How to handle unstructured data without expanding in-house teams?

 

How to handle unstructured data

Big data handling is very important in the present digital era, where data is at the base of every decision. Companies collect it from applications, Internet of Things, Point of Sale machines, online surveys, social media, and more online alternatives. Overall, the collection is ongoing, which raises a concern for managing it effectively. This dedicated blog article specifically gives practical ideas regarding how to handle unstructured data without incurring extra cost. 

To do so, some smart companies manage it effectively without expanding their in-house teams. They choose cost-effective alternatives, such as MS Office 365 for data management, AWS, or any server. 

The most preferred and cost effective alternative that is globally accepted is to outsource non-core functions like data entry, file conversion, and IT management. There is a rock solid reason behind it, which Deloitte has reported. It found that 65% of companies that delegate non core tasks to an external professional primarily intend to reduce costs. On the other hand, 63% found it as a key driver to focus on core activities. 

Outsourcing is emerging as the most cost efficient big data entry solution for businesses, which provide accurate management practices. With a flexible partner in place, these companies shift their back office operations. It prevents overburdening of their internal teams without investing millions of dollars.

Why expanding in house isn’t always smart?

Can you anticipate additional resources required for unstructured data management? Think from the perspective of everything – covering recruitment, training costs, salaries to benefits, and management oversight. The overall cost of scaling an internal team will add up fast and dilute focus from the quality of decisions. This is why many companies now prefer cost-effective data entry services for businesses to streamline operations without overspending.

 Let’s have a look into some advantages that building internal teams can cause.

  • Salaries, infrastructure, and employee benefits will be long-term commitments that cost fixed amount.
  • As the project scales, in-house teams often face challenges to meet demands.
  • Managing non core operations keep the team engaged in them, creating a vacuum for innovation and growth.

In essence, smart businesses have analyzed that agility is more crucial than control. That’s why they seek support for managing their back office operations from experienced specialists.

The best part – they deliver better quality at way lower cost. 

The rise of outsourced data entry services

An outsourcer expert can easily address some common pain points based on his/her experience. It happens, because these professionals manage vast amounts of business critical records without using your internal resources. Apart from this, some impressive things are also there that benefit the companies. 

Obviously, these are subject matter experts. They have hands-on experience in handling unstructured big data of any format. They understand the significance of it’s integrity and quality checks. Being highly professional, outsourcing companies use next level technologies, such as OCR (optical character recognition) for digitizing files, automation tools, and AI tools for validation. Such integration of smart technologies improves accuracy while speeding up deliveries without compromising quality.

No matter whether you need just 1000 email IDs of prospective clients or 1 million records, the experienced person can do it without any hassles. It prevents companies to hire or lay off internal staff. The delegated partner facilitates round-the-clock support, which helps in completing data entry tasks faster than any internal team.

Apart from it, most companies look for affordable alternatives, reducing overall operational costs. It also keeps the quality up to the mark at a predictable price. Or, the option of negotiation is also there.

Real world applications of handling unstructured data

Now that you have learned its benefits, let’s introduce you to some common scenarios where big data entry and management outsourcing make sense.

big data entry

  1. E-Commerce is typically connected with product data upload, accurate cataloging, and updating description regularly. An external support team manages it by deploying SKUs, updating pricing, and enriching product descriptions quickly without errors.
  2. Hospitals and clinics compose piles of patient records, insurance claims, and test results every day. Managing these can be effectively possible if those records are digitized, categorized, and stored securely.
  3. Constructors, building contractors, and property dealers manage data from property listings to client information. The accuracy of these records maximizes conversion. This is where an external specialist can emerge as a silver lining who can streamline documents, and listings.
  4. Market research requires huge data from survey forms, feedback, and reports from various authentic resources. The reputed external partner has access to these to tally, clean, and use for analysis.

Quality assurance parameters 

Maintaining error free data is a top concern for outsourcing companies. And they practice it religiously by implementing multiple level quality checks and regular reporting. Alongside, they maintain data security regulations like GDPR (General Data Protection Regulation), HIPAA (Health Insurance Portability and Accountability Act), and ISO (International Organization for Standardization) standards according to the industry of the client.

These points can make it an easy journey for you to claim quality.

  • Non-disclosure agreements (NDAs) stating not to share it in any condition with a third party
  • Data backups and disaster recovery plans to recover them in the event of vulnerability
  • Secure file transfer protocols to prevent hacking when the file is in transit

How to find an ideal company to handle unstructured data?

Though the market has multiple outsourcing partners, the need is to select the right  data entry partner. Emphasizing these points can simplify this task:

  • Discover industry or niche experience of the outsourced data entry service
  • Determine reputation and client testimonials
  • Explore if it provides fast turnaround time
  • Check out its quality assurance process
  • Find out what security measures it takes
  • Learn whether it provides pricing flexibility

Once satisfied and everything seems fine, start with a pilot project. It helps in testing the quality, turnaround, and communication mode before signing a contract or agreement.