Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. These predictive models can be used by enterprise marketers to more effectively develop predictions of future user behaviors based on the sourced historical data.

Predictive Analytics 349

Predictive Analytics Pharmaceutical Artificial Intelligence Data Mining 349

Smart Data Collective

NOVEMBER 1, 2023

Data analytics offers a number of benefits for growing organizations. Some of the data types you can use to better employee engagement include: Feedback data: Thi refers to employee recommendations and opinions and their responses and reactions to the company’s actions.

Data Automation 302

Data Automation Innovation Data Analytics Data Analytics 302

Data Pine

NOVEMBER 27, 2019

Accordingly, predictive and prescriptive analytics are by far the most discussed business analytics trends among the BI professionals, especially since big data is becoming the main focus of analytics processes that are being leveraged not just by big enterprises, but small and medium-sized businesses alike.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Astera

MAY 9, 2023

It is crucial that the data sources are accurate, dependable and well-built to ensure that the data collected, and the information gathered is of superior quality and functionality. Data Preparation The data collected in the first stage is then prepared and cleaned. Businesses are now relying more on quality data.

Data Warehouse 52

Data Warehouse Big Data Innovation Cloud Computing 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

Astera

JANUARY 25, 2024

Operationalizing insights from stored data and making them actionable in day-to-day business operations. Use Cases Data warehousing, business intelligence, reporting, and data analytics. Data enrichment for CRM, targeted marketing campaigns, real-time customer interaction, and personalized experiences.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is Reverse ETL?

Data Warehouse 52

Data Warehouse Data Quality Real-time Data E-Commerce 52