Data Science Blog

NOVEMBER 15, 2023

In addition to Business Intelligence (BI), Process Mining is no longer a new phenomenon, but almost all larger companies are conducting this data-driven process analysis in their organization. The measured timestamps (and duration times in case of Task Mining) are enhanced with a time-dimension for BI applications.

Data Modeling 245

Data Modeling Data Models Business Intelligence Business Intelligence 245

phData

JULY 11, 2023

Power BI Datamarts is one of the most exciting features that Microsoft has released for the Power Platform in recent years. If you need high-level information on what a Power BI Datamart is and some example use cases, check out our other blog, What Are Power BI Datamarts?

Power BI 40

Power BI SQL Azure ETL 40

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

Women in Big Data

DECEMBER 9, 2024

Introduction In the rapidly evolving landscape of data analytics, Business Intelligence (BI) tools have become indispensable for organizations seeking to leverage their big data stores for strategic decision-making. There is a plethora of BI tools available in the market today, with new ones being added yearly.

Big Data 52

Big Data Big Data Power BI Tableau 52

Pickl AI

JULY 3, 2023

What is Business Intelligence? Business Intelligence (BI) refers to the technology, techniques, and practises that are used to gather, evaluate, and present information about an organisation in order to assist decision-making and generate effective administrative action. What Does a BI Developer Do?

Business Intelligence 52

Business Intelligence Business Intelligence SQL Data Visualization 52

Alation

MAY 12, 2023

So when leading software review site TrustRadius announced that we had won their “Top Rated” awards in Data Catalog , Data Collaboration, Data Governance , and Metadata Management we were thrilled, but not surprised, since usability has been core to Alation’s product DNA since day 1. What does “Top Rated” mean?

Data Governance 52

Data Governance Tableau Power BI Business Intelligence 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

Pickl AI

NOVEMBER 25, 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

Alation

MAY 12, 2023

So when leading software review site TrustRadius announced that we had won their “Top Rated” awards in Data Catalog , Data Collaboration, Data Governance , and Metadata Management we were thrilled, but not surprised, since usability has been core to Alation’s product DNA since day 1. What does “Top Rated” mean?

Data Governance 40

Data Governance Tableau Power BI Business Intelligence 40

Pickl AI

AUGUST 11, 2024

To handle sparse data effectively, consider using junk dimensions to group unrelated attributes or creating factless fact tables that capture events without associated measures. Ensuring Data Consistency Maintaining data consistency across multiple fact tables can be challenging, especially when dealing with conformed dimensions.

Data Quality 52

Data Quality Data Warehouse Data Governance Analytics 52

Pickl AI

SEPTEMBER 5, 2024

Technical Proficiency Familiarity with Data Analysis software, project management tools, and automation technologies is increasingly important for Operations Analysts. Proficiency in tools such as Excel, SQL, and business intelligence platforms can significantly enhance their effectiveness.

Data Analysis 52

Data Analysis Data Analysis Data Quality Analytics 52

Alation

JANUARY 17, 2023

A typical modern data stack consists of the following: A data warehouse. Data ingestion/integration services. Data orchestration tools. Business intelligence (BI) platforms. How Did the Modern Data Stack Get Started? Data governance is a key use case of the modern data stack.

Data Warehouse 52

Data Warehouse ETL Tableau Cloud Data 52

Pickl AI

APRIL 2, 2024

The Three Types of Data Science Data science isn’t a one-size-fits-all solution. There are three main types, each serving a distinct purpose: Descriptive Analytics (Business Intelligence): This focuses on understanding what happened. Hadoop/Spark: Frameworks for distributed storage and processing of big data.

Data Science 52

Data Science Machine Learning Machine Learning Predictive Analytics 52

Pickl AI

APRIL 26, 2024

A data warehouse is a centralised repository that consolidates data from various sources for reporting and analysis. It is essential to provide a unified data view and enable business intelligence and analytics. Data Governance and Ethics Questions What is data governance, and why is it important?

Data Analyst 52

Data Analyst Data Analysis Data Analysis Machine Learning 52

Data Science Blog

MARCH 14, 2023

Datenqualität hingegen, wurde zum wichtigen Faktor jeder Unternehmensbewertung, was Themen wie Reporting, Data Governance und schließlich dann das Data Engineering mehr noch anschob als die Data Science. Google Trends – Big Data (blue), Data Science (red), Business Intelligence (yellow) und Process Mining (green).

Big Data 147

Big Data Big Data Apache Hadoop Data Science 147

Data Science Blog

MARCH 30, 2023

Diese Anwendungsfälle sind jedoch analytisch recht trivial und bereits mit einfacher BI (Business Intelligence) oder dedizierten Analysen ganz ohne Process Mining bereits viel schneller aufzuspüren. Oft bieten bereits ERP-Systeme eine eigene Erkennung hierfür an, die sich mit einfach gestrikter BI leicht erweitern lässt.

Data Warehouse 147

Data Warehouse Business Intelligence Business Intelligence Power BI 147

Data Science Blog

SEPTEMBER 3, 2024

Dabei arbeiten wir technologie-offen und mit nahezu allen Tools – Und oft in enger Verbindung mit Initiativen der Business Intelligence und Data Science. Process Mining wurde kürzlich in die Power Automate Plattform und in Power BI integriert. – Fluxicon (Disco) ist vom Chart verschwunden.

Data Science 130

Data Science Power BI Azure Data Warehouse 130