Smart Data Collective

JUNE 19, 2022

You can leverage machine learning to drive automation and data mining tools to continue researching members of your supply chain and statements your own customers are making. How can AI help with brand reputation management? This will help you identify issues that have to be rectified. Competitive Advantage Risk.

Intellectual Property 361

Intellectual Property Due Diligence Data Mining Advantage 361

Smart Data Collective

JANUARY 19, 2022

A number of data mining tools make it easier to understand the market. You can do your due diligence by using data analytics tools like Qlik and Resonate. Use customer data to better understand them. This is a clear example of why researching the market landscape is vital before starting anything.

Marketing 311

Marketing Marketing Due Diligence Predictive Analytics 311

Smart Data Collective

AUGUST 11, 2022

Data analytics technology can also help you figure out the best policy on upfront payments. You can look at historical data on how other customers have responded to these requests. You can also use data mining technology to see what types of policies other companies use. Adjust the invoice schedule.

Due Diligence 321

Due Diligence Data Mining Finance Technology 321

Smart Data Collective

APRIL 8, 2021

How to Avoid It: Make sure to do your due diligence in distinguishing your employees from your contractors. You can use data mining tools to see how the IRS previously classified various workers and use an AI system to help make classification recommendations. AI technology can actually be surprisingly useful here.

Due Diligence 189

Due Diligence Data Mining Finance Algorithm 189

Netbasequid

SEPTEMBER 12, 2022

Modern market research platforms are built on advanced AI technology that works with existing structures (whatever state they currently exist in) to collect data in a regulated, convenient fashion. M&A due diligence. And the due diligence process is better done with agile research methods.

Market Research 98

Market Research Marketing Research Research Due Diligence 98

Datapine Blog

DECEMBER 28, 2021

Given the importance of data in today’s rapidly evolving digital world, it is important to be familiar with the basics of misleading statistics and oversight. 3) Data fishing. This misleading data example is also referred to as “data dredging” (and related to flawed correlations). Are Statistics Reliable?

Data Mining 145

Data Mining Analysis Globalization Research 145