Towards Data Science

AUGUST 2, 2023

By this collaboration, we will set the data quality standards that are aligned with the actual needs and expectations of our users. Consistency : The level of harmony and conformity of data across different sources or within the same dataset. Timeliness : The measure of how up-to-date the data is.

Building 98

Building Data Consolidation Data Datasets 98

Grouparoo

AUGUST 24, 2021

What you really want is a unified view of your data using Customer Data Integration so you can take action on it. Customer data integration here might include creating a data warehouse where you can house your accurate and complete dataset. A data warehouse will scale as your data and company grow.

Data Integration 52

Data Integration Data Consolidation Data Warehouse ETL Tools 52

WeCloudData

OCTOBER 19, 2021

Tools used: SQL Server, Python, Tableau Milestones Data Consolidation Transactional data Customer ID, Date of purchase, Transaction id of purchase, Total amount spent, Quantity of product ordered, etc. Segment customers based on spending behaviour , time between multiple purchases.

Consulting 52

Consulting Electronics Data Consolidation Machine Learning 52

WeCloudData

OCTOBER 19, 2021

Tools used: SQL Server, Python, Tableau Milestones Data Consolidation Transactional data Customer ID, Date of purchase, Transaction id of purchase, Total amount spent, Quantity of product ordered, etc. Segment customers based on spending behaviour , time between multiple purchases.

Consulting 52

Consulting Electronics Data Consolidation Machine Learning 52

FreshBI

JULY 27, 2020

Direct Integrations: This custom connector allows you to integrate your Xero data with ANY other dataset. You integrate with your data. All of your data. Consolidations: A. of the Xero authentication process is that multi company Xero Consolidations is possible.

BI 52

BI Data Consolidation Banking Business Intelligence 52

Ascend.io

DECEMBER 14, 2022

How ETL Became Outdated The ETL process (extract, transform, and load) is a data consolidation technique in which data is extracted from one source, transformed, and then loaded into a target destination. Optimized for Decision-Making Modern warehouses are columnar and designed for storing and analyzing big datasets.

Data Integration 52

Data Integration Raw Data Data Consolidation Data Warehouse 52

AltexSoft

NOVEMBER 23, 2021

In simple terms, data remains in original sources while users can access and analyze it virtually via special middleware. Before we get into more detail, let’s determine how data virtualization is different from another, more common data integration technique — data consolidation. Know your data sources.

Process 69

Process Data Lake Metadata Data Warehouse 69