Knowledge Hut

JANUARY 19, 2024

Business Intelligence Analyst Importance The proliferation of IoT-connected objects, IoT-based sensors, rising internet usage, and sharp increases in social media activity are all enhancing businesses' ability to gather enormous amounts of data. Let's examine the various business intelligence analyst job requirements.

Business Intelligence 52

Business Intelligence BI Business Analyst Finance 52

ProjectPro

APRIL 19, 2021

That living, breathing human is a data analyst. Organizations count on data analysts to help them make profitable business decisions based on data. A data analyst is a detective who identifies what all data is important to solve the business use case and from where we can get the data.

Portfolio 40

Portfolio Data Finance Certification 40

dbt Developer Hub

APRIL 24, 2023

Introduction ​ Transforming data to follow business rules can be a complex task, especially with the increasing amount of data collected by companies. One example of a popular drag-and-drop transformation tool is Alteryx which allows business analysts to transform data by dragging and dropping operators in a canvas.

BI 83

BI Data Workflow SQL Data Pipeline 83

AltexSoft

NOVEMBER 23, 2021

Data quality control — to ensure that all information is correct by applying data validation logic. Data security and governance — to provide different security levels to admins, developers, and consumer groups as well as define clear data governance rules, removing barriers for information sharing. ?

Process 69

Process Data Lake Metadata Data Warehouse 69

ProjectPro

NOVEMBER 30, 2021

In extract-transform-load (ETL), data is obtained from multiple sources, transformed, and stored in a single data warehouse, with access to data analysts , data scientists , and business analysts for data visualization and statistical analysis model building, forecasting, etc.

Process 52

Process Data Pipeline Data Warehouse AWS 52

Monte Carlo

OCTOBER 5, 2023

Data freshness (aka data timeliness) means your data should be up-to-date and relevant to the timeframe of analysis. Data validity means your data conforms to the required format, type, or range of values. Example: Email addresses in the customer database should match a valid format (e.g.,

Government 52

Government Data Governance Data Datasets 52