Data-driven organization

The core challenges in becoming data-driven

There is a lot to be said about the advantages of becoming a data-driven organization. Data-driven approaches lead to better decision-making, deeper understanding of your markets and clients, expansion of domain expertise, and overall increased growth opportunities. Getting there is the big ‘how’-question. Because data-driven organizations face a number of common challenges that are crucial to solve in order to come out on top.

Not enough or a lack of quality data

It’s a tricky subject: poor quality data. Having inaccurate, outdated, or incomplete data will lead to decision-making that can seriously harm an organization. It’s one of the biggest challenges in data management. Because how to know when there is enough data to interpret? Will it require hiring teams with data analysts, new tools, or systems?

Siloed data

A simple example of siloed data is when the information on your marketing reports are not integrated with those of your sales teams. Both departments will think and act according to the data they have gathered but integrating the two is what really makes the difference for your business results. Siloed data is a known challenge in organizations that lack integration expertise or integration platforms that can combine all these distributed data sources.

Analyze and visualize

It is one thing to be able to gather data, it’s another to interpret it correctly and visualize it in a way that makes sense to your operational teams. Having the right personnel and tools to make data useful is a common challenge for data-driven organizations.

Infrastructure

Infrastructure is the big one when it comes to challenges. Especially for large organizations that have a whole range of various data entry points coming from third-party providers, CRM systems, on premise components and cloud-based services. Not having the right integration architecture and data infrastructure to combine all these sources of information is becoming a growing problem. Not to mention, a security risk. Especially with the rise of digital transformation where more and more services require interoperability and a secure, and controlled exchange of information.

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Why an iPaaS is vital for data-driven organizations

What does an iPaaS have to do with becoming data-driven? An integration-Platform-as-a-Service (iPaaS) ensures that your data transforms into clear information that can be used for data analytics, A.I. applications and new business models. iPaaS solutions basically provide the whole toolbox, the container in which you can put all your services and applications, but also comes with built-in tools to help you extract more insights and connect your data sets. So in essence, iPaaS solutions tackle the biggest challenges for data-driven organizations: providing a user-friendly infrastructure to build your data points around

Better business through better data interpretation

As we’ve seen in the challenges, harnessing data is essential for the future livelihood of your organization. And interpreting data is where the magic happens. Better tools for analyzing and extracting data helps you create new business models, optimize your sales and marketing, and in essence leads to better decision making across the board. To achieve all this, your data will have to be secured, organized and accessible for the right stakeholders. Integration-Platform-as-a-Service solutions play a vital role in the following: