FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management. This proactive stance safeguards against erroneous insights or decisions driven by flawed or incomplete datasets.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

DataKitchen

OCTOBER 2, 2023

Data Teams and Their Types of Data Journeys In the rapidly evolving landscape of data management and analytics, data teams face various challenges ranging from data ingestion to end-to-end observability. It explores why DataKitchen’s ‘Data Journeys’ capability can solve these challenges.

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

AWS Big Data

MARCH 27, 2024

Achieving this will also improve general public health through better and more timely interventions, identify health risks through predictive analytics, and accelerate the research and development process.

Data Analytics 87

Data Analytics Analytics Data Warehouse Data Lake 87

DataKitchen

FEBRUARY 2, 2023

The crazy idea is that data teams are beyond the boom decade of “spending extravagance” and need to focus on doing more with less. This will drive a new consolidated set of tools the data team will leverage to help them govern, manage risk, and increase team productivity. ’ They are data enabling vs. value delivery.

Metadata 130

Metadata Testing Risk Data Science 130

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. The best AI platforms typically have various measures in place to ensure that your data, application endpoints and identity are protected.

Machine Learning 77

Machine Learning Manufacturing Cost-Benefit Deep Learning 77

Grooper

AUGUST 19, 2019

Choosing the best analytics and BI platform for solving business problems requires non-technical workers to “speak data.”. A baseline understanding of data enables the proper communication required to “be on the same page” with data scientists and engineers. Key Language of Applied Analytics. Data pipelines.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54

Andrew White

JANUARY 11, 2021

But we also know not all data is equal, and not all data is equally valuable. Some data is more a risk than valuable. Additionally, the value of data may change, and our own personal judgement of the the same data and its value may differ. Governance. Would really like to explore this one in debate.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52