Staying in the driver’s seat means that YOU have control. You decide what data is collected, and how it is kept secure. You can control how your data is stored, who has access to it, and how it will be used to make decisions. You can also decide who to share that data with, and at what times. That level of control is integral to your data security.

In your financial institution you have access to a tremendous amount of data. Every piece of member spending, every member interaction with the institution, the status of every investment, etc. If you’re still analyzing that data manually, or worse yet not doing much with it at all, you’re leaving untold growth opportunities on the table. An analytics solution helps you harness that data and use it properly to leverage the institution’s growth. With that data, you can make predictions about investments, understand buying patterns, and make adjustments that best suit your members’ behavior. There’s a lot of data available, but having the right tools makes things significantly more manageable.

A successful analytics implementation shouldn’t just be about printing reports - it needs to focus on solving problems. It’s great that you can build better reports faster, but if those reports aren’t helping you run your business, they won’t have much value. A successful implementation means working with a company that rolls up its sleeves, and understands the problems that you’re facing. It means having a partner that looks at the wins that you’re trying to achieve, and how to get there. It means that we work with organizations from the top-down, to ensure support system-wide adoption that works as smoothly at the executive level as it does team-wide.

Unlike a physical warehouse that would store physical pieces of data, a data warehouse today exists as a storage system in the cloud. A data warehouse is a storage system that is designed to store your corporate data, and organize it in a manner that makes it easy to use and easy to find. Data warehouses are unique because they organize your data in a way that makes it easy to find what you’re looking for. Instead of having spreadsheets all over the floor, the warehouse maintains technology to categorize them so that they’re easy to access at any time.

Yes, for the most part. The majority of companies we work with have started their analytics journey with the creation of a dashboard, for example Microsoft Power BI along with some visualisations and correlation plots. This way stakeholders can properly understand the data captured and any gaps that need to be addressed can be easily identified. It also provides a good Business Intelligence foundation, to allow you to move on to predictive analytics and machine learning.