Smart Data Collective

APRIL 2, 2019

These massive storage pools of data are among the most non-traditional methods of data storage around and they came about as companies raced to embrace the trend of Big Data Analytics which was sweeping the world in the early 2010s.

Big Data 205

Big Data Agile Data Analytics Data Analytics 205

Astera

JANUARY 25, 2024

So, in simple terms, reverse ETL helps businesses get the right data to the right tools at the right time, making their work easier and more productive. Operationalizing insights from stored data and making them actionable in day-to-day business operations.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Data Pine

DECEMBER 11, 2019

When SaaS is combined with AI capabilities , it enables businesses to obtain better value from their data, automate and personalize services, improve security, and supplement human capacity. If you’re looking to improve your data analytics processes, in particular, unbundling is unlikely to be the answer.

Artificial Intelligence 125

Artificial Intelligence Innovation Digital Business Intelligence 125

Data Pine

MARCH 18, 2020

There are numerous data reporting tools on the market that can help you in presenting your information, but just a few provide features that will make your work extremely simple and straightforward. For more insights into the virtues of data analytics, you can explore 250 KPI examples we have carefully prepared.

Monitoring 71

Monitoring Digital Visualization Retail 71

Data Pine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 9) Data Automation.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144