Today, more than ever, enterprises are awash in data, emanating from diverse sources such as social media, IoT sensors, transaction details, customer behavior, and much more. Handling this tremendous flood of information is no small task. Enter the promising concept of outsourcing data processing.
Understanding Outsourced Data Processing
Outsourcing data processing simply means delegating the task of managing, organizing, processing, and converting business data to an external provider. By outsourcing, organizations hand off the complex, commoditized, and often cumbersome task of data management to outside specialists, enabling them to focus on core business areas. Turnaround times and even qualitative analysis for decision support are examples of services these providers offer. One might consider the initial claim filing by a healthcare provider, the scrutinizing and cleansing of this data by an external entity, and then the final processing and organizing of this data into actionable insights.
Nevertheless, despite its advantages, some CEOs and managers voice concerns related to data security, control over processes, and quality of services. However, stringent data protection laws safeguard businesses globally. Experienced outsourcing providers comply strictly with these regulations, assuring clients on the data security front. Furthermore, outsourcing does not mean relinquishing all control. Instead, properly structured Service-Level Agreements (SLAs) provide a mechanism to monitor and manage the quality of the outsourced services.
The Case for Outsourcing Data Processing
In an IDC study, 56% of businesses plan to outsource their data management. This isn’t surprising when you look at the numerous benefits of this approach:
Cost-Efficiency: Outsourcing replaces fixed costs with variable costs, which are easier to control. It also eliminates expenses associated with recruitment, training, hardware, and software. A Deloitte survey found companies save up to 59% of operational costs from outsourcing data processing tasks.
Focus on Core Business Activities: Outsourcing allows organizations to concentrate on core functions. Without getting entangled in data management, they can innovate, strategize, and deliver superior customer service.
Leverage Experts and Advanced Technology: By outsourcing, businesses can tap into a pool of highly skilled professionals and cutting-edge technology without incurring costs. This ultimately contributes to efficient and accurate data processing.
Scalability: As businesses grow, so does their data. Outsourcing ensures they aren’t limited by in-house capacity, allowing them to scale their data processing requirements up or down as required.
With these sound reasons to outsource data processing, “It’s not about whether you should outsource or not; it’s about doing it right,” says David Feinleib, Managing Director of The Big Data Group.
The Roadmap to Outsourcing Success
The journey towards successful outsourcing involves meticulous planning, establishing robust processes, and forging secure partnerships with vendors. Follow these steps for a smooth transition:
Identify Your Requirements: Understand the scope and scale of your data processing needs. Define clear objectives and success metrics.
Select a Reliable Partner: Look for a provider with a track record of successful projects in your industry. Prioritize factors like technology compatibility, communication skills, and culture fit.
Draft an Effective SLA: SLAs define expectations and responsibilities. They should include performance indicators, data security protocols, privacy regulations, dispute resolution, and exit clauses.
Communication & Management: Maintain open channels of communication and regular project updates. Also, set up a management team to oversee the outsourced tasks.
Transition & Training: Successful outsourcing requires a smooth transition and training to the vendor team. This involves clear documentation and process mapping.
In an era defined by the complexity and velocity of data, outsourcing data processing services appears an excellent option. As long as corporations ensure they choose experienced, reliable data processing partners and establish a robust governance framework, they will find that outsourcing delivers not only cost savings and efficiency but could well unlock new dimensions of business excellence.
So, is it time for your business to embrace the power of outsourced data processing? Leveraging external expertise could transform data from a routine operational demand into an exciting strategic advantage.