To cut cost, businesses must adopt effective data management process. This involves avoiding corrupt data, removing inaccurate data, and reducing the number of duplicates in your database. To achieve this feat, all the biz must create a holistic plan at all customer-touch points to reduce the of
Data Quality
Data quality involves in ensuring accuracy, timeliness, completeness, consistency and relevancy of customer data. Good quality data allow businesses to use it for effective decision, prediction and for extracting value from CRM tools.
How to get the complete process
One way to use data to connect with users is through data profiling. It helps to improve the effectiveness of Enterprise Resource Planning (ERP), Customer Relationship Management (CRM), or data warehouse application project. Data profiling is done through statistical analysis of data quality with in a data set. It uncovers the relationship that exist between different values within and across the database.
How to conduct Data profiling
The main purpose of data profiling is to consolidate the data to form a single-master resource. Before you start with data profiling, it's essential to:
1. Discover the common entity points in the database
2. Understand the attributes that carry similar information
3. Extract the common parameters form the data
4. Transform the data into standardized form
5. Benchmark with similar records
About Data Check Central:
DCC provides enterprise solution for data profiling, data cleansing, data augmenting and data standardization to create reliable information for your business. With Data Check Central's data solution, you can add business intelligent data into your existing file. Our services are best fit for small and medium sized business, and can dramatically improve the returns.
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