How can this new technology concretely help with data quality monitoring? Context: Data Quality Bottlenecks Data applications have an increasing amount of data to aggregate and process. Thus, data quality issues hamper business and activity monitoring. Data quality problems and anomalies are often identified by end users, who then submit an incident ticket to…

You don’t need to reinvent the wheel every time you create data reports. — How data siloes come to be Different entities or departments in any organization have different data needs. HR departments might access employee data to gain insights on hiring, geographic locations, promotions, personal growth, etc. Finance departments might access data on pay stubs, expenses, incentives, etc. It is very likely that both departments create separately owned locations…

This article is based on the work and observations of Dan Luu, Senior Data Engineer at Arrayo. With 8 years of experience in the Life Sciences industry, Dan has experience with wet lab, dry lab, and data automation initiatives. Most scientists will agree that they spend too much time on…

How Biotechs could do a better job at hiring and retaining software developers — This article is part of a series highlighting the expertise of people making up Arrayo’s network. Today we kick off a three-part article by Stephen Whelan, Senior Data Engineer in biotech. Stephen’s background combines bench-level biotech experience and tech world best practices. Introduction Given recent tech layoffs, many software engineers are…

Moving Between Industries as a Records Management Expert Though switching industries is relatively common, few transfer into financial services a decade into their career. Chelsea Haynes is an exception. She’s been working in Records Management since 2009 spanning industries such as IT Services, real estate, energy, and now, financial services. The reasons for these moves? …

ML Applications and the Talent You’ll Need — Combining the Strengths of Two Industries What would a biologist ML expert catch that a pure data science person (with no biology experience) wouldn’t? When Justin started out as a scientist developing computational tools, he never imagined he would someday work at Amazon. …

We asked Frank, our colleague and resident Agile enthusiast, to guide us through a typical Daily Standup under Agile. — Studies have shown that monotony, coupled with high levels of alertness, can exacerbate stress in the workplace. (Thackray, 1981) Agile is a great tool. But there’s no denying that in its everyday application, it can start to feel monotonous. What are some ways you can avoid monotony in one Agile…

This article is for professionals who are curious about upskilling in data analytics and coding but need convincing. How are they going to fit into the competitive digital landscape? Fear of AI Replacing my Profession I am a compliance and risk professional who’s been hearing about the importance of data…

USE CASE With model training occurring across different environments and being done by different people, it can be hard to keep track of what model types and parameters have been done by your organization. Further, post-hoc evaluation of models can be very challenging because images for items like training curves and different…