Optimus Think

Metadata goes beyond just aiding in data retrieval. It ensures your data is secure, compliant and, most importantly, understood consistently by everyone in the organization.

Realize the full potential of your data and gain a competitive edge by following this 4-step approach to maximize the value of your data.

In 2024, cyber security is not just a technical issue – it’s a business imperative central to all Canadian organizations, irrespective of size or sector. According to the Canadian Centre […]

Welcome to the world of data-driven organizations where it is crucial to have a well governed repository to efficiently store and manage your valuable data.

Credit unions that want to improve efficiency should start by identifying their pain points, building a business case for digitization/automation, conducting a pilot program, implementing quick wins, and exploring new opportunities.

The rise of new technologies and the ever-evolving IT landscape have necessitated the implementation of a robust Identity and Access Management (IAM) system accompanied by a Role-Based Access Control (RBAC) framework.

Two industry-leading data visualization tools, Tableau and Power BI, both offer the ability to query data using natural language. But how do they stack up?

With technological advancement rapidly reshaping how we do business, a company’s ability to leverage data to make more informed decisions is the key to staying competitive.

“Bad” data can be prevented by following best practices for data validation to ensure data presented to business users in reports, dashboards, or other tools is consistent, accurate, and complete.

If your organization is having difficulty deriving greater insight, understanding, and intelligence from your data, you are not alone.  Data is everywhere. But accessing, organizing, and making sense of it can be daunting.

Although Tableau and Power BI are similar business intelligence tools, there are key differences that organizations should be aware of when considering analytical requirements.

We have identified 6 Essential Data Visualization Best Practices. Adhering to these best practices makes it easier and faster for users to gain insight from large volumes of data and thereby make the best decisions for their business.

In this blog, we will look at the two tools side by side in terms of their ETL capabilities.

We’re outlining three common client problems with their visuals and how they can be solved with lesser-known table calculation functions.

This list of changes, tweaks, or considerations is designed to improve the performance of a Tableau dashboard.

RFM (Recency, Frequency, Monetary) analysis is commonly used for customer segmentation, to split our users into types. This analysis is especially common in retail to create a view of customer types.

The whole point of technology – and this is an overly simplistic view – is to automate routine, repetitive tasks with the goal of reducing costs, eliminating non-value added activity and improving productivity. This is a concept that dates back to the industrial revolution – increase productivity and reduce costs through mechanization.

The decision to invest in business intelligence (BI) tools can and should be an easy one. To put it quite simply, good information and intelligence is required by every organization. In an era where competition is fierce, having ‘accurate’ information in hand can act as a catalyst for building competitive advantages. It can also help an organization to make quicker and more logical decisions, which in the long run leads to a more profitable bottom line.