Alation

JUNE 2, 2022

A data catalog is a central hub for XAI and understanding data and related models. While “operational exhaust” arrived primarily as structured data, today’s corpus of data can include so-called unstructured data. Data management can never be a pure, complete process. Other Technologies. The challenge?

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

CIO Business Intelligence

JUNE 28, 2022

Philosophers and economists may argue about the quality of the metaphor, but there’s no doubt that organizing and analyzing data is a vital endeavor for any enterprise looking to deliver on the promise of data-driven decision-making. And to do so, a solid data management strategy is key.

Management 129

Management Internet of Things Statistics Data-driven 129

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 119

Strategy Data Science Marketing Unstructured Data 119

Rocket-Powered Data Science

JULY 14, 2023

I recently saw an informal online survey that asked users what types of data (tabular; text; images; or “other”) are being used in their organization’s analytics applications. This was not a scientific or statistically robust survey, so the results are not necessarily reliable, but they are interesting and provocative.

Analytics 166

Analytics Internet of Things Prescriptive Analytics Data Science 166

datapine

MAY 27, 2020

In recent years, analytical reporting has evolved into one of the world’s most important business intelligence components, compelling companies to adapt their strategies based on powerful data-driven insights. It’s possible to write an analytical report using a spreadsheet, whitepaper, or a simple Word document or file. Sales Target.

Reporting 245

Reporting Analytics Dashboards Sales 245

Sisense

JUNE 30, 2020

Data is usually visualized in a pictorial or graphical form such as charts, graphs, lists, maps, and comprehensive dashboards that combine these multiple formats. Data visualization is used to make the consuming, interpreting, and understanding data as simple as possible, and to make it easier to derive insights from data.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Corinium

APRIL 25, 2019

Most of my days focus on understanding what’s happening in the market, defining overall product strategy and direction, and translating into execution across the various teams. And it’s become a hyper-competitive business, so enhancing customer service through data is critical for maintaining customer loyalty.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

FineReport

MAY 30, 2024

Educational Background of A Data Visualization Specialist Relevant Degrees Pursuing a degree in fields like Data Science , Information Technology, or Graphic Design can provide a solid foundation for a career as a data visualization specialist. Collaborating with cross-functional teams to enhance data visualization strategies.

Visualization 52

Visualization Dashboards KPI Reporting 52

IBM Big Data Hub

JUNE 26, 2023

According to the recent statistics released by a local auto industry association, the sales of China’s fuel vehicle market have declined for three consecutive years. Yanfeng Auto is one of the industry pioneers in China to address business challenges with a “data-first” strategy.

Software 62

Software Manufacturing Optimization Digital Transformation 62

Cloudera

NOVEMBER 25, 2020

How can he make it easy to see statistics, and do calculations, on discovered commonalities, across structured and unstructured data? How can users drill down, in non-technical ways, to quickly interact with data that explains what correlations seem to matter?

Data Warehouse 59

Data Warehouse Unstructured Data Analytics Visualization 59

Domino Data Lab

MARCH 3, 2019

There are essentially four types encountered: image/video, audio, text, and structured data. That represents a significant shift in strategy and cloud providers stand to benefit. By November 2018, 43% reported that they planned to incorporate AutoML into their workflows sometime in 2019. Spark, Kafka, TensorFlow, Snowflake, etc.,

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Jet Global

MAY 9, 2024

The architecture may vary depending on the specific use case and requirements, but it typically includes stages of data ingestion, transformation, and storage. Data ingestion methods can include batch ingestion (collecting data at scheduled intervals) or real-time streaming data ingestion (collecting data continuously as it is generated).

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52