The pros and cons of big data outsourcing

The pros and cons of big data outsourcing

The project was to create UI/UX for Social CRM Mobile & Web Applications and it was done exceptionally well. They came up with original ideas that we never thought was possible before. We map data patterns and use complex algorithms to provide protective data information. Provides innovative and customized Big Data Consulting Services for your business.

Data analytics outsourcing is a model under which a data-driven company assigns a service provider with its data and gets access to insightful reporting. The provider overlooks infrastructure setup and support, data management, and data analysis. Since the organizations find it time-consuming to manage data generated, the need to attain quick insights fuel the demand for data analytics outsourcing. The data analytics outsourcing market is competitive and comprises a number of regional and global vendors competing based on factors such as cost of solutions & services, reliability, efficiency of products, and support services.

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The time your big data project will last depends mostly on the factors mentioned below. Retail We have experience in delivering software solutions for world-leading retailers. Data migration services We offer 3 data migration approaches Big Bang, Classic, and Agile. If you think you should have access to this content, click to contact our support team. Revenues and Profits strive to provide the latest information from tech, business, and financial world.

big data outsourcing

While it can be a costly and risky venture, it can also result in increased efficiency, access to expertise, flexibility, and other benefits. Currently, there are a number of big data outsourcing providers who can help businesses manage their big data needs. However, before you decide to outsource big data, it’s important to understand the advantages and disadvantages of doing so. Explore digital workforce supported by technology including artificial intelligence, machine learning, and robotic process automation. Many organizations have also burned their fingers by embarking on big data programs that failed to ensure users have high-quality data and can easily discover data. Such data swamps can be avoided by thoughtful, architectural decisions upfront in the program.

Like data science, big data is going to get bigger and become much more important in the future. We leverage AI-Augmented & Automation driven process that will provide a great value for your money. Choose suitable engagement model – project based, resource-based– full-time, hourly based, outcome based. Build AI-enabled intelligence system providing a 360-degree real-time view of your business, operations, customers, and products. 6 reasons you may need data science as a service There are plenty of reasons to outsource all or part of a data science project to a service. In order to keep your customers and clients happy, your company must engage with them for any concerns that might arise from the usage of your product or service.

Our expertise in data communication, software engineering, math, statistics, and algorithms is one of the reasons you can rely on us in getting your software on time, spec, and budget. Reliable big data offshore software developers will consult you, design, develop, and test custom software with your business goals in mind. Artificial intelligence Talk to our AI specialists and business analysts to get a free project strategy and roadmap.

Big data outsourcing cons

And the shortage of the right talent has led to the growth of analytics solutions, as the acceptance is stemming from several industries BFSI, retail, to name a few. The FMCG manufacturers, for instance, are observed suffering from unstable sales performance lacking the capability to diagnostic analytics, to identify what triggers poor performance or make accurate sales forecasts. At such a moment, the manufacturer has required time and budget to grow an in-house data analytics team. The covid-19 outbreak has made big data analytics outsourcing more popular than ever before. Thus, optimizing operations and reducing costs became top priorities for most companies.

big data outsourcing

It’s been said that data is the new currency for businesses, and there’s certainly a lot of potential to leverage analytics for business gain. Differences between governance and security policies across data source systems create challenges for companies when it comes to auditing data in data lakes, Ring says. Helpful links to offshore outsourcing case studies, featured papers, company and industry information. Data warehouse and ETL Turning your data into valuable insights fast with unique data warehouse solutions. Fintech Expertise in blockchain, real-time payments, 360-degree customer analytics, and more.


In 1962, a mathematician named John W. Turkey forecasted that modern-day computers would substantially impact the way people use data analytics. Performing data analysis and interpretation based on trends and other findings. So that these elements work together cohesively, there should big data outsourcing be an expert to pilot the operation. Similar to how a plane converts fuel into mileage, data science turns big data into meaningful insights. It is a multidisciplinary field that involves the systematic use of methods and tools to collect, observe, test, and resolve a specific problem.

However, the other segment that comprises digital advertisement, anomaly detection, and safety enhancement is expected to witness the highest growth rate during the forecast period. I believe savvy executive guidance with the right skillset and appropriate authority must be in place. A common misstep is simply assigning outsource management to the individuals who previously handled the program in-house. This is a mistake because the outsourcing model is distinctly different from an in-house service model. We’ll help you develop a custom data analytics strategy that improves performance and gives you tangible results.

  • But our mission is always to help you maximize the long-term value of your offshore outsourcing initiative.
  • The global population of social media users spends 10 billion hours on social media platforms daily.
  • Big data analytics, in general, is used by more companies than you may think to find a competitive advantage and reduce costs.
  • Is the fastest and most cost-effective way to recruit the best data scientists and other professionals in the field.
  • A common misstep is simply assigning outsource management to the individuals who previously handled the program in-house.

Cons Losing control of data – One of the downsides of working with a partner that provides analytics-as-a-service is that organizations relinquish control of much of their data. This shift of power might raise concerns about the security of the data, if it is stored in the public cloud, for instance, or if the data is kept in the partner’s data center. This could raise concerns for meeting compliance rules and regulations such as General Data Protection Regulation which require safeguards around personally identifiable information. Also, because the partner is mining the data, the logic and algorithms they use to analyze the data belong to the partner, not the customer. While the customer owns the ‘answers,’ like predictive, prescriptive or descriptive analysis, they do not own the models used to come up with that analysis. This control gap can become an issue if the customer decides to end the relationship with the analytics service provider, for whatever reason.

Quality & Security Assurance

We offer Big Data development that allows organizations to take advantage of many opportunities, such as improved pricing, reduced operational costs, enhanced efficiency, increased sales and loyalty, and many more. Depending on your industry specifics, you can also leverage Big Data to make accurate forecasts based on reliable data, such as analyzing current conditions on the market and consumers’ behavior. As hard as IT outsourcing is, data science outsourcing is the toughest one. The science behind it is truly complex, and only the most experienced and versatile professionals can help you implement it correctly. Teaming up with a reliable IT partner will bring valuable insights and help you make the best business decisions. The pandemic did not mercy anyone, and only the most agile companies managed to stay afloat.

Furthermore, increased attention toward handling data from social media platforms and rapid scalability of outsourcing data analytics models is estimated to create a lucrative opportunity for the market. The current estimation of 2028 for the data analytics outsourcing market is projected to be higher than pre-COVID-19 estimates. The COVID-19 pandemic has bought a colossal positive impact on the global data analytics outsourcing market, wherein the data analytics outsourcing market is expected to grow post the COVID-19 pandemic. Outsourcing data analytics to expert service providers helps one enhance data processing accuracy, improve related workflows, and get better insights that aid informed decision-making. Besides, companies specialized in data analytics outsourcing use the latest tools & technologies and update them continually to ensure the best results for their clients.

big data outsourcing

To anticipate customers’ needs and wishes, you need to reach the right person at the right time with the right product. Especially for marketing activities, predictive analytics is the technique to make predictions and anticipate what the customer might need in the future. The novelty of the COVID pandemic forced data scientists to be creative and tweak the existing models to fit into the new reality. Without the knowledge of data science models, you are bound to drown in quantities of data. Big data is a term that is used to describe large and complex data sets that are difficult to process by using traditional data processing applications.

Big Data Offshore Software Developers

Without a certain level of scalability, companies will not meet the ever-growing demand for innovations. At a reasonable price, companies will gain access to numerous advanced and cutting-edge technologies they cannot otherwise afford. And without advanced data science and analytics professionals, you will always be behind.

Data Analytics Outsourcing Market Top Players

The scope of our work included the development of the tenant’s personal account, and online document flow automation between tenants, landlords, and the property management company. Due to the apparent shortage of seasoned data scientists, you are to expect extremely high competition when offering a position to a candidate. Winning them over will be pricey, and even if you succeed, the candidate could find another offer very soon and leave your organization. If your provider is based in another country, it could be subject to different laws and regulations than your business is.

Data Analytics Outsourcing Market Recent Developments

Defining metadata can also be ‘personal’ to a company because it includes creating consistent definitions around certain words like ‘customer,’ for example. Organizations need to zero in on metadata definitions very early on in any big data project, either working with an analytics provider or when the project is handled internally. Dhrumit Shukla has been working as Business Development Manager in a software development company named TatvaSoft since 5 years. India, which work in custom app development for years with various projects, from e-commerce websites to complex systems, including of course big data analytics. Learn why Ukraine is one of the most attractive countries for outsourcing data science services.

Discovery phase Talk to our business analysis team and start a project with a discovery phase. Mobile app development The widest range of custom-designed mobile apps and free consulting on project strategy. The majority of the previous research on BDA adoption intention is limited to large corporations. To address the gap on determinant factors of BDA adoption intention among SMEs, the drivers of BDA adoption intention and propensity to outsource were investigated using the technology-organisation-environment model. Fayrix team has been developing an e-learning trading platform for Revoleto startup company. The scope of work consisted of development of the website on WordPress with own Learning Management System, optimization of the bootstrap based pages.

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