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data cleansing outsourcing
Neha Panchal
Neha Panchal Updated on Mar 12, 2024  |  4 Min Read

Between changes in customer information to formatting inconsistencies, there are high chances of dirty data lurking in your CRM or other databases. Often left unseen, this poor-quality data can have detrimental impacts on business—risking new customer acquisition and frustrated customers, impeding sales and marketing efforts, and draining resources and revenue. Duplicate entries and inconsistency across systems inflate costs and skew analytics, hampering decision-making. Outdated data paints an incomplete picture of customer relationships, hindering efforts to nurture loyalty and drive sales. In a nutshell, dirty data erodes trust, undermines marketing ROI, and impedes growth.

CRM Data Cleansing Outsourcing vs In House

As CRM systems play a key role in modern business workflows, stakeholders must address this issue before it overruns the organization. Clean data, on the contrary, not only helps in unlocking the true potential of CRM but also empowers decision-makers with actionable analytics that propel companies in the forward direction—highlighting the need for an effective data cleansing process in place.

Given the time-consuming and resource-intensive nature of the data clean-up process, many organizations often find it difficult to resolve the debate whether to outsource data cleansing or perform it in-house. Both these approaches have their merits and demerits and determining the ideal way requires careful consideration of various factors, which are specific to business needs and objectives. That said, here’s a breakdown of both the options to help you make an informed choice:

Exploring the Option of In-house Data Cleansing

Complete control over who can access business-sensitive data is one of the irresistible advantages of building an in-house data cleansing team. This internal team is well-acquainted with the nitty-gritty of the business-specific processes and data structure, facilitating quick fixes and addressing urgent data quality concerns. Additionally, stakeholders get the flexibility to tailor their clean-up process according to CRM-specific systems, unique datasets, and business requirements so that these can be seamlessly integrated with existing workflows.

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On the flip side, there are various drawbacks to this approach. Recruiting, training, and managing an in-house data clean-up team is time-consuming and resource-intensive. The upfront investment in terms of employee salaries, data cleansing tools implementation, and maintenance, etc., further adds to the burden. The internal team might lack the experience and expertise necessary for handling complex data issues efficiently. Besides, there’s limited scalability implying moving the efforts up or down based on workload can be difficult.

Outsource Data Cleansing Services

Businesses that resort to outsourcing data cleansing get the dual benefits of professional excellence and technological competence without going through the hassles of building an entire in-house team. The service providers possess the tools, technologies, and trained professionals hired from around the world to handle data cleansing projects. Having worked day in and out on data clean-up tasks, they become well-versed in managing the intricacies of the process, bringing industry best practices to the table. These experts strictly adhere to the timelines while the flexible delivery models ensure you get the correct, consistent, and coherent database at your disposal.

Compared to building an internal team, data cleansing outsourcing is a more cost-friendly option as you simply have to pay for the services availed, without the overhead costs associated. This scalability and affordability are especially beneficial for companies with limited budgets and looking to allocate their resources strategically across various business functions. Moreover, offloading data cleansing helps businesses increase the cognitive bandwidth of their employees, allowing them to focus better on core competencies.

However, concerns regarding data security and privacy are valid considerations when outsourcing. Sharing data with a third-party provider not only introduces potential security risks but also limits the control over the cleansing process and data access. Addressing the same, professional providers implement robust and clear data privacy policies, follow strict security protocols, and allow only authorized people to access your data. They also offer data enrichment services to help you make the most of your valuable assets.

Finding the Ideal Approach: A Balanced Perspective

The ‘one-size-fits-all’ approach is no longer valid in the modern business world. Similarly, establishing any approach as the best is not possible. Instead, the ideal approach depends on business-specific objectives and circumstances. Considering the below-listed factors can help you find the option that best suits your data cleansing needs:

  • Carefully analyze the size and complexity of your data. While data cleansing for smaller and subtle datasets can be done in-house, outsourcing proves to be a more efficient option for large and complex datasets.
  • A thorough evaluation of available resources, including budget is necessary to determine the ideal approach. If the budget is limited, investing in tailored data cleansing solutions becomes a more viable option than getting an internal team.
  • Another important factor to be considered is data sensitivity. Businesses dealing with highly sensitive and confidential information must consider handling and cleaning data in-house. Additionally, if data security is paramount, in-house control might be preferable.
  • Getting an in-house data cleaning team is beneficial only for businesses with limited requirements. However, for organizations with fluctuating data cleansing needs, outsourcing offers flexibility and scalability to accommodate the data influx.

Data cleansing is not a one-time fix, but an ongoing process. Thus, the right approach aligns best with unique business goals, resources, and data security requirements. Companies can even consider a hybrid approach, which is a mix of merits of both options—in-house resources for basic tasks and outsourcing more complex projects.

Harnessing the Best of Both Worlds

A hybrid approach can be the most pragmatic solution for organizations seeking a middle ground. Businesses can retain control over critical aspects of data cleansing and management while leveraging the efficiency and expertise of professional providers. For example, basic data cleansing tasks such as deduplication and address formatting can be handled in-house while more complex tasks like data standardization and enrichment, can be offloaded to an expert data cleansing service provider. This fusion allows you to reap the benefits of both external expertise with retained in-house control.

By carefully considering business needs and adopting the right approach, decision-makers can ensure a clean and efficient CRM, which is not only a repository of information, but a strategic tool paving the way for stronger customer relationships and improved business outcomes.

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