11, 2017
Disruptive technologies and upstarts are wrecking havoc far and wide, they warned, and (unless you hire us) you will be the next to go. They now tweet, on mobile, collect big data and learn deeply (Current technology terms have an unwittingly infantile twang) Yet there is more to it.
Brunner
JUNE 1, 2020
Do you have technology that aggregates and stores customer/consumer data across all appropriate touchpoints? What do you estimate the “data maturity” of your organization to be? How well will your products and services perform in comparison? Do you have an agile test and learn strategy?
mjvinnovation
MAY 20, 2019
Several technologies are employed in a Business Analytics strategy. They can be grouped into four groups: Data visualization tools; Business Intelligence software; Self-service analysis platforms; Statistical analysis tools; Big Data Platforms. Key Business Analytics Tools. The seven steps of Business Analytics.
David Marks
APRIL 11, 2017
Disruptive technologies and upstarts are wrecking havoc far and wide, they warned, and (unless you hire us) you will be the next to go. They now tweet, on mobile, collect big data and learn deeply (Current technology terms have an unwittingly infantile twang) Yet there is more to it. Startups?—?or
mjvinnovation
APRIL 29, 2019
In this context, access to open APIs permits the sharing of data between different insurers, startups, banks, InsurTechs (insurance startups based on technology, inspired by the Fintech model) and other organizations. These technological innovations are enabling the development of Open Insurance practices.
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