Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. “Data is what you need to do analytics.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Sisense

JANUARY 13, 2021

Getting smarter about data and how it is used has allowed Pets Corner to be more agile and make the right decisions at the right times to thrive in challenging retail and wider commercial conditions. The problem: Too much data, too little insight. State-of-the-art distribution , thanks to data.

Supply Chain 95

Supply Chain Procurement E-Commerce Business Intelligence 95

Data Pine

FEBRUARY 18, 2020

The financial health, flow, and fluidity of your business will ultimately dictate its long-term success, which is why monitoring your money matters carefully, comprehensively, and accurately is absolutely essential. You can also depict a 5-year trend like in our example above and organize by supplier category.

Procurement 80

Procurement Visualization Finance Data Visualization 80

Sisense

JANUARY 13, 2021

Iain also wanted to improve access to data across the organization, ensuring that employees throughout the business could easily view, analyze, and use real-time data, regardless of their technical ability. A smarter warehouse through data. Using Sisense for predictive ordering.

Supply Chain 59

Supply Chain Procurement E-Commerce Finance 59

Astera

OCTOBER 27, 2023

Simply put, a cloud data warehouse is a data warehouse that exists in the cloud environment, capable of combining exabytes of data from multiple sources. Cloud data warehouses are designed to handle complex queries and are optimized for business intelligence (BI) and analytics.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Data Pine

JULY 11, 2019

Dashboard design should be the cherry on top of your business intelligence (BI) project. At this point, you have already tackled the biggest chunk of the work – collecting data, cleaning it, consolidating different data sources, and creating a mix of useful metrics. Don’t go over the top with real-time data.

Visualization 127

Visualization Data Visualization Retail Real-time Data 127

Astera

JANUARY 2, 2024

Businesses, both large and small, find themselves navigating a sea of information, often using unhealthy data for business intelligence (BI) and analytics. Relying on this data to power business decisions is like setting sail without a map. This is why organizations have effective data management in place.

Data Management 52

Data Management Data Warehouse Data Governance Data Quality 52