{"id":3864,"date":"2022-03-31T08:21:48","date_gmt":"2022-03-31T08:21:48","guid":{"rendered":"https:\/\/news.sap.com\/india\/?p=3864"},"modified":"2023-08-14T17:11:36","modified_gmt":"2023-08-14T17:11:36","slug":"top-10-big-data-consumer-trends","status":"publish","type":"post","link":"https:\/\/news.sap.com\/india\/2022\/03\/top-10-big-data-consumer-trends\/","title":{"rendered":"Top 10 Big Data Consumer Trends for Businesses in 2022 and Beyond"},"content":{"rendered":"<p class=\"\" data-id=\"4\"><span class=\"\">The term big data was invented back in the 1990s, but it wasn&#8217;t until the turn of the millennium that it really picked up steam. This was when internet and technology companies took the world by storm through the uninhibited transaction of data. But how big is big data? To truly understand the staggering nature of big data, you need to get a bird\u2019s eye view of the amount of data generated by humans. Consider this estimate: We produce 1.145 trillion MB of data per day. In 2021, more than\u00a0<\/span><span class=\"\"><a class=\"\" href=\"https:\/\/techjury.net\/blog\/how-much-data-is-created-every-day\/#gref\">6,500 million<\/a><\/span><span class=\"\">\u00a0connected devices shared information over the Internet. In 2025, this figure is set to more than double to 20,000 million.<\/span><\/p>\n<p class=\"\" data-id=\"5\"><span class=\"\">Today, big data has become ubiquitous and has virtually reshaped business and operations across a host of industries such as technology, healthcare, ecommerce, law enforcement, medicine and diagnostics, agriculture, weather forecasts, streaming platforms, wearable devices, and so on. It is no longer about leveraging just data storage, cloud services, and communications. Instead, big data has opened vast opportunities for companies to leverage data, enhance customer service, streamline businesses, and rethink the interconnectedness of everything.<\/span><\/p>\n<p class=\"\" data-id=\"6\"><span class=\"\"><strong>The explosive growth of big data can be attributed to the numerous advantages it provides, such as enabling<\/strong>:<\/span><\/p>\n<ul class=\"\" type=\"disc\" data-id=\"7\">\n<li class=\"\"><span class=\"\">Better strategic decisions<\/span><\/li>\n<li class=\"\"><span class=\"\">Enhanced operational process control<\/span><\/li>\n<li class=\"\"><span class=\"\">Better understanding of consumers<\/span><\/li>\n<li class=\"\"><span class=\"\">Effective cost reduction<\/span><\/li>\n<li class=\"\"><span class=\"\">Increase in revenues\u00a0<\/span><\/li>\n<\/ul>\n<p class=\"\" data-id=\"8\"><span class=\"\">No wonder then the global big data and analytics market is expected to grow at a CAGR of 10% between 2022-2027 to reach\u00a0<\/span><span class=\"\"><a class=\"\" href=\"https:\/\/www.expertmarketresearch.com\/reports\/big-data-market#:~:text=The%20global%20big%20data%20market,USD%20450%20billion%20by%202026.\">USD 450 billion<\/a><\/span><span class=\"\">\u00a0by 2026. Considering this exponential pace of growth of big data, a CIO or CTO will want to keep ahead of these\u00a0<span class=\"cst1\">ten trends<\/span>\u00a0making waves in the field.<\/span><\/p>\n<p class=\"\" data-id=\"9\"><span class=\"\">\u200b<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-3865 size-full\" src=\"https:\/\/news.sap.com\/india\/files\/2022\/02\/25\/Deliverable_25336_1643961097469-Data_fact_1200x306.png\" alt=\"Big Data Consumer Trends\" width=\"1200\" height=\"306\" srcset=\"https:\/\/news.sap.com\/india\/files\/2022\/02\/25\/Deliverable_25336_1643961097469-Data_fact_1200x306.png 1200w, https:\/\/news.sap.com\/india\/files\/2022\/02\/25\/Deliverable_25336_1643961097469-Data_fact_1200x306-300x77.png 300w, https:\/\/news.sap.com\/india\/files\/2022\/02\/25\/Deliverable_25336_1643961097469-Data_fact_1200x306-1024x261.png 1024w, https:\/\/news.sap.com\/india\/files\/2022\/02\/25\/Deliverable_25336_1643961097469-Data_fact_1200x306-768x196.png 768w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/span><\/p>\n<h3 data-id=\"10\"><span class=\"\">1. Organizations will focus on adopting data fabric architectures<\/span><\/h3>\n<p class=\"\" data-id=\"11\"><span class=\"\">Digital channels are exploding\u2013be it for marketing, sales, customer support, or services. Adding to the complexity is the remote style of working. Enterprises now find themselves grappling with a plethora of applications, devices, and different kinds of data infrastructure (think data warehouse, data lakes). In simpler terms, the distributed enterprise lacks a centralized data infrastructure\u2013one that seamlessly weaves together all the data available and caters to the organization\u2019s data and analytics needs end-to-end.<\/span><\/p>\n<p class=\"\" data-id=\"12\"><span class=\"\">Enter data fabric architectures. This technology is gaining momentum as it can effectively integrate multiple data repositories across cloud and regional boundaries. Going forward, organizations will need to strategize ways to drive a singular enterprise-wide data and analytics management approach that empowers them and boosts delivery time.<\/span><\/p>\n<h3 data-id=\"13\"><span class=\"\">2. Decision intelligence will have a \u2018Big Moment\u2019<\/span><\/h3>\n<p class=\"\" data-id=\"14\"><span class=\"\">As more and more data-driven enterprises continue to digitize their business processes to gain a <a href=\"https:\/\/news.sap.com\/india\/2021\/12\/create-competitive-advantage\/\">competitive edge<\/a>, decision intelligence will come into focus. According to estimates by the\u00a0<\/span><span class=\"\"><a class=\"\" href=\"https:\/\/www.weforum.org\/agenda\/2019\/04\/how-much-data-is-generated-each-day-cf4bddf29f\/\">World Economic Forum<\/a><\/span><span class=\"\">, around 463 exabytes of data will be created each day globally by 2025. In absolute terms, this is equivalent to 212,765,957 DVDs a day.All the data generated is of no business value if it cannot be translated into actionable decisions and by extension, outcomes. This is where decision intelligence comes into the big picture.<\/span><\/p>\n<p class=\"\" data-id=\"15\"><span class=\"\">Since machines cannot understand the implications of decision outcomes, there\u2019s need for human intervention. Enterprises should drive greater collaboration between decision intelligence data scientists and business teams to extract maximum value. When used correctly, decision intelligence can serve as the \u2018bridge\u2019 between data and improved decision making. In fact, decision intelligence is going mainstream, with\u00a0<\/span><span class=\"\"><a class=\"\" href=\"https:\/\/www.gartner.com\/en\/newsroom\/press-releases\/2020-06-22-gartner-identifies-top-10-data-and-analytics-technolo\">Gartner<\/a><\/span><span class=\"\">\u00a0predicting that\u00a0<em class=\"\">\u201cby 2023, more than 33% of large organizations will have analysts practicing decision intelligence, including decision modeling.\u201d<\/em><\/span><\/p>\n<p class=\"\" data-id=\"16\"><strong class=\"\"><span class=\"\">Pro tip:\u00a0<\/span><\/strong><span class=\"\">Enterprises need to integrate decision intelligence into their data management strategy and the existing business intelligence stack to measure outcomes\u2013or else, they risk losing their competitive value.<\/span><\/p>\n<h3 data-id=\"17\"><span class=\"\">3. Enterprises will leverage both small and big data to cater to the customers<\/span><\/h3>\n<p class=\"\" data-id=\"18\"><span class=\"\">Not all data decisions will be focused solely on big data. There will be increasing emphasis on combining<em class=\"\">\u00a0both<\/em>\u00a0small data and big data to deliver near-term value and extract strategic benefits in the long-term. For instance, small data analytics can:<\/span><\/p>\n<ul class=\"\" type=\"disc\" data-id=\"19\">\n<li class=\"\"><span class=\"\">Empower organizations to deliver a hyper-personalized customer experience by using actionable, targeted data to cater to a specific issue or problem that customers might be facing.<\/span><\/li>\n<li class=\"\"><span class=\"\">Answer core strategic questions about the business and help understand the best big data applications to use to drive more advanced analytics.<\/span><\/li>\n<li class=\"\"><span class=\"\">Help drive data management excellence within an organization as the data becomes more manageable.<\/span><\/li>\n<\/ul>\n<p class=\"\" data-id=\"20\"><span class=\"\">Furthermore, it is predicted that by 2025,\u00a0<\/span><span class=\"\"><a class=\"\" href=\"https:\/\/solutionsreview.com\/data-management\/80-percent-of-your-data-will-be-unstructured-in-five-years\/\">80% of all data would be unstructured<\/a><\/span><span class=\"\">. With organizations increasingly using unstructured and structured data together, this trend will become a must-have feature for businesses.<\/span><\/p>\n<h3 data-id=\"21\"><span class=\"\">4. Humans and machines will work side-by-side<\/span><\/h3>\n<p class=\"\" data-id=\"22\"><span class=\"\">Technologies such as Artificial Intelligence and automation will augment the workforce across industries and sectors to create a digitally-resilient economy. In fact, research by the\u00a0<\/span><span class=\"\"><a class=\"\" href=\"https:\/\/www.weforum.org\/press\/2020\/10\/recession-and-automation-changes-our-future-of-work-but-there-are-jobs-coming-report-says-52c5162fce\/\">World Economic Forum<\/a><\/span><span class=\"\">\u00a0states that the robot revolution will create 97 million new jobs by 2025.<\/span><\/p>\n<p class=\"\" data-id=\"23\"><span class=\"\">While AI offers multiple business benefits such as improved learning algorithms, efficient data processing, predictive analytics for trend forecasting, and more, the role of human resources cannot be undermined. This means that while businesses may have to ramp up their investment to leverage responsible and \u2018smarter\u2019 AI, human talent will remain crucial to driving key tasks that machines are unable to perform (yet). These can include informed decision-making, crisis and scenario mapping, spotting anomalies from the data at hand, adapting to adversity, interpersonal skills, and creative thinking.<\/span><\/p>\n<h3 data-id=\"24\"><span class=\"\">5. Predictive analytics will Gain Traction<\/span><\/h3>\n<p class=\"\" data-id=\"25\"><span class=\"\">Data is quickly emerging as the world\u2019s most-valuable resource. That said, it is not enough for organizations to amass gigantic proportions of data. They need to be able to transform the data into actionable insights extracted through powerful analytical tools. This is where predictive analysis comes into play.<\/span><\/p>\n<p class=\"\" data-id=\"26\"><strong><span class=\"\">Think of predictive analysis at the juncture of big data and business intelligence, allowing organizations to:<\/span><\/strong><\/p>\n<ul class=\"\" type=\"disc\" data-id=\"27\">\n<li class=\"\"><span class=\"\">Predict future trends with respect to the market, customers, cloud applications, product performance, among others,<\/span><\/li>\n<li class=\"\"><span class=\"\">Leverage AI\/ML algorithms to improve data-based decisions and business outcomes,<\/span><\/li>\n<li class=\"\"><span class=\"\">Conduct predictive marketing and data mining to target customers in a smarter way,<\/span><\/li>\n<li class=\"\"><span class=\"\">Eliminate bottlenecks and issues with respect to operational efficiency, and<\/span><\/li>\n<li class=\"\"><span class=\"\">Optimize their internal processes and positively impact the bottom line.<\/span><\/li>\n<\/ul>\n<p class=\"\" data-id=\"28\"><span class=\"\">Such is the popularity of predictive analysis that the global\u00a0<\/span><span class=\"\"><a class=\"\" href=\"https:\/\/reports.valuates.com\/market-reports\/ALLI-Manu-1V25\/predictive-analytics-industry\">Predictive Analytics market<\/a><\/span><span class=\"\">\u00a0size is projected to reach USD 35.45 billion by 2027.<\/span><\/p>\n<h3 data-id=\"29\"><span class=\"\">6. Data and Analytics (D&amp;A) will form an integral part of business goals<\/span><\/h3>\n<p class=\"\" data-id=\"30\"><span class=\"\">With more and more businesses realizing the powerful value of data, D&amp;A will emerge as a core business function as opposed to a secondary goal, which has long been the case.<\/span><\/p>\n<p class=\"\" data-id=\"31\"><span class=\"\">This makes business sense as research indicates that companies only end up analyzing\u00a0<\/span><span class=\"\"><a class=\"\" href=\"https:\/\/www.forrester.com\/press-newsroom\/the-forrester-wave-big-data-hadoop-solutions-q1-2014\/\">12% of the data<\/a><\/span><span class=\"\">\u00a0they have\u2013the other 88% of data goes unanalyzed. In addition, only\u00a0<\/span><span class=\"\"><a class=\"\" href=\"https:\/\/c6abb8db-514c-4f5b-b5a1-fc710f1e464e.filesusr.com\/ugd\/e5361a_76709448ddc6490981f0cbea42d51508.pdf\">24.4% of companies<\/a><\/span><span class=\"\">\u00a0claim to have forged a data-driven culture, making D&amp;A a top priority among businesses. This becomes even more important when we consider that with big data, organizations can:<\/span><\/p>\n<ul class=\"\" type=\"disc\" data-id=\"32\">\n<li class=\"\"><span class=\"\">Use data-driven strategies to innovate their offerings<\/span><\/li>\n<li class=\"\"><span class=\"\">Predict outcomes more accurately<\/span><\/li>\n<li class=\"\"><span class=\"\">Understand how the product is used in the real world and gauge what consumer intent and preference looks like<\/span><\/li>\n<li class=\"\"><span class=\"\">Leverage a \u2018shared\u2019 business asset and drive better collaboration between teams<\/span><\/li>\n<li class=\"\"><span class=\"\">Create more opportunities for growth and revenues<\/span><\/li>\n<\/ul>\n<h3 data-id=\"33\"><span class=\"\">7. Real-time data and leveraging Data-as-a-Service (DaaS) will go mainstream<\/span><\/h3>\n<p class=\"\" data-id=\"34\"><span class=\"\">DaaS has been around for quite a while but growing amounts of data volume from sources such as social media, mobile applications, and the Internet is causing a boom in Data-as-a-Service (DaaS). According to research, this market is expected to grow by\u00a0<\/span><span class=\"\"><a class=\"\" href=\"https:\/\/www.prnewswire.com\/news-releases\/data-as-a-service-market-2021-2025-dominant-market-participants-including-accenture-plc-microsoft-corp-and-oracle-corp-contribute-20-82-bn-growth--technavio-301353516.html\">USD 29.82 billion<\/a><\/span><span class=\"\">\u00a0during 2021-2025, at a CAGR of 38.87%.\u00a0<\/span><\/p>\n<p class=\"\" data-id=\"35\"><span class=\"\">DaaS e<\/span><span class=\"\">nables organizations to\u00a0<\/span><span class=\"\">save on costs, transform unstructured and semi-structured data into structured and meaningful data,<\/span><span class=\"\">\u00a0and<\/span><span class=\"\">\u00a0drive agile and secure business performance.<\/span><span class=\"\">\u00a0<\/span><span class=\"\">So how does big data fit into the big picture? DaaS when used in combination with big data plays a vital role in empowering enterprises to:<\/span><\/p>\n<ul class=\"\" type=\"disc\" data-id=\"36\">\n<li class=\"\"><span class=\"\">Gather large volumes of complex data and conduct data analysis,<\/span><\/li>\n<li class=\"\"><span class=\"\">Revisit historical data and draw actionable conclusions,<\/span><\/li>\n<li class=\"\"><span class=\"\">Process large quantities of data from multiple sources.<\/span><\/li>\n<\/ul>\n<p class=\"\" data-id=\"37\"><span class=\"\">These naturally extend a multitude of business advantages such as simplified access to data by the customer, anytime and anywhere, and unparalleled cost-effectiveness when storing data in a secure, centralized location. With the increasing adoption of big data\u2013predicted to grow up to\u00a0<\/span><span class=\"\"><a class=\"\" href=\"https:\/\/www.statista.com\/statistics\/254266\/global-big-data-market-forecast\/\">USD 103 billion<\/a><\/span><span class=\"\">\u00a0by 2027\u2013across diverse industries and verticals, DaaS will emerge as a complementary fit to advance business goals.<\/span><\/p>\n<h3 data-id=\"38\"><span class=\"\">8. Composable data and analytics will drive data agility<\/span><\/h3>\n<p class=\"\" data-id=\"39\"><span class=\"\">Accelerated digital transformation is encouraging enterprises to deploy AI and big data applications on the cloud. One area that is steadily gaining traction is composable data and analytics. There are numerous benefits to using composable data, including:<\/span><\/p>\n<ul class=\"\" type=\"disc\" data-id=\"40\">\n<li class=\"\"><span class=\"\">The ability to store and distribute varied resources to remote machines\/devices,<\/span><\/li>\n<li class=\"\"><span class=\"\">The ability to quickly build flexible, effective, and user-friendly intelligent applications,<\/span><\/li>\n<li class=\"\"><span class=\"\">The ability to transform insights into actions,<\/span><\/li>\n<li class=\"\"><span class=\"\">The ability to upgrade processes swiftly, and<\/span><\/li>\n<li class=\"\"><span class=\"\">The ability to leverage organized IT infrastructures that are scalable, robust, and come with high potential for automation.<\/span><\/li>\n<\/ul>\n<p class=\"\" data-id=\"41\"><span class=\"\">All in all, with composable data and analytics, enterprises will be able to build analytics applications for emerging cloud marketplaces, and with the in-demand capabilities of low-code, and possibly no-code, functionalities.<\/span><\/p>\n<h3 data-id=\"42\"><span class=\"\">9. XOps will enable enterprises to operationalize business value at scale<\/span><\/h3>\n<p class=\"\" data-id=\"43\"><span class=\"\">XOp can be broken down into two parts: \u2018X\u2019 can signify data, business intelligence (BI), infrastructure, or machine learning (ML) models, whereas \u2018Ops\u2019 refers to automation via code.<\/span><\/p>\n<p class=\"\" data-id=\"44\"><span class=\"\">Whether businesses use DataOps, MLOps, DevOps, ModelOps, or PlatformOps, the XOps landscape is continuously expanding. What is the primary reason for this growth? Typically, it has been seen that most AI-driven and analytics projects go south as the issue of operationalization is not addressed at the right time. This is where XOps is emerging as a key automation strategy and empowering organizations to drive business value at scale, while leveraging the following 360-degree advantages:<\/span><\/p>\n<ul class=\"\" type=\"disc\" data-id=\"45\">\n<li class=\"\"><span class=\"\">Enjoy productivity and economies of scale using DevOps best-practices.<\/span><\/li>\n<li class=\"\"><span class=\"\">Ensure reliability, reusability, integrity and integrative ability of analytics and AI assets,<\/span><\/li>\n<li class=\"\"><span class=\"\">Reduce duplication of technology and processes, and<\/span><\/li>\n<li class=\"\"><span class=\"\">Enable automation at scale.<\/span><\/li>\n<\/ul>\n<p class=\"\" data-id=\"46\"><span class=\"\">The big difference also lies in the fact that these components are now relatively more interconnected (as opposed to operating as silos which was previously the norm) to drive innovation and agility in equal measure. Even in 2022, XOps will continue to drive business value and gather a bigger fan-following.<\/span><\/p>\n<h3 data-id=\"47\"><span class=\"\">10. Augmented Analytics (AA) will become important for businesses<\/span><\/h3>\n<p class=\"\" data-id=\"48\"><span class=\"\">As AI becomes well-versed with enterprise information management, augmented analytics will gain importance. A report by\u00a0<\/span><span class=\"\"><a class=\"\" href=\"https:\/\/tdwi.org\/articles\/2018\/12\/21\/adv-all-executive-summary-bpr-bi-analytics-age-of-ai-and-big-data.aspx\">TDWI<\/a><\/span><span class=\"\">\u00a0claims that\u00a0<em class=\"\">\u201cOrganizations are highly interested in capitalizing on innovations in AI, big data, and cloud-based services. Almost three quarters (74%) of organizations hope to invest in the newest technologies in order to improve operational efficiency.\u201d<\/em><\/span><\/p>\n<p class=\"\" data-id=\"49\"><span class=\"\">In other words, AI-enabled BI will pervade all areas of business operations and empower decision-makers to truly focus on what actually matters. The top-four advantages of augmented data management in the context of BI include:<\/span><\/p>\n<ul class=\"\" type=\"disc\" data-id=\"50\">\n<li class=\"\"><strong class=\"\"><span class=\"\">Greater accuracy<\/span><\/strong><span class=\"\">: The use of machine learning lowers the chances of statistical mistakes that may occur when manipulating large volumes of multiple datasets.<\/span><\/li>\n<li class=\"\"><strong class=\"\"><span class=\"\">Improved speed<\/span><\/strong><span class=\"\">: AA can boost the speed of processing data by allowing the request processing to begin immediately once the request is submitted at machine speed.<\/span><\/li>\n<li class=\"\"><strong class=\"\"><span class=\"\">Reduced bias<\/span><\/strong><span class=\"\">: As opposed to data scientists who may overlook certain processes and insights due to unintentional bias, AI can work through data more thoroughly and efficiently, without bias getting in the way.<\/span><\/li>\n<li class=\"\"><strong class=\"\"><span class=\"\">Increased resources<\/span><\/strong><span class=\"\">: Augmented analytics can increase the value of the IT staff and the data scientists as they focus more on high-value tasks and create deeper, more meaningful insights.<\/span><\/li>\n<\/ul>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-3866 size-full\" src=\"https:\/\/news.sap.com\/india\/files\/2022\/02\/25\/Deliverable_25336_1643961122217-Top_10_Trends_1200x781.png\" alt=\"Big Data Consumer Trends for Businesses\" width=\"1200\" height=\"781\" srcset=\"https:\/\/news.sap.com\/india\/files\/2022\/02\/25\/Deliverable_25336_1643961122217-Top_10_Trends_1200x781.png 1200w, https:\/\/news.sap.com\/india\/files\/2022\/02\/25\/Deliverable_25336_1643961122217-Top_10_Trends_1200x781-300x195.png 300w, https:\/\/news.sap.com\/india\/files\/2022\/02\/25\/Deliverable_25336_1643961122217-Top_10_Trends_1200x781-1024x666.png 1024w, https:\/\/news.sap.com\/india\/files\/2022\/02\/25\/Deliverable_25336_1643961122217-Top_10_Trends_1200x781-768x500.png 768w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/p>\n<p class=\"\" data-id=\"53\"><strong class=\"\"><span class=\"\">The Way Forward<\/span><\/strong><\/p>\n<p class=\"\" data-id=\"54\"><span class=\"\">As we grapple with the implications of living and working in a post-pandemic world, data dependency will define how businesses leverage and drive growth in the future. Enterprises are realigning their business goals to become digital- and data-first. There\u2019s greater focus on how to be more mindful about integrating and managing enterprise data to make it easily accessible, trusted, and governed. Big data holds great promise for 2022 and beyond. Enterprises looking to combine human intervention and data analytics and achieve value-driven business outcomes\u00a0<\/span><span class=\"\">can explore hi-tech tools such as\u00a0<a class=\"\" href=\"https:\/\/nttdata-solutions.com\/us\/products\/sap-customer-data-cloud\/\">麻豆原创 Customer Data Cloud<\/a>\u00a0and\u00a0<a class=\"\" href=\"https:\/\/www.sap.com\/india\/products\/data-warehouse-cloud.html?source=contentsynd-in-麻豆原创News\">麻豆原创 Data Warehouse Cloud<\/a>.<\/span><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Decision intelligence, predictive analytics and data fabric architectures, are the top big data trends set to disrupt the way businesses thrive.<\/p>\n","protected":false},"author":3480,"featured_media":4063,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[7737],"tags":[5619027,5617057,5618887],"sapn-display":[5619873,5619871,3807326,60294],"sapn-type":[5616887],"class_list":["post-3864","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-solutions","tag-data-analytics","tag-data-driven-decisions","tag-sap-customer-data-cloud","sapn-display-feature-hero","sapn-display-feature-spotlight","sapn-display-homepage-hero","sapn-display-topic-hero","sapn-type-feature"],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v26.9 (Yoast SEO v26.9) - https:\/\/yoast.com\/product\/yoast-seo-premium-wordpress\/ -->\n<title>Top 10 Big Data Consumer Trends for Businesses in 2022<\/title>\n<meta name=\"description\" content=\"Decision intelligence, 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