If you’re searching for financial forecasting software, you probably have one of two problems: you’re either drowning in spreadsheets, or your current tool is too complicated to actually use. The market agrees this is a real problem, Gartner named financial planning software a critical technology for finance transformation. Here’s what you need to know to […]

We write code every day, solve the most complex of issues, and diligently come up with the most simple and sophisticated solutions for every complex problem. We are Engineers, Designers, Lawyers, Business experts and more. But most importantly we wake up every day, and proudly call ourselves as problem solvers. Yet, there’s one problem for which we seem to come up with the weakest of solutions. Much has been spoken about it, and still so much to be done. Let’s talk about the Women in Tech.
While JSON seems to have taken over the world, there are glaring problems for both developers and non-techies alike — attempting to parse and manage the data.
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.

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 […]

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.
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 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.