Smart Data Collective

APRIL 20, 2022

Despite the naysayers emphasizing the importance of shifting towards an online marketing model, they realize it is still an incredible method for finding out what your clients need and how to readily speak to them. The best ones know how to tap the power of state-of-the-art call center analytics technology to properly optimize their leads.

Strategy 102

Strategy Optimization Analytics B2B 102

erwin

JUNE 7, 2022

Accordingly, data modelers must embrace some new tricks when designing data warehouses and data marts. Data modeling for the cloud: good database design means “right size” and savings. Now to cover some data modeling basics that applies no matter whether on-premises or in the cloud. Data Modeling. Business Focus.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Timo Elliott

JANUARY 4, 2021

I recently participated in a web seminar on the Art and Science of FP&A Storytelling, hosted by the founder and CEO of FP&A Research Larysa Melnychuk along with other guests Pasquale della Puca , part of the global finance team at Beckman Coulter and Angelica Ancira , Global Digital Planning Lead at PepsiCo.

Dashboards 139

Dashboards Visualization Data-driven Forecasting 139

Smart Data Collective

JUNE 4, 2021

Data scientists use algorithms for creating data models. These data models predict outcomes of new data. Programming knowledge is needed for the typical tasks of transforming data, creating graphs, and creating data models. Machine learning is the science of building models automatically. Where to start? Ensembling.

Data Science 105

Data Science Statistics Deep Learning Machine Learning 105

AWS Big Data

JULY 20, 2023

Amazon SageMaker is used to build, train, and deploy a range of ML models. Additionally, SageMaker training jobs are employed for training the models. After the models are trained, they are deployed and used to identify anomalies and alert customers in real time to potential security threats.

Data Lake 87

Data Lake Analytics Snapshot Optimization 87

AWS Big Data

APRIL 4, 2024

In this post, we describe Aura’s successful and swift adoption of Redshift Serverless, which allowed them to optimize their overall bidding advertisement campaigns’ time to market from 24 hours to 2 hours. These campaigns are optimized by using an AI-based bid process that requires running hundreds of analytical queries per campaign.

Big Data 66

Big Data Data Warehouse Advertising OLAP 66