Business Bullet

FEBRUARY 8, 2020

Cloud technology, big data and machine learning have grown in popularity and use and can be termed as disruptive technologies. There are now more projects based on data and being able to store more of it. Data modelling and analysis skills will be valuable as a result. Disruptive technologies.

Artificial Intelligence 52

Artificial Intelligence Business Analysis Business Analysis Digital Transformation 52

Sisense

APRIL 10, 2020

We’ll actually do this later in this article. These support a wide array of uses, such as data analysis, manipulation, visualizations, and machine learning (ML) modeling. Nowadays text data is huge, so Deep Learning also comes into the picture. R libraries. Both languages are user-friendly and easy to implement.

Visualization 98

Visualization Artificial Intelligence Data Mining Logistics 98

Sisense

MAY 11, 2021

You can’t talk about data analytics without talking about data modeling. The reasons for this are simple: Before you can start analyzing data, huge datasets like data lakes must be modeled or transformed to be usable. Building the right data model is an important part of your data strategy.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Data Pine

MARCH 31, 2022

A data scientist has a similar role as the BI analyst, however, they do different things. While analysts focus on historical data to understand current business performance, scientists focus more on data modeling and prescriptive analysis. They can help a company forecast demand, or anticipate fraud.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Whizlabs

APRIL 19, 2021

David is also a contributor to IEEE Cloud Computing and has published countless number of articles and books over the years. Currently she works at Microsoft and concentrates mainly on cloud computing, edge computing, distributed systems and architecture, and a little bit of machine learning and artificial intelligence.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Sisense

FEBRUARY 24, 2021

Clearly, data is becoming more important to organizations. In this article, we explore the role and responsibilities of the chief data officer and the challenges they are facing. The role of the chief data officer. Not all organizations are at the same point in their data journey.

Chief Data Officer 69

Chief Data Officer Data Warehouse Big Data Innovation 69

Insight Software

MAY 1, 2023

Ideally, your primary data source should belong in this group. Modern Data Sources Painlessly connect with modern data such as streaming, search, big data, NoSQL, cloud, document-based sources. Quickly link all your data from Amazon Redshift, MongoDB, Hadoop, Snowflake, Apache Solr, Elasticsearch, Impala, and more.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52