Analytics

Following best practices for KPIs (key performance indicators) is an essential start for any marketing initiative, but it’s often an overlooked step. Let’s look and why KPIs are so important and some practical advice that can help you incorporate, and get value from, your KPIs.   What is a KPI?   KPIs and goals often get […]

In the bustling city of Tech Ville, where data flows like rivers and companies thrive on insights, there lived a dedicated data engineer named Tara. With over five years of experience under her belt, Tara had navigated the vast ocean of data engineering, constantly learning, and evolving with the ever-changing tides.One crisp morning, Tara was […]

Importance of Product Data in Driving Sales When you don’t have a storefront and a salesperson to do the talking, your product content has to be rich. So, your task is to reduce the uncertainty as much as possible. Remember, customers won’t always buy the better product; they prefer the product they better understand and […]

Reflecting on Summit At the Snowflake Summit, a strong commitment to AI was emphasized. Both Snowflake and NVIDIA have made strides in building their AI capabilities. The rise of AI, particularly generative AI, has been a prominent topic at cloud tech conferences over the past year. As a former Snowflake employee and current customer, I’m […]

From patient records to medical device telemetry, the volume and diversity of data generated for medical device companies can be staggering. However, harnessing this data to its full potential remains a significant challenge for many. Healthcare organizations, including medical device companies, grapple with dispersed data across various departments and technologies. This fragmentation impedes timely and […]

Documentation is a crucial part of your analytics implementation. From your Solution Design Reference document to your internal wiki for all resources, making sure that you can write and edit your documentation is key to ensuring a cohesive and thorough understanding of your implementation. With effective documentation, you can: Prevent knowledge gaps among team members […]

On Operational projects that involves heavy data processing on a daily basis, there’s a need to monitor the DB performance. Over a period of time, the workload grows causing potential issues. While there are best practices to handle the processing by adopting DBA strategies (indexing, partitioning, collecting STATS, reorganizing tables/indexes, purging data, allocating bandwidth separately […]

Background Microsoft Fabric is emerging as one-stop solution to aspects revolving around the data. Before the introduction of Fabric, Power BI faced few limitations related to data ingestion, since Power Query offers limited ETL & data transformation functionality. Power Query M Language scripting lacks ease of development, compared to popular languages like Java / C# […]

Many times, in my career when performing QA, I’ve dealt with many times where I’ve felt uncertain about my efforts. Through my work at Perficient—and with the help of my team—I’ve learned over time how to persist and show grit in testing to be able to ensure the highest quality of work delivered throughout a […]

One common way of implementing tags through Adobe Launch is using a data layer, which is a JSON object (key/value pair) that is loaded onto the page from which attributes are passed through as the user navigates through the website or completes certain objectives. This can be extended further into using an Event-Driven Data Layer […]

Adobe Launch is a valuable tool to help you manage the tags placed across your website, including Facebook, Pinterest, and Bing pixels as well as Adobe Analytics and Target depending on your property. Many of these tags are either deployed via custom code or via one of the many extensions within Launch’s extension to help […]

In this Blog Post we will see methods of writing Spark DataFrame into tables and creating views, for essential tasks for data processing and analysis. Before diving into this blog have a look at my other blog posts discussing about creating the DataFrame and manipulating the DataFrame. Creating DataFrame: https://blogs.perficient.com/2024/01/10/spark-scala-approaches-toward-creating-dataframe/ Manipulating DataFrame: https://blogs.perficient.com/2024/02/15/spark-dataframe-basic-methods/ Dataset: The […]