Smart Data Collective

SEPTEMBER 16, 2020

This stems, largely, from the fact that there are certain data regulations in place when it comes to marketing tech and predictive analytics software. Business users need to determine whether or not their predictive analytics are meeting key needs or if the raw data, customer responses, and analytics methods are providing false positives.

Predictive Analytics 349

Predictive Analytics Pharmaceutical Artificial Intelligence Data Mining 349

Smart Data Collective

APRIL 2, 2019

Because of the types of databases that made their way into adoption during the nascent days of Big Data, we now have the problem of streamlining databases running on Hive or NoSQL that were never meant to process data sets as large as what our data lake holds. The Third Problem – Preparation of Data.

Big Data 266

Big Data Agile Data Analytics Data Analytics 266

Astera

NOVEMBER 28, 2022

No-code solutions are feasible for business users defining the scope of a data warehouse project and technical users, including data warehouse architects and developers, who appreciate the point-and-click interface compared to writing thousands of lines of code.

Data Warehouse 52

Data Warehouse Data Modelling Data Management Big Data 52

Whizlabs

APRIL 22, 2021

This year is a digital age, and your business needs to implement strategies to make use of available data and reports for further productivity planning. At times you will need to manage a complete data warehouse or leverage a tabular data model for adapting the right business solutions.

Data Warehouse 88

Data Warehouse Data Automation Data Modelling Planning 88

Marutitech

DECEMBER 17, 2021

You must be wondering what the different predictive models are? What is predictive data modeling? This blog will help you answer these questions and understand the predictive analytics models and algorithms in detail. What is Predictive Data Modeling? Applying the learning to different cases.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Astera

JANUARY 25, 2024

Reverse ETL combined with data warehouse helps data analysts save time allowing them to focus on more complex tasks such as making sure their data is high quality, keeping it secure and private, and identifying the most important metrics to track. Data Models: These define the specific sets of data that need to be moved.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Insight Software

AUGUST 15, 2024

With a well-implemented MDM system, data in Power BI is clean, consistent, and enriched, allowing for more efficient data modeling and faster analysis. Streamlined MDM significantly enhances the value generated in Power BI.

IBM Maintenance 52

IBM Maintenance IBM Support Data Governance Government 52