Business Intelligence, Big Data Management

Enhancing Data Empowerment in Financial Services with Modern Cloud Analytics

November 30, 2022

Enhancing Data Empowerment in Financial Services
Modern cloud analytics can help financial services organisations to gain greater insight into their ever-increasing volumes of data, enabling them to improve customer experience, boost productivity and generate new revenue streams.

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Getron

Getron is a Prescriptive Analytics & Intelligence oriented company. We utilize artificial intelligence in product management across a variety of industries. Our innovative digital assistant Getron Advisor is driven by machine learning algorithms, developed by highly skilled PhD-level data scientists and big data developers.

OTHER WHITEPAPERS
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Agility in Data Management

whitePaper | June 8, 2023

The importance of data in achieving successful business outcomes cannot be emphasized enough in this digital era. Businesses in recent times have embarked on digital transformation as they strive to keep existing customers happy while creating opportunities for new ones. It is worth noting that investments in data related concepts have soared, making data concepts such as data analytics, machine learning, interpretation of structured and unstructured data highly prevalent as these enable fast decision making for business agility.

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An Introduction to Rubrik Sensitive Data Monitoring and Management

whitePaper | November 24, 2022

As businesses adopt the cloud, they grapple with massive data fragmentation, making it impossible to know where sensitive data resides. At the same time, the increasing risk of data privacy breaches and noncompliance with regulations impose serious financial penalties. Sensitive Data Monitoring and Management is a SaaS application, hosted by Rubrik Security Cloud, that discovers, classifies, and then reports on sensitive data without any impact to production.

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The Intersection of Big Data, Data Governance and MDM

whitePaper | June 29, 2022

For (oh so many) years, we’ve been hearing about the “promise” of big data. Much of the buzz focused on getting people prepared for the onslaught of bigger data sets – and what IT needed to do to help the business make sense of this information.

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Data Analytics Integrity Challenges to Implementation of the Automated Data Collection Processes

whitePaper | March 12, 2020

In recent months, my company (Baron Consulting) has been proactively involved in setting up Data Collection Systems for a range of Private and Public Organisations we are servicing. Some of the data collection challenges have already been discussed in our recent Raw Data Collection 2020: Principles and Challenges White Paper. While the RDC (Raw Data Collection) paper analysed the current state of the everchanging Data Collection requirements, it did not have the scope to address technicalities of the RDC processes along with the specific Data Collection tools and methods. The purpose of this paper is to fill the void by looking into implementation of the automated data collection processes.

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Data & AI Survey Report 2021/2022

whitePaper | September 2, 2022

This year, unlike previous years, we asked professionals the most difficult elements of a successful data strategy instead of the most important.

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Prescriptive Security for Financial Services

whitePaper | November 15, 2019

The potential of artificial intelligence to transform business performance is only now starting to be more widely understood in Financial Services. This is nowhere clearer than in the security domain, where the fusion of big data, advanced analytics and machine learning holds out the promise of startling improvements in cyber defenses through the introduction of Prescriptive Security.

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Spotlight

Getron

Getron is a Prescriptive Analytics & Intelligence oriented company. We utilize artificial intelligence in product management across a variety of industries. Our innovative digital assistant Getron Advisor is driven by machine learning algorithms, developed by highly skilled PhD-level data scientists and big data developers.

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