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.
More important than actual trends, remains the ability to leverage data assets across an ecosystem to ensure business visibility and actionable outcomes.
Looking at 5 Trends Within Data Management
Here are five areas we are seeing growth that relate to broader market trends and that are leading our customers to successful projects and implementations.
1) Focus on data consolidation - getting rid of data silos
Although data mesh is being touted as the greatest concept by many related to managing business outcomes through data, organizations struggle to unsilo their data constantly. Data movement is becoming more complex. Organizations need to create pipelines for more complex and diverse data sources that increase complexities and the potential to miss out on key insights. Creating a centralized data access point and enabling better visibility into data across the organization enables better outcomes due to better overall access to data and visibility into data assets without creating unnecessary redundancies.
2) Increase in data observability
As an extension of governance, organizations are starting to look at the health of their data across systems. This is why more organizations are investing in data observability tools and the market is experiencing a lot of growth in this area. Moving forward, 2023 will see a lot of investment in and planning for data observability. Organizations need to be able to understand their data better and that means ensuring greater observability.
3) Greater links between customer data and business insights
Salesforce is a defacto source to manage sales and customer data for many organizations. We see a lot of data pipeline development and movement both to and from Salesforce. Being able to move data within an ecosystem irrespective of where it resides or where it needs to be enables better management of the sales process and leads to better customer experience. Understanding the intricacies and differences of each customer. This helps with onboarding, support, and overall customer satisfaction.
4) Automation, automation, automation
Organizations want to automate processes and gain quicker time to value through reuse. The key is automating for reuse and enabling the automation of processes and pipelines. Through this, organizations can add more pipelines, reuse data assets, and ensure better overall data management by standardizing processes. Over time, this leads to better organization and prioritization of pipelines, and the ability to create new pipelines more quickly.
5) Expectations of low-code/no-code app development
Data engineers want quick development and delivery. The ability to leverage, what is considered self-service apps, become key when managing multiple moving parts. And the more complex the environment and the more data sources, the greater the need for a low-code/no-code application.
A Shifting Market
With talks of an impending recession, all of these trends also highlight the need to deliver more with less. Allocating budgets becomes a challenge with economic uncertainty, but organizations always need strong data management, and especially when the market is uncertain.