Data Science Blog

JULY 23, 2023

BI provides real-time data analysis and performance monitoring, while Data Science enables a deep dive into dependencies in data with data mining and automates decision making with predictive analytics and personalized customer experiences.

Data Science 246

Data Science Azure Power BI Business Intelligence 246

Pickl AI

JUNE 18, 2024

Summary: This blog dives into the most promising Power BI projects, exploring advanced data visualization, AI integration, IoT & blockchain analytics, and emerging technologies. Discover best practices for successful implementation and propel your organization towards data-driven success.

Power BI 52

Power BI Data Analysis Data Analysis Data Visualization 52

Dataconomy

DECEMBER 17, 2024

Example: For a project to optimize supply chain operations, the scope might include creating dashboards for inventory tracking but exclude advanced predictive analytics in the first phase. Actionable steps: Inventory existing data : Identify what data is currently available and assess its quality.

Data Quality 91

Data Quality Power BI Data Engineering Data Engineer 91

Data Science Blog

NOVEMBER 15, 2023

It is therefore hardly surprising that some process mining tools are actually just a plugin for Power BI, Tableau or Qlik. They offer consistency and standardization across data structures, improving data accuracy and integrity. This centralized approach streamlines data governance and management, enhancing efficiency.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

Smart Data Collective

MAY 20, 2019

GDPR helped to spur the demand for prioritized data governance , and frankly, it happened so fast it left many companies scrambling to comply — even still some are fumbling with the idea. Professionals adept at this skill will be desirable by corporations, individuals and government offices alike. The Rise of Regulation.

Analytics 111

Analytics Analytics Data Analyst Machine Learning 111

Pickl AI

OCTOBER 17, 2024

Summary: Descriptive Analytics tools transform historical data into visual reports, helping businesses identify trends and improve decision-making. Popular tools like Power BI, Tableau, and Google Data Studio offer unique features for Data Analysis.

Analytics 52

Analytics Analytics Power BI Tableau 52

Pickl AI

DECEMBER 2, 2024

Processing frameworks like Hadoop enable efficient data analysis across clusters. Analytics tools help convert raw data into actionable insights for businesses. Strong data governance ensures accuracy, security, and compliance in data management. What is Big Data?

Big Data 52

Big Data Big Data Data Lakes Apache Hadoop 52