Data Cleansing For Healthcare

Melissa AU Team | Australia, Data Cleansing, Healthcare Data Management | , , , ,

A hospital or clinic’s reputation is built on how it treats patients and their caregivers. In turn, patient treatment is dependent on the data available about them. Yes, we’re talking about symptoms as well as the patient’s age, gender, lifestyle, etc.

Given that healthcare professionals collect data from hundreds of patients each day, maintaining high-quality standards is a big challenge. According to a study, by 2025, big data in healthcare is projected to have a CAGR of 36%.… Read More

Melissa Data Quality Suite & Clean Suite Named a Leader by G2

Melissa Team | Address Quality, Address Verification, Clean Suite, Data Cleansing, Data Enrichment, Data Quality, Data Quality Suite | , , ,

Melissa’s Data Quality Suite and Clean Suite was once again named a leader by G2. Check out the Data Quality Grid to see how our solutions for address verification, email and phone validation, record matching and data enrichment ranked on the Report – plus review the high customer satisfaction scores we earned.

Thank you to those who have taken the time to provide feedback by submitting a review.… Read More

Data Cleaning in Machine Learning: Guideline and Checklist

Melissa AU Team | Australia, Data Cleansing | , , ,

Machine Learning (ML) is helping businesses across industries solve problems and deliver tangible benefits. The chatbots customers interact with, to get more information on customized product recommendations on websites – these are examples of how ML helps businesses improve their customer service and simultaneously increase conversion rates. You can build ML models for many real-world applications but its usefulness hinges on one key factor – the quality of data being analysed.… Read More

5 Data Cleaning Strategies Your Company Needs Right Now

Melissa AU Team | Australia, Data Cleansing | , , , , ,

Netflix uses data to understand customer preferences and create blockbuster series based on them. Coco-Cola leveraged data analytics to personalize advertisements. UBER identifies trends to set dynamic prices and solve the demand-supply gap.

Today, data plays a critical role in determining the success of a business idea. That said, it isn’t just the quantum of data available to a company that matters.… Read More

Data Cleaning – The What, Why and How

Melissa AU Team | Data Cleansing | , ,

Deciding what to include and exclude in the new product range – deciding price points – estimating delivery timelines – all of this and more is based on analyzing vast amounts of data. In 2020, on average, every individual generated 1.7 megabytes of data per second. But, quantity isn’t everything. Poor data quality can cost businesses between $9.7 million and $14.2 million annually. Thus, as our reliance on data increases, so must the efforts to clean data.

Read more “Data Cleaning – The What, Why and How”