Data Management and Security:
Client's data is their IPR; we understand that and have managed Data for our Clients without any mix-up or/any pilferage while we do sign-up mutual non-disclosure agreements to ensure data protection, we do not do the agreement for mere formality, instead ensure complete secrecy of data for its specific purpose of being imparted to Marketcare. We dedicatedly utilize the data to manage the relationships with Client’s prospects and Clients to optimize Lead generation, Client retention or Relationship exercise, wherein our Client’s data is updated and uploaded on mutual understanding and pre-decided frequency.
Marketcare can provide database through its own captive database or through its Secondary Research Capabilities of sourcing Prospective market segments under business-to-business categories right across India. We also have a range of data list partners (list brokers) that enable us to procure effective and up-to-date information on prospects an array of industry. Once the data is sourced, we can than manage the Client relationship with our CRM, whilst reporting the outputs on pre-decided frequency.
Data List Refinement:
It almost a cardinal rule whatever is the quality or recency of the subject database either supplied by our Client or procured/sourced, we have to rework upon the same due to changes in the Prospect Organization as we often find that the decision makers identified are not necessarily the purchasing decision makers. Clients have even used our Services to establishing and updating their data records so as to update their prospective decision makers being re-identified for recency of database. Data cleansing is an important and fundamental tool in effectively targeting new prospects and managing existing database.
Customer data analytics can reap significant financial rewards for your organization’s sales, marketing and customer service departments. With so much data to contend with, companies often struggle with making sense of information from customers, public records and external databases. We can evaluate the newest sales and marketing tools making the process easier for IT managers and sales executives.
The manner in which reliability data is analyzed and reported will largely have to be tailored to the specific circumstance or organization. However, it is possible to break down the general methods of analysis/reporting into two categories: non-parametric analysis and parametric analysis. Overall, it will be necessary to tailor the analysis and reporting methods by the type of data as well as to the intended audience. Managers will generally be more interested in actual data and non-parametric analysis results, while engineers will be more concerned with parametric analysis. Of course this is a rather broad generalization and if the proper training has instilled the organization with an appreciation of the importance of reliability engineering, there should be an interest in all types of reliability reports at all levels of the organization. Nevertheless, managers are usually more interested in the "big picture" information that non-parametric analyses generally tend to provide, while not being particularly interested in the level of technical detail that parametric analyses provide. On the other hand, engineers and technicians are usually more concerned with the close-up details and technical information that parametric analyses provide. Both of these types of data analysis have a great deal of importance to any given organization, and it is merely necessary to apply the different types in the proper places.