{"id":12215,"date":"2020-02-05T11:56:45","date_gmt":"2020-02-05T11:56:45","guid":{"rendered":"https:\/\/projectsofar.info\/aisuperior\/?post_type=blog&#038;p=12215"},"modified":"2023-12-07T16:33:52","modified_gmt":"2023-12-07T16:33:52","slug":"why-you-should-outsource-your-data-science-tasks","status":"publish","type":"blog","link":"https:\/\/staging.aisuperior.com\/de\/blog\/why-you-should-outsource-your-data-science-tasks\/","title":{"rendered":"Why You Should Outsource Your Data Science Tasks"},"content":{"rendered":"<p>We\u2019re living in the age of Big Data where the amount of data we have is growing exponentially. It\u2019s estimated that around 90% of the data that currently exists was created in the last couple of years\u00a0<a href=\"https:\/\/www.mediapost.com\/publications\/article\/291358\/90-of-todays-data-created-in-two-years.html\" target=\"_blank\" rel=\"noreferrer noopener\">alone<\/a>. Additionally, by 2025, the collective sum of the world\u2019s data is expected to reach a whopping\u00a0<a href=\"https:\/\/www.networkworld.com\/article\/3325397\/idc-expect-175-zettabytes-of-data-worldwide-by-2025.html\" target=\"_blank\" rel=\"noreferrer noopener\">175\u00a0Zettabytes<\/a>!<\/p>\n<p>As data grows, so does our ability to gain actionable insights from it. Businesses around the world are now investing heavily in data science in an effort to unlock the insights in their data and push their business to the next level. This is also reflected in the Big Data analytics market, where the market is gaining $7 billion in value each year and is expected\u00a0<a href=\"https:\/\/techjury.net\/stats-about\/big-data-statistics\/#gref\" target=\"_blank\" rel=\"noreferrer noopener\">to bit $103 billion by 2023<\/a>. Let\u2019s take a look at what data science can do for your business and the pros and cons of outsourcing your data science tasks.<\/p>\n<h3 class=\"wp-block-heading\">What Data Science Can Do For Your Business<\/h3>\n<p>Customer Analytics: This is the process of collecting and analyzing customer data to gain valuable insights into customer behavior. This can help your business identify customer pain points, design robust marketing strategies, offer personalized recommendations to customers, and more.<\/p>\n<p>Optimizing Processes: data science can help you identify where inefficiencies exist in your workplace operation so that you can fix them. Data analytics has a varied set of use cases that can be implemented across all industries. You can identify where there is friction, time lost, or erroneous outputs within your business.<\/p>\n<p>Market competitiveness: Investing in unlocking your data and utilizing the latest machine learning and AI technology can put you ahead of your competitors. Advanced tools lead to advanced insights that you can then turn into actionable goals for your business. Advanced machine learning and data science tools can also help you identify problems you didn\u2019t know you had, or identify problems before they arise.<\/p>\n<p>Digitization: Data analytics and data science go hand-in-hand with digital transformation. As companies become increasingly digital, they enter the realm of data collection and analysis. Companies stand to gain a significant amount by digitizing in as many areas as possible and taking a data-driven approach to their business.<\/p>\n<h3 class=\"wp-block-heading\">The Pros and Cons of Outsourcing Your Data Science Tasks<\/h3>\n<h3>Access to Highly Skilled Data Scientists<\/h3>\n<p>The Harvard Business Review, a publication owned by Harvard University, dubbed Data Scientist as the\u00a0<a href=\"https:\/\/www.entrepreneur.com\/article\/327162\" target=\"_blank\" rel=\"noreferrer noopener\">\u201csexiest job of the 21st Century\u201d<\/a>. You\u2019d think with such a glowing review that there must be an abundance of data scientists out there. The reality is quite different. There\u2019s a huge shortage of data scientists but an increasingly high demand for them.<\/p>\n<p>This shortage of skilled data scientists is a cause for serious constraints in some industries as they struggle to fill these roles. Research conducted by IBM pegs the opening for data science jobs in 2020 to\u00a0<a href=\"https:\/\/data-flair.training\/blogs\/data-scientists-demand-predictions\/\" target=\"_blank\" rel=\"noreferrer noopener\">reach approximately 700,000 globally<\/a>. Put simply, everyone wants data scientists, but they are struggling to find them.<\/p>\n<p>By choosing to outsource your data science tasks, you get instant access to highly skilled data scientists with a<a href=\"https:\/\/staging.aisuperior.com\/expertise\/\" target=\"_blank\" rel=\"noreferrer noopener\">\u00a0wealth of industry experience<\/a>\u00a0that is ready to start working straight away.<\/p>\n<div class=\"icon-heading-post\">\n<h3>Scaling Your Data Science Operation<\/h3>\n<\/div>\n<p>When starting, it can be difficult to decide what level of data science your company should invest in. You may decide to focus your efforts on a few tasks initially. However, in the future, you may find there\u2019s a need for a heavier data science operation. By outsourcing your data science tasks, you can easily scale up your data science operation as the need for more data science scales up. If you handle all of your data science in the house, this can be a much more complex process that involves hiring new employees, training new employees in your business, and writing business plans.<\/p>\n<div class=\"icon-heading-post\">\n<h3>Flexibility<\/h3>\n<\/div>\n<p>Outsourcing your data science tasks gives you a high degree of flexibility when it comes to deciding which tasks to focus on. Your focus might shift over time as you realize the value in some data science tasks for your business, as well as areas that you think require less focus. With outsourcing, you can tailor your experience to suit your company, and allow you to try new ideas and Proof of Concepts (PoCs) without any further obligation.<\/p>\n<div class=\"icon-heading-post\">\n<h3>It\u2019s Often More Cost-Effective<\/h3>\n<\/div>\n<p>If you\u2019re unsure of exactly how your data science operation will look, outsourcing is the best option. You can pick and choose what data science tasks will provide the most benefit to your business and limit your spending in these areas. You can choose to scale up or scale down the level of data science tasks according to your budget. If you handle your data science in-house you may spend more money by hiring employees only to find there isn\u2019t enough work for them to do, or that your data science needs are different from what you initially envisioned.<\/p>\n<div class=\"icon-heading-post\">\n<h3>There are Times Where It\u2019s More Expensive<\/h3>\n<\/div>\n<p>Although outsourcing is more cost-effective the majority of the time, there are situations where it can be more expensive. This is usually when you want to run a large data science operation with a rigid set of goals and a tight timeline. If you have a clear plan for your data science operation, then it may be best to hire in-house staff where you can closely monitor their tasks and output.<\/p>\n<div class=\"icon-heading-post\">\n<h3>Communication and Workplace Culture<\/h3>\n<\/div>\n<p>Since outsourced staff is usually off-site, this can lead to a breakdown in communication at times. There are tools and techniques you can adopt to reduce the risk of this happening, but it\u2019s still a risk when you can\u2019t simply wander up to someone\u2019s desk. Additionally, if you have a unique workplace culture then you may find that the culture doesn\u2019t mesh well with the outsourcing team.<\/p>\n<h3 class=\"wp-block-heading\">What\u2019s Right For Your Business?<\/h3>\n<p>For the majority of businesses, outsourcing data science will be the right option. Outsourcing grants you a high degree of flexibility and scalability and frees you of the burden of finding the right employees in a highly competitive industry.<\/p>\n<p>If you need any support in implementing state-of-the-art AI technologies \u2013 jus\u00a0<a href=\"https:\/\/staging.aisuperior.com\/contact\/\">contact us<\/a>. We\u00a0will get in touch with you immediately.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>We\u2019re living in the age of Big Data where the amount of data we have is growing exponentially. It\u2019s estimated that around 90% of the data that currently exists was created in the last couple of years\u00a0alone. Additionally, by 2025, the collective sum of the world\u2019s data is expected to reach a whopping\u00a0175\u00a0Zettabytes! As data [&hellip;]<\/p>\n","protected":false},"featured_media":12216,"template":"","meta":{"inline_featured_image":false,"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-gradient":""}}},"categories":[8],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.9.1 - 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