Eminenture Blog

  Data cleansing is a part of processing wherein it is ensured that the data is correct, consistent and useful. This process involves detecting and filtering errors or corrupt data entries, missing space, incomplete data typos and other related inconsistencies. These are all corrected and then, the data are transformed in a usable form or make it ready for analysis, research or any other business purposes. This is called processing. In the data world, a data cleansing and processing services company covers every step from capturing, web extraction, cleansing to quality testing and tailoring data format as per requirements. Today, these processes are the must-have for big data research, AI and data science.  In short, Data Cleansing Processing can be a combination of, but is not limited to the following sub-processes: •                      Data Migration, which is all about data upload, capture, import, & export to the defined server/ cloud storage •                      Data Coll

  However, it’s really challenging to project the exact cost for a virtual assistant service in the UK. On the basis of an online research and personal experience, the average starting cost to hire a virtual assistant from the UK is nearly £25 per hour. The professional may vary, so is the cost. As experience and skills develop, you should expect to pay more than this average projected cost. It may rise up to £50 or more for a highly specialised support. The seekers may personally contact or communicate with freelancers on virtual services availing websites over the internet to get the best expert at a reasonable cost.

  No, they differ from each other. Data science is a wide concept, combining machine learning, natural language processing and artificial intelligence, which are used to find a solution that can minimise human efforts. On the flip side, data mining represents only a process or subset of data science, which involves web data extraction, cleansing to transform and loading to produce sources to machines for learning & creating a model that can make them or applications to think & respond as a human does. Some people confuse it with machine learning also. Machine learning is a complementary concept of data mining, which takes modeling to the next step where filtered models are validated to set as a machine learning algorithm.   

  Integrating AI means automating tasking, which minimizes risks, manual efforts and errors in business processes of any type. SMEs and large enterprises are overwhelmingly infusing it for being so powerful in quick analysis, decisions or intelligence and multiplying revenues. The substantial thing is that no physical barrier like pandemic can stop business activities, as it ensures infusing digital business experience to corporate lives . So, you may see the changes in these areas with it: ·          Improving meetings ·          Enhancing sales and marketing ·          Assessing and improving customer service ·          Improving product development processes ·          Automating content generation ·          Enhancing the manufacturing process ·          Refining recruitment ·          Assuring IT managed services ·          Customer support in no time

  As outsourcing refers to contracting out any third party professional, it can be of different types. To change a corporate journey , one often looks for an option that costs low with improved efficiencies in a quick turnaround time.  Typically, these are of four types:  • Local outsourcing  Relocating services to local third party is called local outsourcing.  • Offshore outsourcing  Relocating services to any third party services provider overseas is called offshore outsourcing.  • Onshore outsourcing  Renting out services to third party service providers in the company’s own country is onshore outsourcing.   • Nearshore outsourcing  Relocating professional services to people nearby region is known as nearshoring outsourcing. 

 Eligibility verification is the process of verifying claim details to be submitted with a healthcare provider. This process involves checking for the authenticity of codes and validity of services to be offered. Once it’s done, the claimer can easily avoid claim re-submission, reduce demographic or eligibility-related rejections and denials, which finally increase upfront collections. This finally results in improved patient satisfaction and smooth medical billing process that has billers and coders in a great role.

Making data entry easier needs a proper strategy to make it happen. Deploying a dedicated software and OCR program is an exceptional idea to carry on this task with the least of efforts and money. These two technologies can improve data entry accuracy through automation also, which is enhanced with these steps: ·          For calendar, create a custom lists to make its shortcut. ·          Customise lists that you have. ·          For series, drag to quickly fill up the cells. ·          For consecutive numbers, fill a Range with them. ·          For days, create a list of five working days without weekends. ·          Create a custom fill series. ·          Create a dropdown list to enter repetitive data from the filter button. ·          Save Keystrokes by selecting a range to fill it up. ·          For decimal points, save Keystrokes by forcing them. ·          Use formula for quickly filling a range with a single value. For more information, click here

There are many web scraping tools available over the internet. One picks up the most viable tool by getting deep with its features and matching them with the requirements. However, the best ones of all tools are- ParseHub , Scrapy, OctoParse , Scraper API , Mozenda , Webhose.io , Content Grabber and Common Crawl. In addition, we use codes in R and Python to meet your requirements.  Click here to learn more about web scraping tools and techniques.