Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. 5 common data governance mistakes 1.

Data Governance 52

Data Governance Marketing Machine Learning Sales 52

Alation

APRIL 25, 2023

As firms mature their transformation efforts, applying Artificial Intelligence (AI), machine learning (ML) and Natural Language Processing (NLP) to the data is key to putting it into action quickly and effecitvely. Using bad data, or the incorrect data can generate devastating results. 5 common data governance mistakes 1.

Data Governance 40

Data Governance Marketing Machine Learning Sales 40

Cloudera

OCTOBER 19, 2023

While navigating so many simultaneous data-dependent transformations, they must balance the need to level up their data management practices—accelerating the rate at which they ingest, manage, prepare, and analyze data—with that of governing this data.

Data-driven 80

Data-driven Data Architecture Predictive Modeling Digital Transformation 80

Cloudera

APRIL 13, 2021

That’s because CDP has made it possible for them to modernize their legacy data platforms and extend machine learning (ML) and real-time analytics to public cloud, all while gaining cross-functional collaboration across the enterprise. . It wanted to find novel ways to monetize the data it had to grow revenue and expand its customer base.

Enterprise 79

Enterprise Cost-Benefit Data Warehouse Data Architecture 79

Cloudera

NOVEMBER 18, 2020

During the first-ever virtual broadcast of our annual Data Impact Awards (DIA) ceremony, we had the great pleasure of announcing this year’s finalists and winners. The technological linchpin of its digital transformation has been its Enterprise Data Architecture & Governance platform. Connect the Data Lifecycle .

Internet Publishing and Broadcasting 124

Internet Publishing and Broadcasting Data-driven Broadcasting Digital Transformation 124

Alation

APRIL 14, 2022

Moving/integrating data in the cloud/data exploration and quality assessment. Once migration is complete, it’s important that your data scientists and engineers have the tools to search, assemble, and manipulate data sources through the following techniques and tools. Collaboration and governance. Pattern Matching.

Metadata 59

Metadata Data Governance Data-driven Modeling 59

Cloudera

SEPTEMBER 7, 2023

proprietary data, business strategies, methodologies, etc. This not only ensures greater control and flexibility, but also helps safeguard the integrity of proprietary assets, like IP, while also providing enhanced protection for sensitive data while enforcing the rigorous security and compliance standards unique to the financial sector.

Insurance 87

Insurance Risk Data-driven Finance 87

O'Reilly on Data

SEPTEMBER 11, 2019

Spark has emerged as the general-purpose data processing engine of choice; interest in Hadoop is waning, although reports of its death are greatly exaggerated. This is noteworthy for several reasons: first, the top three terms in our data set relate in one way or another to ML. Data engineering comes into its own.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

AWS Big Data

OCTOBER 23, 2024

In conclusion, we’ll offer some thoughts on how you can apply a similar approach to eliminate costly and barrier-inducing data silos using Amazon Redshift. Similarly, relying on dedicated teams to create data extracts or insights for downstream consumers introduces bottlenecks, stifles innovation, and increases the time-to-market.

Data Warehouse 90

Data Warehouse Cost-Benefit Data Lake Data-driven 90

FineReport

MARCH 31, 2024

Efficiency and Productivity: Through automated reporting and data visualization, BI tools streamline processes, mitigate manual data handling, and bolster employee productivity. Moreover, the integration of BI with data science augments its potential, enabling the automation of report generation and democratizing data discovery.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Smarten

MAY 30, 2023

When a business plans to launch an augmented analytics or business intelligence solution, it must carefully plan for user adoption – especially if the launch of this solution is part of a larger strategy for self-serve business user analytics and the Citizen Data Scientist approach to data use across the enterprise.

Slice and Dice 52

Slice and Dice Business Intelligence Cost-Benefit Dashboards 52

Jet Global

MAY 1, 2023

that gathers data from many sources. These tools prep that data for analysis and then provide reporting on it from a central viewpoint. These systems are designed for people whose primary job is data analysis. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52