Tableau

FEBRUARY 14, 2022

They had data science groups, they had an AI center of excellence, they had investments, they were developing proof of concepts—trying to figure out the art of the possible. After all, we can't forget that the purpose of these technologies is to improve people’s data-driven decision making.

Chief Data Officer 72

Chief Data Officer Supply Chain Government Data Architecture 72

Domo

JULY 23, 2015

Here at Domo, we talk a lot about how arming yourself with data leads to better decisions and mitigated risk. “On average, we’re collecting 100 data points every second—8.5 million data points per day. With staggering amounts of data, OCEARCH hopes to develop better strategies for conservation. Tweet this!

Big Data 52

Big Data Business Intelligence Business Intelligence 52

Sisense

APRIL 30, 2020

In Talking Data , we delve into the rapidly evolving worlds of Natural Language Processing and Generation. Text data is proliferating at a staggering rate, and only advanced coding languages like Python and R will be able to pull insights out of these datasets at scale. Begin by removing the URLs and HTML tags. get_text().

Artificial Intelligence 91

Artificial Intelligence 91

Smart Data Collective

FEBRUARY 3, 2022

Docker is one of the two most popular DevOps platforms for data scientists. There are a lot of compelling reasons that Docker is becoming very valuable for data scientists and developers. If you are a Data Scientist or Big Data Engineer, you probably find the Data Science environment configuration painful.

Big Data 303

Big Data Agile Planning 303

Smart Data Collective

SEPTEMBER 24, 2020

The biggest breakthroughs in machine learning have only emerged over the last five years, as new advances in Hadoop and other big data technology make artificial intelligence algorithms more practical. Using Google Photos to search photos even if they have not been tagged. Google Photos was first launched in 2015.

Artificial Intelligence 320

Artificial Intelligence Big Data Digital Monitoring 320

Astera

MAY 6, 2024

What Is Data Mining? Data mining , also known as Knowledge Discovery in Data (KDD), is a powerful technique that analyzes and unlocks hidden insights from vast amounts of information and datasets. What Are Data Mining Tools? Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g., Big Data Tools (e.g.,

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Whizlabs

JANUARY 2, 2021

Azure Data Engineer Associate. Azure Data Scientist Associate. In the course of this process, the Azure AI Engineer should also work in collaboration with data engineers, AI developers, data scientists, and IoT specialists. . Azure Data Scientist Associate. Azure Administrator Associate.

Monitoring 141

Monitoring Government Planning Vision 141

Astera

MARCH 28, 2024

What is a Data Catalog? A data catalog is a central inventory of organizational data. It provides a comprehensive view of all data assets in an organization, including databases, tables, files, and data sources. This practice is especially applicable to large organizations with scattered data.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Sisense

AUGUST 6, 2020

Doing it right can mean the difference between thriving in the new world of data and disappearing from it. Then tailor your approach to leverage your unique data and expertise to excel in those KPI areas. Know the limitations of your existing dataset and answer these questions: What categories of data are there?

Product Management 95

Product Management Product Management Customer Experience Customer Experience 95

Monday

MARCH 31, 2021

Unlike game companies, you can’t sell the promise of a future product and then tag on extra DLC costs when ready. At least that’s what data from a recent BCI report tells us. Big data, IoT, and AI on the horizon. The same report also showed that most supply chain professionals believe in a data-heavy feature.

Supply Chain 52

Supply Chain Retail Big Data Real-time Data 52

MindsMapped

JULY 18, 2020

Business Analytics mostly work with data and statistics. They primarily synthesize data and capture insightful information through it by understanding its patterns. They first need to understand what business data they need from the project. Business Analytics specialists sometimes also switch to data scientist job profiles.

Business Analysis 46

Business Analysis Business Analysis Requirements Gathering Documentation 46

ElegantJ BI

MARCH 19, 2021

One of the most valuable aspects of self-serve business intelligence is the opportunity it provides for data and analytical sharing among business users within the organization. When considering the advantages of data popularity and sharing, one must also consider that not all popular data will be high-quality data (and vice versa).

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

ElegantJ BI

MARCH 19, 2021

One of the most valuable aspects of self-serve business intelligence is the opportunity it provides for data and analytical sharing among business users within the organization. When considering the advantages of data popularity and sharing, one must also consider that not all popular data will be high-quality data (and vice versa).

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

ElegantJ BI

MARCH 19, 2021

One of the most valuable aspects of self-serve business intelligence is the opportunity it provides for data and analytical sharing among business users within the organization. When considering the advantages of data popularity and sharing, one must also consider that not all popular data will be high-quality data (and vice versa).

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

ElegantJ BI

MARCH 11, 2020

Self-Serve Data Prep Balances Data Agility with Data Governance! If your business understands the value of self-serve data preparation and augmented analytics, but your IT team or senior management is concerned about data governance and data security, you need not worry. They can do it on their own!

Data Governance 130

Data Governance Government Data Security Agile 130

ElegantJ BI

MARCH 11, 2020

Self-Serve Data Prep Balances Data Agility with Data Governance! If your business understands the value of self-serve data preparation and augmented analytics, but your IT team or senior management is concerned about data governance and data security, you need not worry. They can do it on their own!

Data Governance 130

Data Governance Government Data Security Agile 130

ElegantJ BI

MARCH 11, 2020

Self-Serve Data Prep Balances Data Agility with Data Governance! If your business understands the value of self-serve data preparation and augmented analytics, but your IT team or senior management is concerned about data governance and data security, you need not worry. They can do it on their own!

Data Governance 130

Data Governance Government Data Security Agile 130