article thumbnail

Python for Business: Optimize Pre-Processing Data for Decision-Making

Smart Data Collective

For example, the Impute library package handles the imputation of missing values, MinMaxScaler scales datasets, or uses Autumunge to prepare table data for machine learning algorithms. Besides, Python allows creating data models, systematizing data sets, and developing web services for proficient data processing.

article thumbnail

Data Driven Companies Must Understand Differences Between Fact Tables & Dimension Tables

Smart Data Collective

So, whether you’ve been using Excel, SQL, CRMs, or other platforms to keep track of your data, this new technology will make accessing and configuring your data simpler. What’s missing is the context or meaning that gives that digit real, tangible value. What are Fact Tables vs Dimension Tables? That’s great, you may say.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

New Technologies To Look Out For at SAP Sapphire Barcelona 2023

Timo Elliott

“With SAP Datasphere, you can create a data model consuming data from different sources like SAP S/4HANA Cloud and SAP BW/4HANA, and non-SAP data sources like Google, BigQuery, and others,” Sangeetha explained during her demo. SAP is already working on more than 80 use cases for generative AI.

article thumbnail

Power of ETL: Transforming Business Decision Making with Data Insights

Smart Data Collective

The Importance of ETL in Business Decision Making ETL plays a critical role in enabling organisations to make data-driven decisions. Data Integration and Consistency In today’s digital landscape, organisations accumulate data from a wide array of sources.

article thumbnail

Sisense and Google Cloud: Driving Innovation and Digital Transformation Together

Sisense

The movement of data from on-premise systems to the cloud is imperative; the cloud market is nearly $250B and is growing quickly. Today, the ongoing shift to enable digitization into the cloud is seen as a primary way to modernize products and service offerings.

article thumbnail

Granularity Is the True Data Advantage

Dataversity

However, many organizations fall into the trap of thinking that more data means more sales, when these two factors aren’t directly correlated.

article thumbnail

What is a product data model?

Ntara

A product data model helps streamline a new or updated ecommerce website so that every product has exactly the right information in exactly the right place. PIM is a software that allows businesses to standardize all product data and related digital assets. A product data model analogy.