Customer Data Platform

Customer data has become the most important part of the business world. It provides marketers with a way to know their customers and make decisions that are based on their likes, behaviour, dislikes, and expectations from the brand. Customer Data Platform provides the feature of schema, a database concept that organizes customer data into tables, triggers, functions, and stored procedures. You can also choose the design of your schema. It can be logical, physical, and view.

When it comes to data, businesses can process it in two ways - Real-time or Batch Data Source. With real-time, data is processed as soon as it is received. While with Batch Data, all data is stored till the limit has been reached. Customer Data Platforms usually offer both types of integrations. How to choose between the two? Our team helps you out. We help you choose what’s best for your business.

Customer data platform offers you to transform and merge your datasets so that it becomes easier for your teams to get the insights they need. What merge transformation does is, it combines two datasets and puts them in a single one. With Merge transformation, you can combine the data from tables and files, remerge data after making changes to your data, make new complex datasets, and more.

Customer data platform helps you and your team deliver a relevant experience to your customers, no matter which platform they are using to interact with you. With a real-time customer profile, you get a 360-degree view of every individual customer and their journey with the brand. It allows you to put your customer data in a unified way where you can get a proper report of all your customer interactions. The best part? It works for all platforms; be it online, offline, or app.

Visualizing customer data is a great way to assist a business in analyzing and improving its performance. Once, all the touchpoints are recognized, we help you choose data that needs to be visualized. Visualization can be done in any form, chart, line charts, bar charts, and pie charts. It helps you get a better understanding of your customers’ likes, their needs, and their behaviour.

Enterprises receive and collect an overwhelming amount of data daily. But how they store it and how they use it, makes all the difference. With SQL Analysis, you can easily give complex directions to your database and make use of the relevant data in seconds. This helps your teams get intelligent insights so that your teams can make better decisions.

Internet accessibility is increasing at a rapid speed, and so are the customer’s expectations. And because of this, businesses are always under pressure to offer the best to their customers. With a customer data platform, you can not only use the data to provide the most relevant experiences to your customers but also predict their satisfaction scores. This is done through the Machine Learning algorithm. It helps your team get an estimated customer satisfaction score based on the delivery status, customers’ experience, customers’ expectations, product description etc.

Our data governance process ensures that enterprise data is available, usable, secure, and the integrity is maintained by internal data policies and standards. We ensure that the data in enterprise systems is consistent and trustworthy.

Data plays a major role when it comes to making any business-related decision. Data gives marketers a better understanding of their customers, their preferences, and their expectations. With a customer data platform, your marketing team’s job becomes even easier, especially because of the smooth integration with the existing marketing platforms. Customer data platform unites well with your marketing plans so that you can make informed, data-driven decisions.

Customer data platform integrates with your other apps and platforms in no time. API integration ensures seamless connectivity, enabling businesses to automate their processes and improving the data sharing and embedding between different systems and platforms.

Your Data Lakes store all kinds of data, from unstructured to structures, from text documents to random images, from raw to relational. It provides companies with the flexibility to choose from raw data to complete analytical reports. With a customer data platform, you can easily integrate and extend the functioning of your data lakes.