Analysts Corner

JANUARY 11, 2025

Challenges in Adopting BigData Despite its benefits, implementing Big Data Analytics presents several challenges: Data Quality Management : Inaccurate or incomplete data can lead to misleading insights and poor decisions. Maintaining clean and consistent data iscrucial.

Big Data 130

Big Data Business Analysis Business Analysis Predictive Analytics 130

Sisense

JANUARY 14, 2021

The Billie BI team has decided to share the code for their testing project to help other data teams using Sisense for Cloud Data Teams. “We We believe this can help teams be more proactive and increase the data quality in their companies,” said Ivan. joining the BI team at Billie in 2018.

E-Commerce 85

E-Commerce Business Intelligence Business Intelligence Data Modelling 85

Astera

JANUARY 15, 2024

Astera’s key features include: No-code data pipeline builder with a drag-and-drop UI. ETL and data mapping automation based on triggers and time intervals. Data quality checks and data profiling. Real-time data preview. Vast library of pre-built connectors. Built-in transformations for every major use-case.

Real-time Data 52

Real-time Data Data Warehouse Data Quality Visualization 52

Astera

AUGUST 29, 2024

When Facebook acquired WhatsApp in 2014, they had to integrate an enormous amount of data—450 million monthly active users generating billions of messages, photos, and videos daily—into Facebook’s systems. Higher-quality data leads to more reliable reporting, better insights, and more effective decision-making.

Monitoring 52

Monitoring Data Quality Planning Real-time Data 52

Astera

MAY 13, 2024

Besides being relevant, your data must be complete, up-to-date, and accurate. Automated tools can help you streamline data collection and eliminate the errors associated with manual processes. Enhance Data Quality Next, enhance your data’s quality to improve its reliability.

Supply Chain 52

Supply Chain E-Commerce Healthcare Data Quality 52

Data Pine

JANUARY 31, 2022

As Dan Jeavons Data Science Manager at Shell stated: “what we try to do is to think about minimal viable products that are going to have a significant business impact immediately and use that to inform the KPIs that really matter to the business”. Let’s put this into perspective with a success story from datapine.

Business Intelligence 85

Business Intelligence Business Intelligence Data Analytics Data Analytics 85