Our Data Support Services:

Flex Your Data Muscle 
Data Support Central provides comprehensive data management solutions to small and mid-sized business units. We use array of data cleansing services to sort out the issues in your customer datafile.

Our array of data management services cover:

• B2B Data Validation
• B2B Data Formatting
• B2B Data Appending
• B2B Data De-Duplication
• B2B Data Updation

Through remote processing of your data, we can ensure correct, accurate and consistent data for your business. Sign-up for sample append service.

Data Support Central can provide close scrutiny of your data through remote data management process:

• Check for inconsistencies in data
• Remove obsolete data
• Merge duplicate data
• Check for typos or spelling errors
• Convert data in correct format

 We follow this data Cleansing process:

• Send us your Data file via FTP or through email
• We analyze your requirement
• We recommend the test data Cleansing service
• We pass your data analytic team to for processing
• we format, remove duplicates or remove bad records
• We add new data in the place of missing fields
• We dispatch the data after final verification

The return file after appending will be given in the format of your choice. Most often we deliver a flat file or Excel file. Upload your file here or you can sign-up in the online form.

3common types of data quality flaws

Invalid data
You have data but it's obsolete. Wrong phone number, a nonexistent postal code, junk email address. These errors can be detected by proper scrutiny.

Incomplete data
Most often fields in your database are empty. Tracking such fields and finding valid data takes time and resources.

Inconsistent data
This happens mostly during data migration process or when you add bulk data from other sources. To avoid such inconsistencies, try to model your data for similar formatting.

Data Stewardship - Plan of Action

Answer key questions while evaluating data stewardship for a new project?

1. Who are the stakeholders of the data?
2. Who are the predominant user groups accessing data?
3. Can each end user be identified?
4. Who isresponsible for the capture, maintenance, distribution, and deletion of the data?
5. Understand who are the critical stakeholders of data?
6. What training programs are available to educate new processes?

Improve CRM initiatives by scrubbing bad Records

Your customers, CRM, markets and lead generation efforts are critical business assets; however, the performance of these could be undermined by one single factor: DATA.

Malign data in your data file can lead to bad CRM output & critical corporate errors. Before data shows age, put control on the data quality process through data management process.

CRM Data Quality
Data Check Central can support you in this process by combining powerful data analysis, scrubbing, matching, and data hygiene steps to monitor the integrity of your CRM data.

Our data scrubbing service support your biz to:

• Weed junk data from your customer data file
• Maintain data consistency and accuracy of CRM data
• Locate duplicate records or merge multiple records into one
• Append new data to your customer file
• Maintain integrity of your customer database

NEXT STEP: B2B Data Enrichment

Find if your data has signs of aging. Before it effects your CRM, run data cleansing program to remove duplicates, and incorrect data from your database.

Business Email Append? How and Why?

Email Append - Find your customers' email addresses

Email appending service adds valid email address to your customer’s record. Email append is used by B2B businesses marketers to solicit business and maintain a relationship with their client.

Why is email appending popular?

Adding email address of your customers to thousands of contacts is time consuming and expensive. Best way to quickly append email data to the customer records is through external email appending service.

How is email appending done?

During email appending process, your database is matched with the master database containing millions of contacts from your Industry or business. In the automated matching process, similar records are flagged and appended with correct email address. This way, your incomplete file is appended with deliverable email address.

It’s humanly impossible to append all records with email data. Email Append rate depends on the quality of in-house data and the size of master database.

During manual email appending, the records are appended manually. This is done when the data is unique.

Before delivering email appending file back to the user, all records are validated. This process minimizes undeliverable email addresses in your database and gives you maximum return on your investment.

Why do you need your customer’s Email Addresses?

• Saves marketing cost by communicating through emails
• Enables you to generate business enquires from email campaigns
• Increases web traffic and improves the visitor counts
• Save time and money when you market to your clients
• Connect with your clients through digital medium
• Reduce the dependence on postal marketing
• Quick delivery of marketing communication

Now you have a better insight on email appending and how fresh email address can gain better understanding of your customers and prospects.

Find out for yourself about our powerful email appending service. Sign-Up now to get test append done. You can start complimentary append by sending a sample file of 25 records for processing.

Questions to Build Your Customer Preference Profile

Self help questions for small Biz owners

• Who are your most profitable customers?
• What are the preferences of best customers?
• How profitable are they?
• What other products and services can you offer them?
• How can you reach more prospects like your best customers more effectively?

Is your customer data helping you to create a clear picture of your customer through all points of contact? Are you able to track, develop, and create effective marketing campaigns or sales initiatives based on your data?

Enhance the customer experience with superior customer data. Information about your customers can be gathered through many customer touch points; websites, customer service, email newsletters, conferences, online purchases or off-site events.

By collecting and organizing valued information of customers help to build habits and preferences, you are embarking your business one step ahead of the competition.

For questions or comments on any of the data management services, sign-up for a no obligation support call from our representative.

B2B data Assessment Questionnaire

18 self appraisal questions to access your data properties:

• What is the purpose of customer database for your organization? Is it for marketing, sales, executive decision, etc.?
• How much customers do you cover in your current customer database?
• What is the tolerance limit you've set for duplicate records?
• What are the various sources of data? email, fax, direct mailing address, phone, social profiles etc.
• Is there a single view of your customers?
• Does your data contain prospects as well as customers?
• Are there data schemas available for the different data sources?
• What online data are you tracking from online is available from web activity?
• Do you track transaction history in your data?
• Do maintain data through external partners or vendors?
• Are you currently maintaining customer church status?
• What efforts do you take to cleanse bad data? Who owns this process?
• what percent of email addresses are available on the database?
• Which channel of communication is widely used in marketing?
• Do you append firmographics or demographics to customer/prospect data?
• Are you using data for retention and acquisition programs?
• How frequently is the data updated?

Questions above give you a blueprint to manage your data or gives you snapshot on data usage in your business. Answering these questions will give you direction to develop higher level of understanding on data properties used in business.

For pre-sales product information, please sign-in for a complimentary assessment of data.