CRM data cleansing is the process of fixing duplicate, outdated, and incorrectly formatted records in your customer database. With 70% of CRM data going bad annually and poor data quality costing businesses $13.5 million per year on average, cleanup isn’t optional—it’s survival. Ever spent your weekend fixing spreadsheets because your CRM data was so messy […]
At Mammoth, we’ve worked with many teams who are evaluating tools to manage and analyze their data. A common question that comes up is whether to choose Databricks or Snowflake. Both are established platforms with strong capabilities, but they serve different purposes and are designed for different types of teams. This article explains the practical […]
Are you tired of wrestling with messy spreadsheets and spending countless hours cleaning data? You’re not alone. Data professionals waste over 50% of their time on data preparation instead of actual analysis. But what if there was a way to automate this process and focus on insights that drive your business forward? Enter Mammoth Analytics, […]
In today’s business landscape, data quality is paramount. Organizations across industries are realizing that the success of their operations, decision-making processes, and overall competitiveness hinges on the reliability and accuracy of their data. But what exactly is data quality, and why does it matter so much? Data quality refers to the condition of your information […]
Bad data can wreak havoc on your business growth. It’s a silent killer that creeps into your systems, distorts your decision-making, and ultimately hampers your company’s progress. But how exactly does poor quality information impact your organization, and what can you do about it? At Mammoth Analytics, we’ve seen firsthand how companies struggle with data […]
Data cleaning is the unsung hero of successful business operations. While it might not be the most glamorous task, it’s absolutely vital for making informed decisions and driving growth. But let’s face it – most of us would rather watch paint dry than spend hours fixing messy spreadsheets. Here’s the thing: dirty data isn’t just […]
In the world of data management, two terms often come up: data cleansing and data cleaning. While they may sound similar, these processes play distinct roles in ensuring data quality. Understanding the differences between data cleansing vs data cleaning is key for organizations looking to make the most of their information assets. At Mammoth Analytics, […]
