Data + Intelligence

In this episode, Jim and Kim talk with Brian Flanagan, Digital Experience Strategist at Perficient, about the rise of generative AI and its potential to replace or augment human workers. Is this the end of the road for half the workforce, or just the beginning of a new era in productivity? Get ready to ponder […]

We are in an age of consumer data. Modern web tools and content management systems are making it easier than ever for businesses to gather data on their customers in order to tailor their web experiences. Additionally, with the increasing prevalence of first-party cookies, businesses can deliver individualized experiences to their users with a higher […]

Written in collaboration with Amanda Klinge   We have seen a major shift in how consumers shop for products online. From groceries to luxury goods, people rely heavily on the information readily available thanks to the convenience of their personal devices. Over the past few years, one industry stands out due to a notable shift […]

Life is full of intersecting points. The payments industry is no different, and we’re quickly approaching a new intersection point due to the Real-time Payments’ movement into the US. These days, as the US prepares to embrace real-time payments in 2023, the intersection of real-time payments and automation has become a key point of discussion. […]

Machine learning is now being used all around the world and it’s helping the analytics team greatly in saving costs and improving business decisions. A Machine learning project starts with Raw data and Ends with a web application that can predict outcomes and generate insights from raw data. The following Steps are Involved in the […]

2023 Banking Automation Trends Perficient is looking forward to bringing our unique combination of automation technical know-how, along with industry expertise in Financial Services and Payments to the Bank Automation Summit in Charlotte, North Carolina on March 2-3. The Summit brings together experts in the field, including bank executives, technology vendors, and consultants, to discuss […]

Salesforce is one of the most widely-used Enterprise business platforms for Sales, Marketing, Customer Engagement, and Client Relations. Across industries, businesses rely heavily on Salesforce products & solutions to get their customer engagement right, which impacts their top-line growth.   Perficient’s Salesforce Managed Services   Having a Salesforce Managed Services Partner will help address the intrinsic challenges […]

DAX provides a whole host of powerful time intelligence functions, allowing you to do things like build custom calendars, define dynamic date ranges, and compare performance over specific periods. Common Use Cases: Creating custom calendar tables with DAX instead of using the default auto-generated versions. Writing measures to calculate period-over-period, moving average, or running total […]

In today’s saturated world of marketing data, the customer remains at the centre of what marketers do. Chief Marketing Officers (CMOs) often face higher expectations from their management and customers regarding personalizing marketing data for optimizing the marketing dollar. Fact Check! According to a Forbes Insights and Epsilon survey, 81% of marketers said they face […]

This article helps you to accelerate your Power BI reports by improving their back-end code. Effective use of DAX functions: Adding DISTINCT () and VALUES () functions persistently: In DAX, the blank value necessitates special consideration. Power BI assigns a blank value to the column when connecting directly to a query since it is unable […]

Amazon recently released a new data tool called DataZone, which allows companies to share, search, and discover data at scale across organizational boundaries. It offers many features such as the ability to search for published data, request access, collaborate with teams through data assets, manage and monitor data assets across projects, access analytics with a […]

We often end up creating a problem while working on data. So, here are few best practices for data engineering using Snowflake: 1. Transform your data incrementally: A common mistake novice data engineers make is writing huge SQL statements that join, aggregate, and process many tables, misunderstanding that this is an efficient way to work. […]