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

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

Preparing Your Ecommerce Store For The 2021 Holiday Season

Melissa IN Team | Ecommerce | , , ,

To maximize your profits, your energy needs to be focused on three goals; preparing your backend logistics, promoting your brand and giving customers the best experience.

As the holiday season approaches, retailers start thinking of new ways to ensure that their products find a spot in gift baskets and stockings. A holiday-centric product line is probably already in production and now is the time to start thinking about marketing and outreach strategies. The online sale boom usually begins around November. In 2019, online purchases accounted for only 13.6% of sales. In 2021, this number is expected to reach 19.5%.

Read more “Preparing Your Ecommerce Store For The 2021 Holiday Season”

Cleanse Match for SQL Server Data Quality Service (DQS)

Melissa IN Team | Data Quality Services | , , ,

Data can help companies identify challenges and opportunities and make timely decisions for their growth. Despite being aware of this, 58% of a survey’s respondents claimed that at least half their regular decisions were based on experience and gut feel rather than data.

One of the key reasons for this is unreliable data quality. Data Quality Services introduced in the SQL Server help overcome some of the challenges of improving data quality and, in turn, minimizing risks of wrong analytics and inaccuracies.… Read More