Build Your Own Event-driven Architecture using AWS Lambda & DataChannel and unlock multiple business-specific use cases

Read in-depth discussion on Master Data Management (MDM) and role of AI

Add the power of orchestration to your data stack. Explore our list of Top 7 Data Orchestration Tools: 2024

Check out our list of the top Reverse ETL tools of 2024 and identify which one serves your unique data needs best.

Uncover Benefits, Features & Use Cases of Data Orchestration with DataChannel

Have a look at the top 5 ETL Tools to watch out for in 2024.

Want to move a ton of data from Google Sheets to Your Snowflake data warehouse? Read On

To make the best out of each data source, every SaaS marketer needs data transformation and with right solution, data extraction & analysis is easier.

Automated Machine Learning can be leveraged to facilitate easy accessibility of Business Intelligent & Analytical insights to non-tech people with the right tools.

Effective data analysis provides you with actionable insights which can be used to make better decisions that will shape the future of your business.

Automated Machine Learning has become an integral part of organizations as it helps the data scientists to automate the repetitive processes of selecting the right model and optimizing it.

Google Data Studio offers around 370 community connectors and enables direct connections with any internet-accessible data source to provide unique reporting experience.

DataChannel now provides data integration from Google Drive, Amazon s3 and FTP. Click here to read more.

Marketing campaigns are starting out to be hyper personalized. This results in data-driven strategies, which inculcates efficiencies in organizations throughout the globe.

Personalized marketing is the new go-to for every D2C enterprise. But how to personalize data within marketing campaigns? Read more to find out.

In today's time the usability and adoption of AI have seen drastic growth, and this is the reason why the data-driven industrial sector is working hard to make AutoML more advanced and innovative.

In this blog we will talk about 7 must-have metrics for every SaaS marketer to drive growth and to help you evaluate the performance of marketing campaigns

With changing expectations and needs of customers the need for data-driven marketing is increasing too. The marketers thus, also need to fine-tune data available for better marketing.

Analyzing data from eCommerce platforms can often be cumbersome. Understanding customer data is key to improving your RoI.

Automated Machine Learning (AutoML) automates the process of applying machine learning to real-world problems. But it can not used to automate all the data science tasks.

With an exponential rise in Machine Learning and AI, automations are helping increase efficiency in data integration processes.

Google has announced that it will be bidding farewell to the third-party cookies. In this blog we will talk about how the marketers can make the best use of data integration tools in their absence.

In this blog we will talk about how to get all the data from the different marketing sources into a usable format using Extract, Transform & Load (ETL) process.

In this article, we will talk about reporting in Zoho Analytics and how DataChannel can build data pipelines to make the insights generated on Zoho Analytics more powerful.

Smart data can make things much easier for marketers unfortunately, many of them struggle with either finding the right data or the tools for aggregating data from multiple sources.

Machine learning helps in building systems that can create models by recognizing patterns from historical data so that they can be used in real-time without having to construct any codes.

The perfect blend of ETL tools and data warehousing can help an enterprise break the big data silos and drive actionable insights that can fuel your decision-making power.

The social media ecosystem has a lot to offer to a business, and with the right tools a business can can create a social media performance report and measure the KPIs easily.

Data-driven enterprises are switching to cloud based data integration platforms which offer benefits like flexibility, scalability, and cost-effectiveness among others.

Today’s healthcare professionals are not facing issues with the volumes of data but with making its best use. That's where AutoML comes into picture for providing better insights to them.

Data-driven marketing has to be an enterprise-wide data integration effort. For data-driven marketing a robust data integration platform becomes absolutely necessary.

To derive actionable insights from their business data organizations resort to ETL tools. In this blog we will present the list of best ETL tools for your business needs.

In today's times it does not matter in which field you are doing business, Automated Machine Learning is the methodology you will require to extract and handle your invaluable resources.

Automated Machine Learning can help data scientists and analysts in lowering their dependency on intuition by trying out an algorithm, scoring, testing, and refining other models.

Data integration helps in breaking down data silos and increasing its accessibility at the same time. Every company needs a data integration strategy for data-driven decision making.

ETL comprises of three main elements: extracting, transforming and loading data. Read more on how it benefits enterprises and businesses today.

Manual data collection becomes difficult as data needs and volume start increasing. Thus, automated data management becomes crucial to save time & energy too.

Data warehouses play a crucial part in eradicating data silos. It helps in aggregating data from various platforms, essentially removing data silos.

Marketers need to use the right reporting tools that not only help in gaining better understanding of the marketing reports but also increase productivity & perform accurate analysis.

Amazon Redshift is one of the most popular data warehouses. Read more on how DataChannel integrates with AWS Redshift to bring scalable data to your fingertips.

In this blog we will talk about how to turn Raw Data into real-time insights with DataChannel Warehousing Solution.

Marketing Analytics is the process of integration and the study of data generated through marketing campaigns but sometimes challenges can hinder that process.

With Amazon Web Services (AWS), any business can invest in the right amount of compute resources, data storage, and networking from a hosting provider.

Businesses today need data aggregation tools that help them transform data and gather actionable insights quickly to drive reliable decision-making.

Data Aggregation is important for deriving granular insights about individual customers and for better understanding their perception and expectations regarding the product.

ETL vs ELT : the main difference between the two methods is that ETL includes a staging area for implementing data transformation.

Integrating the different data generated from multiple platforms and bringing them on a data integration platform can help different businesses to work efficiently on their projects.

API stands for Application Programming Interface and refers to a specific set of rules and protocols that a program follows to maintain effective communication with each other.

The introduction of automated tools and deep feature synthesis has helped in the automatic creation of features between sets of relational data.

A process in which information is gathered, compiled as required, and expressed together with the purpose of preparing combined datasets for data processing.

Data transformations typically involve converting a raw data source into a cleansed, validated and ready-to-use format.

Integarte multiple APIs & data sources in an unified ETL & reverse ETL platform using DataChannel.

Data aggregation is a type of data and information mining process where data is searched, gathered, and presented to achieve specific business objectives.

Data needs to be precisely integrated into a common platform, known as a data warehouse, where it can be transformed to drive meaningful information.

When it comes to dealing with big data sets, data redundancy can be a major challenge. With DataChannel’s data integration solution, you can automate the process of data cleaning.

By aggregating the data of numerous similar medical cases, medical experts can come with more effective treatment methods to accelerate the overall healthcare facility.