2023-03-21 | Article | Insights
Data is essential to everyday business operations. Companies use data to make informed decisions and gain insight into their customers, products, and services. However, data is often spread across different systems, databases, and applications, making it difficult to access and analyze. This is where data connectors come in. Data connectors allow businesses to integrate and consolidate their data into a single source of truth, providing a unified view of their data and enabling more accurate analysis and decision-making. Digitl Cloud offers a solution for clients for data connectors for all the different data sources used and outsources the API and data management to Digitl Cloud.
Having data spread across different sources can lead to several challenges. One major challenge is the inability to compare different data sets because of data silos. When data is not consolidated into a single source of truth, it can be challenging to compare data from different sources as it is difficult to ensure that it is up-to-date and consistent. This can lead to suboptimal decision-making and a lack of trust in the data. In addition, data quality can be compromised when data is stored in different systems. Having a single source of truth enables teams to collaborate more effectively and decision-makers to have access to accurate, up-to-date information, resulting in better decisions.
Finally, having data spread across different sources can be time-consuming and costly due to the amount of manual work needed, which can impact productivity and increase the risk of errors. This can lead to inefficiencies and delays in completing projects. Additionally, storing data across different systems can increase costs, as businesses need to maintain and manage multiple systems. By eliminating the need to manually collect and consolidate data from different sources, businesses can save time and reduce the risk of errors. This, in turn, can lead to cost savings, as businesses can allocate resources more efficiently and reduce the need for manual data entry and processing.
Data connectors are the key to achieving a single source of truth. A data connector is a software tool that allows businesses to integrate and consolidate data from different systems, databases, and applications by allowing them to communicate with each other, enabling data to be transferred between them. There are many different types of data connectors available, ranging from pre-built connectors for popular applications like Salesforce, Google Analytics, and Google Ads, to custom connectors that can be developed for specific business needs.
One popular way to extract data from sources such as web applications, databases, or online services is by making REST API calls. APIs, or application programming interfaces, are a set of protocols that allow different software systems to communicate with each other. API connectors enable businesses to integrate data from different applications and systems using API calls, providing a unified view of their data, and offering greater flexibility and customisation options.
In conclusion, data connectors are essential tools for achieving data integration and creating a single source of truth. They allow data to be shared and synchronised across different applications or systems, eliminating data silos and ensuring that everyone has access to the same accurate and up-to-date information. With the help of data connectors, organisations can streamline their operations, improve data quality, and make informed decisions.
Digitl Cloud provides a comprehensive and integrated solution for automating extract, load, transform (ELT) pipelines. Out-of-the-box connectors Digitl Cloud has built are available for many popular platforms such as Facebook, Instagram, Snapchat, TikTok, Criteo, Salesforce, Adwin, and more.
The process begins by defining the sources and goals for the data during the kick-off phase. A cloud environment is created, and API credentials are requested. The automated ELT pipeline ensures that extraction is done daily through marketing channels' APIs, or direct connections when available, providing up-to-date information for informed decision-making. Data ingestion is then initiated into a predetermined data warehouse, and the data is transformed using DBT into a ready-to-analyze state, making any changes demanded by the client to meet their analytics and reporting requirements.
The client can then choose to export or use the data in their current cloud environment, or work with Digitl Cloud to implement further projects such as marketing mix modelling, leveraging machine learning for conversion probability predictions, and more. At Digitl Cloud, all ongoing maintenance and management falls under our responsibility, so the client can focus on value-adding activities that increase operational efficiency.
Partnering with Digitl Cloud means that clients can rest assured that their data is secure and their ELT pipeline is fully automated, providing them with the most up-to-date, accurate, and relevant information for driving their business forward. Contact us today to learn more about how Digitl Cloud can help take your business to the next level!