Automate and Digitize: Where Should Credit Unions Start to Build Efficiency?
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.
Unlocking Security Excellence: Essential IAM & RBAC Best Practices for Robust Application Access and IT Risk Management
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.
Natural Language in Data Visualization: A Showdown Between Tableau and Power BI
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?
Analytical Data Mart vs. Data Lake: Which Approach is Better for Your Analytics?
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.
How to Improve Analytics Capabilities and AAIM for Success
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.
3 Data Validation Best Practices to Prevent “Bad” Data
“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.
Business Intelligence Road Map to Smarter Decisions
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.
Power BI vs Tableau – Which is Better?
Although Tableau and Power BI are similar business intelligence tools, there are key differences that organizations should be aware of when considering analytical requirements.
6 Essential Data Visualization Best Practices
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.
KNIME Versus Alteryx
In this blog, we will look at the two tools side by side in terms of their ETL capabilities.
Three Table Calculation Functions for Tableau that Should be on Your Radar
We’re outlining three common client problems with their visuals and how they can be solved with lesser-known table calculation functions.
Performance Tuning Checklist for Tableau Dashboards
This list of changes, tweaks, or considerations is designed to improve the performance of a Tableau dashboard.
RFM Analysis in Tableau
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.
Optimizing Results with Business Intelligence Governance
Business Process Automation
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.
3 Factors Impacting The Return on Your Business Intelligence Investment
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.
