
According to a recent Gartner study, ignoring dirty data is the primary reason Customer Relationship Management (CRM) initiatives fail. Regardless of where your data is coming from, it needs to provide you with the most complete picture of each customer's business transaction with your company. In other words, in order for your data to do its job, it not only has to make sense, but also has to be reliable and consistent, so you can make effective business decisions, decide on new marketing directives, and develop strategic initiatives.
Data Warehousing for CRM provides incredible benefits and quantifiable returns on investment for those companies savvy enough to take on such initiatives. After all, knowing more about your customers across all aspects of their interactions with your organization, will not only help you understand and improve your relationships with them, but also allows you to analyze the strengths and weaknesses of your organization as a whole. Collabera can help you reap the rewards of consolidating and incorporating this information into a CRM Data Warehouse, while addressing the data quality issues, within your organization.
How many customers do you have? If you were to ask this question of three different people at your organization, you will get a different answer each time. That is because no company has 100% clean data. Even with the best of us, inconsistent, erroneous, and redundant data will always exist. By analyzing your system, Collabera lets you know where these inconsistencies exist and provides long and short-term recommendations on how to improve your data quality.
In order to be successful, data needs to be treated as an enterprise-wide rather than a departmental entity. In the CRM world, your Marketing, Sales, and Service organizations are not separate from the rest of the organization – so why keep data separate? Looking at your specific needs, Collabera can recommend and implement a customer and product master database that provides the information needed by all the departments. By creating an enterprise-wide data management system, information can be pushed to a department level, turning your one-way data stream into a virtual freeway of information.