A strong and dynamic market requires businesses to adapt quickly to remain competitive in their industry. Data has become the most fundamental asset, but how can you accelerate your data transformation to extract value from your data?
Low Code vs. No Code
Some organizations opt to create a no-code environment. However, it’s important to understand that in the long-term, this will add more complexity and hinder the transform layer. Let’s explore the options.
What are the options?
When faced with the challenge of building a robust data infrastructure there are two main options: "build" vs "buy". If you choose to build your infrastructure from the ground up, you will need a data team containing data architects (who shape the data), data engineers (to build the engine that imports and structures the data) and analysts (to work with your data, applied against your business knowledge). This can be a good choice for very large organizations with a budget set aside for numerous hires as it allows for maximum flexibility.
Organizations without the appetite, budget and timescales to hire and onboard such a team or work with a consultancy long term, will lean in the direction of buying in software to accelerate their time to value. So, what’s the difference between Low Code and No Code platforms?
What is No Code?
A No Code platform consists of a set of building blocks that allow non-technical users to pull together a set of capabilities that work out-of-the-box. In the data space, this typically involves choosing connectors to source data systems and linking them to a destination data warehouse. Some BI tools allow for direct connections to individual source systems and their usage in that manner would fall into this category.
Why would I choose No Code?
If your organization is especially small, or larger but very simple in business model and data requirements, then a No Code platform could be a good choice. In the simplest of organizations that have data-savvy business users, this will allow you to work with your data without an extensive data team.
What is Low Code?
Low Code platforms are designed to simplify the processes they are involved in, while adding the ability to create specific value using detailed business logic. In the data space, a Low Code platform typically performs portions of the data journey that are repetitive and time consuming, allowing you to customise your specific business logic into the process at the most important phases.
Why would I choose Low Code?
If your organization has any level of complexity or some level of internal data capability then a Low Code platform will offer you the best combination of time to value and customizability.
Where does Kleene come in?
At Kleene, we offer Low Code software and services designed together to springboard your internal data capabilities in the shortest possible time frames.
The Kleene platform ingests data from hundreds of different data sources and custom connectors are added by us all the time. The system allows you to clean and combine all this data into unified views across each domain of the business, taking into account specific business logic. Perhaps a 360 view of the customer combining data from ERP, marketing systems, social media and feedback, or a sales/financial view offering true net profitability after considering sales, product costs, marketing attribution and logistics fees.
The Low Code environment automatically takes into account all of the interaction and dependencies between the connected sources without any need for data engineering knowledge. All this data is presented in a data warehouse, pointed at a BI tool of your choice where your analysts or the Kleene team can create engaging and powerful analytics.
Kleene Intelligent Data Cloud solves the deployment and operations of modern data infrastructure, providing a low code solution that is the fastest way for analysts to deliver data driven insights for their business.
