We are proud to announce that Mammoth has achieved ISO/IEC 27001:2022 certification. This certification demonstrates our unwavering commitment to data security. Understanding ISO/IEC 27001:2022 Certification ISO/IEC 27001:2022 is a globally recognized standard that sets stringent requirements for establishing, implementing, maintaining, and continuously improving an Information Security Management System (ISMS) within an organization. Protecting Sensitive Information […]
We are excited to announce that Mammoth is now a destination in Segment’s rich catalog! Track every user action with Segment Segment is a single platform that collects, stores, and routes your user data to hundreds of tools at the flick of a switch. Segment is a great platform for collecting user interaction data from […]
If you struggle with data cleansing, normalization, standardization or consolidation, this article is for you. Mammoth’s powerful new feature will save you time, money and all the headaches.
Spreadsheets are the lifeblood software for most organizations. But for a small (and rapidly growing) population of analysts, there is an unmet need for something more. The pains of managing their data are growing on a daily basis with no real solution in sight. The widening gap between Excel users versus SQL or R programmers is becoming a real problem. The most basic set of tasks of managing rows and columns takes unreasonable amounts of time and involves costly resources. For organizations ignoring these problems, this means either squandering away potential growth opportunities or losing their competitive edge, and in most cases both.
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.