Biotech Data Analysis: Your Step-By-Step Guide (In 2025)
The Biotechnology, Bioinformatics and Computational Biology fields are growing on multiple fronts, including data volume and complexity. The amount of data generated is far larger than the ability to consume or make sense of it. While data volume may sound like a problem, there is another more significant and pressing issue, specifically around existing processes and general accessibility to data.
Combine Tables In Excel: In Minutes (No-Code Solution)
Here’s a scenario (that happens to be typical in the manufacturing world) – Dataset A (ERP data) contains a date range, and Dataset B (Sensor Data) contains rows that fall within the date range of dataset A. Example: The Objective Our goal is to combine the two datasets with “Time” as the common column. We […]
Hiring additional data engineers is a problem, not a solution
While the tendency to throw in more data scientists and engineers at the problem may make sense if companies have the budget for it, that approach will potentially worsen the problem. Why? Because the more the engineers, the more layers of inefficiency between you and your data. Instead, a greater effort should be redirected toward empowering knowledge workers / data owners.
Announcing our partnership with NielsenIQ
We’re really pleased to have joined the NielsenIQ Connect Partner Network, the largest open ecosystem of tech-driven solution providers for retailers and manufacturers in the fast-moving consumer goods (FMCG/CPG) industry. This new relationship will allow FMCG/CPG companies to harness the power of Mammoth to align disparate datasets to their NielsenIQ data.
Mammoth Analytics achieves SOC 2, HIPAA, and GDPR certifications
Mammoth Analytics is pleased to announce the successful completion and independent audits relating to SOC 2 (Type 2), HIPAA, and GDPR certifications. Going beyond industry standards of compliance is a strong statement that at Mammoth, data security and privacy impact everything we do. The many months of rigorous testing and training have paid off.
Information Technology
Eliminate data preparation, minimize data requests and focus on deep technology projects
Sales
Automate data processes to create and maintain quick sales KPI reports and dashboards
Marketing
Bring data from your marketing channels, into one place for a single, streamlined, and standardised view
Financial Services Manager
Streamline your financial data processes, internally and for clients
Brand Manager
Generate reports quickly. Eliminate the data wrangling and focus squarely on deeper brand insights