Overcoming Internal Operational and Efficiency Challenges by Outsourcing Data Management

Businesses are often faced with internal challenges that they need to overcome to remain relevant and successful within their respective industry. Instead of trying to develop, initiate, and maintain data strategies and solutions within their internal infrastructure, an increasing number of businesses are choosing to outsource data management. It’s commonly understood that outsourcing can help businesses minimize internal expenses, maintain a reduced overhead, and better manage risks and employee turnover rates.

Yet, many companies might be unaware of how rapidly they can overcome internal operational and efficiency challenges by outsourcing data management.

The most profitable, successful, and competitive organizations have embraced and incorporated data strategies into their current (and future) business model. Businesses need to acquire the talented professionals necessary to utilize an effective data and analytics strategy because they need to be able to derive quality insights from their data to stay on top of this fast-paced and digitally evolving era.

Many businesses specialize in unique skill sets and knowledge bases, and instead of creating new systems internally, they choose to outsource and work with professionals who already have the experience, internal team, and knowledge base that they seek to acquire. Likewise, you may have a business which is extremely qualified in a particular area but you want to expand your knowledge base and expertise further by outsourcing and adding more qualified professionals to your resource pool.  Either way, outsourcing is a way for businesses to grow, expand, and maintain relevancy in this constantly evolving digital age.

Difference between Businesses with Effective Data Operations, and Those Without

Harvard Business Review recently stated that there are a digital divide and performance discrepancy across companies, separating the digitally transformed (“digital leaders”) businesses from those who aren’t implementing data strategies as effectively (“digital laggards”).

But what is involved in a fully operational, data-driven internal system? Business leaders have to develop a data specific plan, hire the credentialed personnel, train existing staff, purchase and implement the technology, choose a cloud platform, and integrate all of these processes across departments. However, the task is expensive, time-consuming, and difficult to actualize.

Outsourcing is the solution for businesses who want to become operationally successful and strengthen overall efficiency throughout their organization without having to take on all of the data management in-house.

Areas of a business that are improved when effective data solutions are implemented:

• Customer interaction and relationship management: digital leaders are 2.5 times more likely to deliver better customer experiences, and 2.6 times more likely to use analytics to reduce customer churn.
• Manufacturing, product, and service delivery: digital leaders are 1.5 times more likely to increase production, and 1.7 times more likely to more efficiently manage equipment issues.
• Product creation and delivery: Digital leaders are 2.3 times more likely to improve product designs based on data received from customers.
• Human capital management and employee productivity: digital leaders are 2.6 times more likely to assess employee productivity based on collected data.

Businesses do not have to allocate all areas of their data management strategy to an outsourcing agency; they can start small and begin with a few ventures, such as online and offline data entry, for example, and still enjoy significant results and business flexibility.

Specific Data and Analytics Challenges that Business Must Overcome

Given the gravity of failing to become digitally enabled in this level of global market competition, companies of all sizes should start to weigh their options with regards to their particular internal challenges. Of course, challenges are highly individualized per company, but there are also widely acknowledged data and analytics challenges that are common across industries, company sizes, and business model. Challenges can quickly transform into full-blown problems, impacting operations and efficiency to a staggering degree.

The following indicates data and analytics relevant challenges businesses strive to overcome:

• Implementing the right data tools that enable businesses to generate value
• Maintaining data privacy, and carefully addressing data sharing concerns
• Ensuring the integrity and quality of the data being used throughout an organization
• Hiring and maintaining a qualified staff with the necessary knowledge base and skill sets as part of a business’s core competencies
• Understanding and applying data towards business priorities

Organizations can rise above data and analytics obstacles by outsourcing to a professional, experienced agency that can provide assistance and help get you back on track. Data and analytics outsourcing companies can offer data entry services, data conversion services, research and survey services, marketing support, and any other number of pertinent services to alleviate data management burdens.

Advantages of outsourcing:

• Improve risk management and employee turnover rates
• Regain operational control
• Reduce overhead costs
• Realign core business values
• Increase data quality
• Gain insight from industry specialists
• Better incorporate data management throughout an entire internal architecture

Larger companies are not the only ones that should consider outsourcing as statistics prove that outsourcing can help small to medium sized businesses, even start-ups, improve their weak points and increase productivity. Smaller, less established businesses can outsource content marketing, bookkeeping, payroll, scheduling, and other administrative tasks affordable and still enjoy the same data management benefits that larger businesses appreciate.

Conclusion

Our world is becoming more digitally dependent and more data-reliant, so, businesses need to become more data savvy. Outsourcing is proven to increase operations and efficiency rates for companies in all the industries, in all maturity phases, and with any budgetary restraints. Relinquishing data management concerns to an outsourcing agency with qualified data scientist and analytic experts can substantially improve a company’s efficiency and operational levels. Ensure that your business is ready to excel in a global ecosystem of data and analytics by outsourcing data management and other data tasks today, and start becoming more data driven tomorrow.

– DataEntryOutsourced