For any organization with a rigorous need for continuous data validation, data enrichment services are a simple and strategic approach to higher analytical productivity. Taking in charge of a large database may not mean the world for your business if the information it has is incorrect or inaccurate. Data becomes the backbone of any data analytics you do. Regarding data, there are many things that can go wrong – be it data construction, arrangement, formatting, spellings, duplication, extra spaces and many more. To perform the data analytics properly we require various data cleaning techniques so that our data is perfectly ready for further analysis. As one of the leading data cleansing service providers, Biztechnosys will optimize the strength of your database, marketing and sales efforts resulting in an increased return on investment (ROI) for all your marketing activities.
Our team of professionals help businesses format, classify, modify, replace, organize, delete and correct collected data information across multiple data fields. When you outsource data cleansing services to Biztechnosys, our team will assist you channel your database optimally and conceive better targeted sales and direct better marketing campaigns. Our team of experts successfully rectifies all the lumps present in your data, updating old and obsolete data, performing referential integrity checks, organizing mailing lists, ensuring consistent attribute names and create homogenous pools of data to deliver a much more efficient and effective data to the customers.
Data cleaning also called as data cleansing refers to the process of recognizing and eliminating or correcting unwanted or inaccurate records from a dataset, table, database and refers to recognizing unfinished, unreliable, inaccurate or non-relevant parts of the data, then restoring, remodeling, or removing the false or crude data. Data cleaning techniques may be executed as batch processing through scripting or mutually with data cleansing tools. After cleaning, a dataset should be steady with other similar datasets in the operation. The discrepancies identified or eliminated could have been mainly caused by user entry mistakes, by corruption in storage or transmission or by various data dictionary descriptions of similar items in various stores.
Of course we do! Data cleaning techniques are not only an integral and important part of the data science process but is also the most time-consuming part of the data science process. Without the data cleaning techniques, the neural networks and image identification modules will not be as efficient and effective as we want them to be. With the increased demand of big data, data cleaning methods has also become more important than ever before. Every industry – be it banking, healthcare, retail, hospitality, education is now navigating in a large ocean of data and hence they all require data cleaning to have more accuracy in their data sets. And as the data pool is getting bigger, the variables of things that are going wrong are getting larger as well.
Each fault becomes difficult to find when you can’t just look at the whole dataset in a spreadsheet on your computer. Regardless of the type of analysis or data visualizations you require, data cleaning is an important step to ensure that all the answers that you generate are accurate and prompt. While collecting data from various different streams and with manual input from users, information can tend to carry mistakes, be incorrectly inputted or have gaps. Therefore, data cleaning always ensures that information shall complements the correct fields while making it simpler for business intelligence tools to get along with data sets to find information more efficiently and effectively.
We identify and remove duplicate records from the data
We identify key variables in existing database
We also suggest new variables to enrich your database
We provide data auditing and data aggregation
We tag similar records after a manual review
We match and correlate data across a number of fields
We interlink and consolidate multiple data sources
We convert crm systems from a set of records, tables or databases
We add missing details such as first and last names, date of birth, telephone numbers and postal codes
We enhance databases with additional information like product attributes, images and manufacturer specifications
Needless to say, if your database is not clean, you will be spending a great amount of money on dead information. As a marketer, you cannot afford to have such huge expenses. Every penny you spend on sales and marketing campaigns must yield an optimal return on investment. This can only be achieved if your data is completely accurate clean and free of errors. Some of the major benefits that data cleansing offer include –
Data cleansing improves the decision making process - If you have clean data at your disposal, you can make business decisions quickly. The business to business market grows faster. You can have the correct address and phone numbers of an organization, but their sizes grow. You can make the right decisions only when you have correct data. So data cleansing services improve decision making process of an organization.
If your data is clean, precise and complete then you will have a more effective list of prospects. Precise and accurate data ensures that your emails and letters will reach the right inboxes. This will uplift customer acquisition efficiency.
If the data is clean, accurate, and consistent, your employees can make quick and right decisions. Data cleansing services also ensure that your employees access correct information, which eliminates the risk of any fraud in the business.
Accurate, clean data improves response rate drastically and lead to increased revenues. Also, when you have correct data the roi of your sales and marketing campaigns increase to a great extent.
By eliminating unwanted or duplicate data from your database, you can streamline business practices. Data cleansing besides suitable analytics can help you find new business opportunities.
We identify and revise unwanted, inaccurate, incomplete, missing, spurious, invalid, corrupt or obsolete data to make the final data more accurate and powerful. We suppress information against industry standard files such as mps, gas, tbr, nsf etc. We compare and remove records that march any third party information – e.g. Opt-in and opt-out lists. We rectify discrepancies with respect to spellings, abbreviations and type errors. You can contact our team of professionals and outsource your data cleaning, data enrichment services to biztechnosys and gain advantage over your competitors.