Remove Dashboards Remove Data Processing Remove Data Quality Remove Risk Management
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How Financial Services and Insurance Streamline AI Initiatives with a Hybrid Data Platform

Cloudera

The way to manage this is by embedding data integration, data quality-monitoring, and other capabilities into the data platform itself , allowing financial firms to streamline these processes, and freeing them to focus on operationalizing AI solutions while promoting access to data, maintaining data quality, and ensuring compliance.

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A guide to efficient Oracle implementation

IBM Big Data Hub

Clearly define the objective of the implementation project and determine its scope, timeline and budget as well as create a risk management plan. This is also the time to determine which data will be migrated, as some older data may be best stored in a secure archive.

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Showcasing the Power of AI in Investment Management: a Real Estate Case Study

DataRobot Blog

This usually involved gathering market and property information, socio-economic data about a city on a zip code level and information regarding access to amenities (e.g., You can understand the data and model’s behavior at any time. parks and restaurants), and transportation networks. Rapid Modeling with DataRobot AutoML.

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Your Effective Roadmap To Implement A Successful Business Intelligence Strategy

datapine

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Clean data in, clean analytics out. Cleaning your data may not be quite as simple, but it will ensure the success of your BI. Indeed, every year low-quality data is estimated to cost over $9.7

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The Third Pillar of Data Culture: Data Governance

Alation

However it’s defined, data governance is among the hottest topics in data management. Organizations don’t need to spend a lot of money to get data governance. They can improve data quality, security and risk management without the need for an expensive big-bang project.

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The Gartner 2021 Leadership Vision for Data & Analytics Leaders Webinar Q&A

Andrew White

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. What are you seeing as the differences between a Chief Analytics Officer and the Chief Data Officer?