Your Guide to Scalable Data
Unlock, Analyze, and Act on Your Data
Data is not just nice to have.
There couldn’t be a more accurate statement to describe the evolving role of data analytics.
In our all-digital, multi-channel world, digital business has become an imperative shift. Across teams, data analytics is now a necessary core function to drive business growth. To solve the complex problems organizations face today, leaders need a scalable data strategy to increase business agility.
Pervasive use of data analytics can help teams make smart decisions fast and with more accuracy than ever before, while eliminating blockers that impede collaboration. IT leaders, specifically, are in a unique position to unlock data in ways that transform how teams create and deliver rich experiences for themselves and their customers.
“Think of data as a trusted teammate who proactively tells you when there is a problem, instantly answers your questions, and helps you automate business processes to close the loop from insight to action.”
Successful IT leaders should view this new frontier of data integration as an opportunity for innovation across their business, from marketing and sales to service and planning and beyond. This playbook shows the power of data to speed up your organization’s digital transformation. It brings together product capabilities to address how CIOs like you can unlock, analyze, and act on your data to drive growth at every level of their business.
Before we get started, let’s establish a working definition of data integration.
What is data integration?
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What is data integration in data analytics?
What is ETL data integration?
How is data integration done?
API-led integration is the key to unlocking your data
When integrating data sets, most organizations default to writing custom code. While this may appear to be the faster solution, relying on point-to-point integrations will create technical debt. Your IT teams will take on more complexity, shifting their focus from innovation to maintenance.
So, what’s the alternative? It’s a standardized way to connect data and applications with reusable, composable APIs designed to perform a specific role, such as unlocking data, composing data into processes, or delivering an experience — API-led integration. With this approach, teams can unlock a data set once and empower others throughout the organization to use that data in their own experiences, resulting in 3x faster project delivery and a 63% reduction in maintenance costs.
LendingTree built a complete view of their customer, helping them deliver highly personalized experiences.
LendingTree used MuleSoft to integrate customer information housed in multiple systems to give service representatives a holistic picture of their customers, so they could provide more personalized experiences.
Read why unlocking data was a vital step for LendingTree to transform their business.
Build Layers of APIs
Start by building APIs that unlock data from all of your systems. Once all of your data is available, create APIs that layer on top of the existing foundation of data to transform it and support end-state use cases. For example, additional APIs can be used to orchestrate your data into functional blocks, such as integrating SAP and Salesforce data into a single block of customer data.
The final layer of APIs will power the experiences you want this data to feed into, such as an analytics platform, a mobile app for customers, or a website for employees.
Implement Layered Security
Data security starts with eliminating vulnerabilities. Most of this functionality should exist in your integration platform, including mandatory policy configuration, tokenization, and network edge protection.
You should look to implement layered API security, meaning there is security around the perimeter within which the API is deployed, around the API itself, and on the data at rest and in transit.
Establish Ongoing API Management
Once you deploy a new API, it’s essential to manage it closely. Some common API management best practices include setting alerts, configuring access management, and defining SLA tiers.
Make sure to track API usage in case you need to calibrate data governance and access down the line.
Monitor the Health of Your Network
of organizations leveraging APIs experience increased productivity.