Digital and data are like TV and movies. Imagine the following three scenarios of watching a movie during a long weekend with different types of technology. Note, all these movies are rated high or low on IMDB. Watching an amazing movie like Avengers End Game or Avatar on a laptop or iPad Now, that same […]
Posts Tagged ‘Data’
Snowflake for the Modern Data Platform
As times have evolved, so have our data challenges — but we have been trying to solve it for ages. Giving it dedicated resources, robust hardware, etc. we still end up missing SLAs in our traditional On-Premise & Cloud-hosted worlds. Add to the fact the constant dependency on personnel to manage the data loads, data […]
Using Cloud to Solve Healthcare Pain Points
This is the second post in a series on Google healthcare capabilities. To read the first post, click here. With the healthcare industry having to quickly jump on the cloud bandwagon with telehealth recently, it is becoming apparent that a new norm is (in my millennial opinion, finally) emerging. This begs the question – how […]
IBM Cloud Pak for Data Unifies and Simplifies
Cloud can create tremendous advantages by helping you harness data-driven insight, but many enterprises are still faced with a significant legacy system presence. Many companies find that the basic cloud model doesn’t address transformation complexities such as skills gaps, compliance, integration issues, vendor lock-in, and more. That’s why IBM has designed Cloud Pak for Data […]
Using Drill Back Types to Display Content in OneStream – Web URL
Drill back is a key function in OneStream that allows end users to have a visual representation of their source data. Direct Integration Connectors make it possible to directly connect to source GLs such as Oracle, PeopleSoft, or SAP. Listed below are different drill back types: Data Grid Text Message Web URL File Viewer File […]
Data Science Virtual Expert Panel Presented by AWS
Join us and our partner Amazon Web Services (AWS) for a virtual Q&A session on Wednesday, April 15. AWS will feature one of our experts to speak on a panel about the evolution and progress being made to solve critical business problems such as customer personalization and forecasting through the use of data science. Perficient […]
Combining Online & Offline Data in Automotive – Part Three
In the past two posts I explored the topic of automotive companies merging online and offline data to build better customer profiles and better understand their consumer base. In the first post, I discussed the data landscape in automotive and the overall need to combine online and offline data. In the second post, I focused […]
Why Data-Driven Decisions are the Key to Winning at Digital
Data-driven decisions It’s 2020. Organizations are flooded with information from a myriad of sources. Coronavirus is raging across the US and has created significant uncertainty. How does the savvy executive know where to devote time, energy, and budget? Answer: Manage with data The best organizations lead with data-driven decisions. Across industry sector and specialization, data-driven […]
Migrating Workloads to the Cloud with IBM Cloud Paks
This is the first in our series on IBM Cloud Paks. According to a study by McKinsey & Company, IT teams are migrating the simplest workloads to the cloud, but about 80% of workloads are still on-premises. This is because the basic cloud model does not address transformation complexities like skills gaps, compliance, integration issues, […]
Rookie of the Year: Perficient Wins at Domopalooza 2020
We’re excited to announce that we’ve been awarded Domo’s Rookie of the Year Award at the Domopalooza 2020 virtual conference. We’ve been partners with Domo for about a year now and look forward to continuing our relationship and sharing our delivery specialization and industry expertise. Domo Rookie of the Year This award recognizes our exhibited […]
Combining Online & Offline Data in Automotive – Part Two
In a previous blog post, I discussed the need and importance of combining online and offline data in the automotive industry. Now, in part two of this blog series, I will discuss some of the basic tools needed for combining online and offline data, as well as give some high-level examples of the types of […]
Combining Online and Offline Data in Automotive – Part One
As technology advances, new ways to gather customer data and new ways to use that data in marketing and customer outreach have emerged. This has created a new need for many companies in various industries. The need to combine offline data with online data in accurate and intelligent ways, allowing the organization to gather more […]