Precisely

SEPTEMBER 25, 2023

Data enrichment helps provide a 360 o view which informs better decisions around insuring, purchasing, financing, customer targeting, and more. Together, data validation and enrichment form a powerful combination that delivers even bigger results for your business. What marketing is effective in this area?

Data Validation 100

Data Validation Process Raw Data Data Cleanse 100

Knowledge Hut

JANUARY 30, 2024

Whether it's aggregating customer interactions, analyzing historical sales trends, or processing real-time sensor data, data extraction initiates the process. Utilizes structured data or datasets that may have already undergone extraction and preparation. Primary Focus Structuring and preparing data for further analysis.

ETL Tools 52

ETL Tools Database-centric Data Mining Data Cleanse 52

U-Next

SEPTEMBER 9, 2022

Recent statistics indicate that data engineering is one of the technology fields with the highest growth, with an increase in job postings of over 88.3 The IT, finance, insurance, and related professional services account for 5% of all data analytics and Data Science positions, according to the most recent reports from Forbes. .

Data Science 40

Data Science Computer Science Machine Learning Data Cleanse 40

Edureka

APRIL 17, 2023

For this project, you can start with a messy dataset and use tools like Excel, Python, or OpenRefine to clean and pre-process the data. You’ll learn how to use techniques like data wrangling, data cleansing, and data transformation to prepare the data for analysis.

Portfolio 40

Portfolio Data Analytics Project Data Mining 40

Knowledge Hut

APRIL 23, 2024

Compliance and Regulatory Reporting: Big data analytics helps banks comply with regulations by analyzing enormous volumes of data to spot any abnormalities or instances of non-compliance, ensuring that regulatory obligations are met. In insurance, big data use cases help with claim management and processing.

Big Data 52

Big Data Retail Recruitment Transportation 52

ProjectPro

AUGUST 24, 2021

A related example is when a vendor or insurer wants to know the number of products that will be returned because of failures. This data engineering project uses the following big data stack - Azure Structured Query Language (SQL) Database instance for persistent storage; to store forecasts and historical distribution data.

Data Engineering 52

Data Engineering Data Engineer Coding Project 52

phData: Data Engineering

JULY 18, 2023

Build Data Migration: Data from the existing data warehouse is extracted to align with the schema and structure of the new target platform. This often involves data conversion, data cleansing, and other data transformation activities to help ensure data integrity and quality during the migration.

Data Warehouse 52

Data Warehouse Pipeline-centric Government Data 52