
Growth Acceleration Partners | October 23, 2024
How Can Data Management and Engineering Revolutionize Your CIO Role?
Chief Information Officer (CIO) roles continue to evolve as technology grows. Since the mainframe era, CIOs’ major roles revolve around managing IT infrastructure and ensuring system stability within an organization. And now, in the 21st century, their job responsibilities lean strongly toward innovation and strategic decisions to lead digital transformation efforts. But here’s the catch: […]
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Growth Acceleration Partners | February 20, 2024
Business Intelligence, Data Engineering, Data Pipelines
Challenges When Implementing Data Pipelines (and How to Fix Them!)
Data pipelines have quickly become critical infrastructure for businesses of all sizes. But the ever-changing world of data science makes it difficult for the average company to effectively implement a streamlined system for collecting, analyzing, and reporting information. In fact, the complexity involved in building the necessary infrastructure to facilitate data-driven decision-making is enough to […]
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Growth Acceleration Partners | November 13, 2023
Data Engineering, Data Science
Data Science vs Data Analytics: What Most Businesses Get Wrong
The digital age has introduced massive quantities of “big data” to the enterprise landscape. Businesses increasingly use this data to guide their growth, strategic decision-making, product development and marketing. Yet many enterprises fail to consider fundamental differences in data science vs. data analytics. This can result in underperforming investments in one or both areas. To […]
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Growth Acceleration Partners | October 10, 2023
What Is Next-Level Fintech? Data Engineering Experts Chime In
The financial technology (fintech) landscape comprises a range of categories: personal finance, lending, crypto, investments, stock trading and even real estate. And every single sector of this rapidly-evolving industry depends on data engineering for its success. Each sector requires varying amounts of data that must be updated at different times. A significant challenge for fintech […]
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Growth Acceleration Partners | May 1, 2023
Data Engineering, Modernize for Data Analytics Platforms
Migrating from Universal Analytics to Google Analytics 4: What You Need To Know
There's only two months left before the deadline to migrate your Google Analytics account to GA4 without losing data. Here's what you need to know.
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Growth Acceleration Partners | April 10, 2023
Data as a Product, Data Engineering, Modernize for Data Analytics Platforms
Using Data Analytics Correctly to Future-Proof Your Company’s Assets
“Big data” has taken the business world by storm. Modern companies have quickly realized they must embrace a culture driven by data analytics to gain a competitive edge. There’s never been a time when so many billions of data points regarding customers, trends, markets and futures were as readily available — so are you taking […]
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Growth Acceleration Partners | September 20, 2022
Cloud & Data Advisory, Data Engineering, Data Science
Lab Notes: Time Series Anomaly Detection with Azure
Microsoft Azure’s Anomaly Detector provides out of the box machine learning solutions for time series data. Let’s see how it performs!
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Growth Acceleration Partners | August 3, 2021
Data Engineering, Machine Learning & AI
Lab Notes: Slack integration and the inclusion of Watson API
We're taking our chatbot a step further, exploring search & slack integration with IBM’s Watson API to create a more intelligent, human-like interface.
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Growth Acceleration Partners | July 6, 2021
Labs Notes: BLE Single-antenna Distance Detection Accuracy
We explore the feasibility of using an inexpensive Bluetooth Low Energy (BLE) approach to detect the distance between a beacon and a single-antenna receiver.
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Growth Acceleration Partners | January 20, 2021
Data Engineering, Web Development
Big Data in Healthcare: Opportunities and Challenges for software engineers
As healthcare institutions go through the process of digitization, many of them are grappling with how to leverage big data for important initiatives like disease research, patient care and public health management.
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