Systems | Development | Analytics | API | Testing

A Simplified Guide to Cloud Data Platform Architecture

Since the 2006 launch of Amazon Web Services (AWS), the world’s first hyper-scale public cloud provider, thousands of data-driven businesses have shifted on-premise data storage and analytics workloads into the cloud by architecting or adopting a cloud data platform. As the volume, variety, and velocity of enterprise data continues to grow in 2023, cloud data platforms with legacy tech and complex architectures are becoming increasingly time-consuming and costly to manage.

Changing Consumer Behavior Transforms The Retail & CPG Industries

It’s no secret that consumer behavior and expectations changed dramatically during the two years of the COVID pandemic, changes that have disrupted supply chains and raised the marketing and customer service bar for retailers. In this episode of “Data Cloud Now,” host Gautam Srinivasan chats with Freddy Guard, Snowflake’s Head of Retail & CPG for North America, about those changes and how it has accelerated the demand for cloud-based, data-driven solutions to meet the challenges those changes have engendered.

7 Easy Steps to Building an Actionable Data Strategy

With a clear framework, best practices, and case studies. Modern enterprises are struggling with an overabundance of raw data and underutilization of data assets for achieving business objectives. The right data strategy helps you unlock the hidden potential from the stored-but-seldom-used enterprise data. In this article, you will learn.

5 Data Management Trends For 2023

Every year analysts, vendors, thought leaders, and everyone in between like to surmise the upcoming trends for the year. I am going to do something a little different this year. I am discussing some trends, just like everyone else, but basing them on what we are seeing with customers and how they are succeeding with the Integrate.io platform. Not just succeeding, but levering complex and diverse data sets to enable better business decisions and support growth.

Data Warehouse Best Practices: 6 Factors to Consider in 2023

Data warehousing is the process of collating data from multiple sources in an organization and store it in one place for further analysis, reporting and business decision making. Typically, organizations will have a transactional database that contains information on all day to day activities. Organizations will also have other data sources – third party or internal operations related. Data from all these sources are collated and stored in a data warehouse through an ELT or ETL process.

Analyzing Your Call Center Data with Drill-Down Processing

A recent study on call center statistics found that 91% of consumers reported poor customer service in 2021. Providing high-quality service is essential, especially today, to retain customers and drive more business. Quality service is only one important metric in running a profitable call center. No matter your goal, the first step is understanding what's going on in your call center.