This is the second post in a 5-part series on hidden attribution flaws marketers should watch out for in their marketing strategy. In a recent Perficient Digital survey of B2B organizations, 92% of marketing leaders stated that proving the impact of marketing campaigns was a growing priority for their company. Last week we talked about […]
Data + Intelligence
Early Thoughts on the Adobe Client Data Layer
Last month, Adobe Open Sourced an Event-Driven Data Layer implementation. They call it the Adobe Client Data Layer and you can find it on GitHub: https://github.com/adobe/adobe-client-data-layer The project is currently a tech preview and should not be used in production. However, for the more enterprising among us, it’s fun to investigate bleeding edge solutions from […]
Oracle Analytics Cloud and Autonomous Data Warehouse – Better Together
Perficient Presents at Oracle OpenWorld 2019. Oracle Analytics Cloud (OAC) and Oracle Autonomous Data Warehouse (ADW) are setting the standard for cloud-based data warehouse and analytics deployments with respect to speed to value, flexibility, performance, self service and advanced capabilities like AI and natural language queries. If you are thinking about moving all or […]
Predictive Model Ensembles: Pros and Cons
Many recent machine learning challenges winners are predictive model ensembles. We have seen this in the news. Data science challenges are hosted on many platforms. Techniques included decision trees, regression, and neural networks. And, winning ensembles used these in concert. But, let’s understand the pros and cons of an ensemble approach. Pros of Model Ensembles […]
Data Wrangling – Comparing Three Predictive Analytic Techniques
I spend a bit of time data wrangling. I try to pay mind to what the predictive analytic technique needs. Likewise, it does things on its own too. Then again, when interpreting results, I think on it again. Worse, when I try to compare models or create an ensemble, I really need to know. So, […]
Data Ethics – The Profound Impacts of New Technology
Data ethics and security have been around a long time – as long as data. Constantly evolving. But, continued tech advancement has made a profound impact. So, data security and data ethics is more important than ever. 1. Magnified Relevance Tech has enabled an exponential increase of data. We know this. The more data, the […]
4 Signs Data Accuracy Could Be Impacting Your Marketing Automation Platform
This is the first post in a 5-part series on hidden attribution flaws marketers should watch out for in their marketing strategy. How clean is the data in your marketing automation platform? It is likely you cleaned at some point, but are you cleaning it regularly? Data changes instantly and consistently, and if you don’t […]
Meet Perficient’s Chief Strategists: Mike Porter
Thrilling our clients with innovation and impact – it’s not just rhetoric. This belief is instrumental for our clients’ success. In 2018, we introduced our Chief Strategists, who provide vision and leadership to help our clients remain competitive. Get to know each of our strategists as they share unique insights on their areas of expertise. Understanding […]
Machine Instruction 3.0: Express Your Desire
The evolution of expressing our machine instruction. Let’s get there together. Machine Instruction 1.0 In the past, we taught our computers what to do by expressing our desires with exact instruction. Classic computer programming that listed step by step instructions. We taught our machines how to behave. Arguably, even legacy artificial intelligence worked this way. Of course, this way of directing […]
OLAP and Hadoop: The 4 Differences You Should Know
OLAP and Hadoop are not the same. OLAP is a technology to perform multi-dimensional analytics like reporting and data mining. It has been around since 1970. Hadoop is a technology to perform massive computation on large data. Around since 2002. They can be used together but there are differences when choosing between using Hadoop/MapReduce data […]
Is Your AI Strategy Haunted?
Many enterprises set out with good intentions to transform their organizations with AI, but fail to deliver without a strong AI Strategy in place. A game plan that overlooks business requirements and scalability often sets AI journeys up for disappointment and turn leadership off to future investments. But you don’t have to let your past […]
Machine Learning Models Have People Skills
I like seeing patterns across domains. Consider machine learning models and employees. Both models and people can be appraised. What is an employee appraisal? Employee “performance appraisal has three basic functions: (1) to provide adequate feedback to each person on his or her performance; (2) to serve as a basis for modifying or changing behavior […]