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What is a business intelligence analyst? A key role for data-driven decisions

CIO Business Intelligence

Business intelligence (BI) analysts transform data into insights that drive business value. What does a business intelligence analyst do? The role is becoming increasingly important as organizations move to capitalize on the volumes of data they collect through business intelligence strategies.

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What is business analytics? Using data to improve business outcomes

CIO Business Intelligence

The discipline is a key facet of the business analyst role. Data analytics is used across disciplines to find trends and solve problems using data mining , data cleansing, data transformation, data modeling, and more. What is the difference between business analytics and business intelligence?

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Logi Analytics, an insightsoftware Company, Wins Dresner Advisory Services Award for Embedded Business Intelligence

Jet Global

February 9, 2022 – Logi Analytics , an insightsoftware company, today announced it has been named a winner for Embedded Business Intelligence (BI) in the 2021 Technology Innovation Awards by Dresner Advisory Services. Dresner Advisory Services was formed by Howard Dresner, an independent analyst, author, lecturer, and business adviser.

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How Data Cleansing Helps Predictive Modeling Efforts

TDAN

If you are planning on using predictive algorithms, such as machine learning or data mining, in your business, then you should be aware that the amount of data collected can grow exponentially over time.

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Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

Data analysts contribute value to organizations by uncovering trends, patterns, and insights through data gathering, cleaning, and statistical analysis. They collaborate with cross-functional teams to meet organizational objectives and work across diverse sectors, including business intelligence, finance, marketing, and consulting.

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What is a data engineer? An analytics role in high demand

CIO Business Intelligence

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

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How Will The Cloud Impact Data Warehousing Technologies?

Smart Data Collective

Data warehouse, also known as a decision support database, refers to a central repository, which holds information derived from one or more data sources, such as transactional systems and relational databases. The data collected in the system may in the form of unstructured, semi-structured, or structured data.