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Snowflake\u003C/li\u003E\r\n\u003Cli data-anchor=\"resources\"\u003EAnalytics Resources\u003C/li\u003E\r\n\u003C/ul\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-size-regular text-color-text-05"},"experiencefragment":{"id":"experiencefragment-63d6d99923","localizedFragmentVariationPath":"/content/experience-fragments/snowflake-site/language-masters/en/site/share-icons/share-icons-no-title/jcr:content","configured":true,"classNames":"aem-xf",":type":"snowflake-site/components/experiencefragment",":items":{"root":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"container_949147658":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"container-8deadd38d7",":type":"snowflake-site/components/container",":items":{"container_949147658":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2_copy":"aem-GridColumn 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targetClassesArr = [...e.target.classList];\r\nconsole.log(targetClassesArr);\r\nif (targetClassesArr.includes('share-icon--linkedin')) {\r\nconst shareURL = `https://www.linkedin.com/sharing/share-offsite/?url=${pageURL}`;\r\nwindow.open(shareURL, '_blank');\r\n}\r\nif (targetClassesArr.includes('share-icon--facebook')) {\r\nconst shareURL = `http://www.facebook.com/sharer/sharer.php?u=${pageURL}`;\r\nwindow.open(shareURL, '_blank');\r\n}\r\nif (targetClassesArr.includes('share-icon--twitter')) {\r\nconst shareURL = `https://twitter.com/intent/tweet?url=${pageURL}`;\r\nwindow.open(shareURL, '_blank');\r\n}\r\nif (targetClassesArr.includes('share-icon--email')) {\r\nconst shareURL = `mailto:?subject=Check out this news from Snowflake&body=${pageURL}`;\r\nwindow.open(shareURL);\r\n}\r\n\r\n\r\n\r\n\r\n\r\n});","isGSAPEnabled":false,":type":"snowflake-site/components/markup-editor"}},":itemsOrder":["markup_editor"]}},":itemsOrder":["container_949147658"]},"cq:LiveSyncConfig":{"cq:isDeep":true,"cq:rolloutConfigs":[],"cq:master":"/content/experience-fragments/snowflake-site/language-masters/en/site/share-icons/share-icons",":type":"cq:LiveCopy"}},":itemsOrder":["root","cq:LiveSyncConfig"],"appliedCssClassNames":"snowflake-responsive-component-top-padding-extra-small"}},":itemsOrder":["text","experiencefragment"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"fundamentals-main-content",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-large",":items":{"container_copy":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"overview",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-63db5be5f3","additionalClasses":"headline-decoration","type":"heading2","lines":["Overview"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-aba598eaa8","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EIt’s not enough to rely solely on real-time data to inform decision-making. Organizations need to understand the intricacies of their business and use today’s insights to plan for tomorrow. Organizations need to look at past performance to anticipate future outcomes. That’s where predictive analytics comes in.\u003C/p\u003E\r\n\u003Cp\u003EPredictive analytics is a subset of data analytics. It is focused on \u003Ca href=\"https://www.snowflake.com/en/customers/all-customers/case-study/igs-energy/\"\u003Eforecasting\u003C/a\u003E, mitigating risk for organizations and informing personalized customer journeys and is a key component of overall strategic planning for businesses. \u003C/p\u003E\r\n\u003Cp\u003EIn this article, we dive into the intricacies of predictive analytics, how predictive analytics works and how effective use of predictive analytics can positively impact organizations, across business functions and across industries.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05"}},":itemsOrder":["title_v2","text"]},"container_copy_copy_":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"container":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__480869401":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__373061683":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__1444615495":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__222865509":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__1413360324":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy_":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__455068363":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__659376865":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__1500909857":"aem-GridColumn aem-GridColumn--default--12","container_copy_copy__1978652079":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"rel",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"container_copy_copy":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"what",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-098f989d32","additionalClasses":"headline-decoration","type":"heading2","lines":["What Is Predictive Analytics?"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-a1f3e8eb40","text":"\u003Cp\u003EPredictive analytics uses historical data to develop probable potential scenarios, anticipate future trends and make truly informed strategic decisions. It helps organizations have a better-informed view into estimated future outcomes. \u003C/p\u003E\r\n\u003Cp\u003EPredictive analytics is one element in the larger data analytics bucket, which is made up of three other parts: descriptive, diagnostic and prescriptive analytics. Predictive analytics focuses on what may happen in the future. Whereas descriptive analytics focuses on what actually happened, diagnostic analytics focuses on why something happened and prescriptive analytics focuses on what should be done next. \u003C/p\u003E\r\n\u003Cp\u003EUsing historical data, predictive analytics relies on both manual processes and \u003Ca href=\"https://www.snowflake.com/en/product/ai/\"\u003EAI and machine learning tools\u003C/a\u003E to develop future assumptions. Its core principles include multiple statistical tools, such as machine learning, predictive modeling and data mining.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy_":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"a",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-74417ec6f4","additionalClasses":"headline-decoration","type":"heading2","lines":["How Does Predictive Analytics Work?"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-d9adb2abbb","text":"\u003Cp\u003EPredictive analytics gives organizations a better-informed analysis of what will happen next. It functions to transform historical data on an \u003Ca href=\"https://www.snowflake.com/en/solutions/departments/finance/\"\u003Eorganization’s financials\u003C/a\u003E, customer behavior and more into forward-looking projections.\u003C/p\u003E\r\n\u003Cp\u003EThe key components needed when getting started with predictive analytics modeling are: First, define the problem you are looking to solve; next, gather the relevant data associated with that problem; and then organize that data in a meaningful and informative way. Then organizations can take on developing predictive models to create informed insights on what will likely happen next. \u003C/p\u003E\r\n\u003Cp\u003EIn the process, data scientists use models to determine correlations between the multiple data points within a data set. Using AI, ML, data mining and statistics, they look for patterns that have occurred in the past and the likelihood that those same events will occur again in the future. They draw conclusions on the variables most likely to affect business outcomes and generate the most likely predictions from there.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy__1444615495":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"use",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-3c3efcadb5","additionalClasses":"headline-decoration","type":"heading2","lines":["Types of Predictive Analytics Models"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-9939ee287d","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EThere are five primary types of models or methods included within predictive analytics. They are classification models, clustering models, time series models, regression models and ensemble methods. Below we dive deeper into each. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003EClassification models\u003C/h4\u003E\r\n\u003Cp\u003EThese models categorize data based on historical information and function to describe relationships within a data set. Using machine learning, a classification model learns the relationship between data and its given labels so can classify new data as it is added. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003EClustering models\u003C/h4\u003E\r\n\u003Cp\u003EThese models group data points based on similar characteristics. Using a data matrix, they connect similar data points and find patterns that may not have been obvious in other modeling techniques. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003ETime series models\u003C/h4\u003E\r\n\u003Cp\u003EThese models use data points that are captured over a period of time, whether that be daily, weekly, monthly or annually. This type of modeling is the most commonly used form of predictive analytics. It assesses seasonal changes, cyclical customer behaviors and trends over time. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003ERegression models\u003C/h4\u003E\r\n\u003Cp\u003EThese models function to decipher the relationship between two variables over a period of time. They can look at customer data and predict how much revenue that customer will bring in over their lifecycle. These models show how specific actions can impact overall business outcomes. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003EEnsemble methods \u003C/h4\u003E\r\n\u003Cp\u003EEnsemble methods work to bring all these models together to create a more holistic and informative set of insights. These help to make sense of complexity and provide more unified information for business leaders’ decision-making. \u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy__1978652079":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"benefits",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-b9f9207df5","additionalClasses":"headline-decoration","type":"heading2","lines":["Why Should You Use Predictive Analytics?"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-2c893ca3c1","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EUsing predictive analytics can help inform organizations on the health of their business and give them relevant information to move forward. Organizations can review data patterns to forecast future performance, which can help them make better decisions. \u003C/p\u003E\r\n\u003Cp\u003EWith predictive analytics, organizations can also improve their customer journeys by developing personalized pathways that better cater to the needs of their customers. Predictive analytics can also detect anomalies, such as patterns of fraud, and remedy them before they get out of hand. \u003C/p\u003E\r\n\u003Cp\u003EOverall, organizations can improve their operational efficiencies. Predictive analytics take some of the guesswork out of which campaign types or program types to launch, based on past performance.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy__455068363":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"how",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-99fd0a0bf2","additionalClasses":"headline-decoration","type":"heading2","lines":["Predictive Analytics Techniques"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-c008cb0f49","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EThere are a handful of commonly used techniques in predictive analytics. Below we break them down.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003ERegression analysis\u003C/h4\u003E\r\n\u003Cp\u003EThis form of analysis focuses on predicting the relationship between variables. In data sets, it is used to find patterns and find correlations between data points. By creating a given formula in a data set, you can track correlation. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003EDecision trees\u003C/h4\u003E\r\n\u003Cp\u003EThis technique helps map a series of decisions made by putting data into various categories based on variables. It can be used to indicate the various outcomes that could occur if different choices are made. Since these models are easy to review and understand, they can help expedite decision-making. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003ENeural networks\u003C/h4\u003E\r\n\u003Cp\u003EThis technique was created to identify non-linear relationships within data sets. Using AI and pattern recognition tools, it mimics how the human mind works, associating seemingly disconnected data points. It can analyze multiple forms of data, including text, image, audio and more. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003ETime series forecasting\u003C/h4\u003E\r\n\u003Cp\u003ETime series forecasting is a vital technique because organizations often look at data points over a period of time. This type of forecasting focuses on daily, weekly or monthly iterations of data. By focusing on behavioral trends over time, they can predict outcomes. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003EClustering algorithms\u003C/h4\u003E\r\n\u003Cp\u003EClustering connects similar data points. Via clustering, organizations can use data, such as a past purchase, to predict which product they're likely to purchase next.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy__222865509":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"ai",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-1abe8de3db","additionalClasses":"headline-decoration","type":"heading2","lines":["Use Cases for Predictive Analytics"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-651cfc4e6d","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EAcross industries and various arms of businesses, predictive analytics can be an asset. Below we break down some common use cases in prominent industries. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003EFinance\u003C/h4\u003E\r\n\u003Cp\u003ELooking at a customer’s credit history, a \u003Ca href=\"https://www.snowflake.com/en/solutions/industries/financial-services/\"\u003Efinancial organization\u003C/a\u003E may be better able to predict the likelihood of a customer repaying a loan. Predictive analytics can also help \u003Ca href=\"https://www.snowflake.com/en/solutions/industries/financial-services/fraud-detection-and-financial-crimes/\"\u003Emitigate fraud\u003C/a\u003E. Financial institutions can look for irregularities in transactions, flag concerns in real time and put guardrails in place.\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003EHealthcare \u003C/h4\u003E\r\n\u003Cp\u003EPredictive analytics can have significant impacts for patients. \u003Ca href=\"https://www.snowflake.com/en/solutions/industries/healthcare-and-life-sciences/\"\u003EHealthcare organizations\u003C/a\u003E can use analytics to \u003Ca href=\"https://www.snowflake.com/en/solutions/industries/healthcare-and-life-sciences/care-delivery/\"\u003Emanage care for patients\u003C/a\u003E by tracking data points that signal the start of a more serious problem, such as sepsis in patients who are in long-term hospital care. Organizations can also review patient health records and provide preventive treatment, including recommending that patients improve their diet, given a family history of developing diabetes. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003EMarketing\u003C/h4\u003E\r\n\u003Cp\u003EPredictive analytics can more accurately \u003Ca href=\"https://www.snowflake.com/en/fundamentals/predictive-analytics-marketing/\"\u003Eassess the success of future marketing campaigns\u003C/a\u003E. \u003Ca href=\"https://www.snowflake.com/en/solutions/departments/marketing/\"\u003EMarketers\u003C/a\u003E can use historical data to determine which types of campaigns their target audiences engage with and adjust strategies as needed. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003ESupply chain \u003C/h4\u003E\r\n\u003Cp\u003EPredictive analytics can help \u003Ca href=\"https://www.snowflake.com/en/solutions/industries/manufacturing/\"\u003Emanufacturers\u003C/a\u003E better manage and distribute their inventory. Using historical data, suppliers can anticipate which customers will need which supplies and when, and they can better manage their own inventory. They can also proactively suggest re-orders to their customers based on the historical data on customer needs and demands.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy__1413360324":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2_copy":"aem-GridColumn aem-GridColumn--default--12","text_copy":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"tools",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2_copy":{"id":"title-v2-bc3d152247","additionalClasses":"headline-decoration","type":"heading2","lines":["Benefits of Predictive Analytics for Business Success"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text_copy":{"id":"text-5228f3f03c","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EBusinesses can realize many benefits from implementing predictive analytics. Key advantages include:\u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E1. Improved forecasting and planning\u003C/h4\u003E\r\n\u003Cp\u003ETo stay competitive, organizations must be forward-thinking by predicting outcomes, taking advantage of opportunities and protecting themselves from potential losses. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E2. Enhanced customer targeting and retention\u003C/h4\u003E\r\n\u003Cp\u003EUsing predictive analytics, business leaders can determine customer behaviors. By analyzing their customer bases and applying predictive analytics to customer personas, organizations can tailor marketing campaigns toward specific audiences and have greater insights into the higher likelihood of engagement. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E3. Reduced operational risk\u003C/h4\u003E\r\n\u003Cp\u003EOrganizations can better detect fraud and financial risk by using predictive analytics. Companies can flag questionable or abnormal purchases earlier if the nature of the purchase falls outside of typical scope. Additionally, organizations can more easily review data points like credit scores and insurance claims to predict the likelihood of a customer defaulting on a payment. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E4. Increased ROI and efficiency\u003C/h4\u003E\r\n\u003Cp\u003EOverall, predictive analytics can improve an organization's efficiency and increase its return on investment. Predictive analytics helps companies forecast their inventory and better manage their internal resources. They also help organizations predict the performance of a product in development by looking at data on the needs and wants of their customers. Organizations can get ahead of production delays too by monitoring routine equipment maintenance. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E5. Better decision-making with data-driven insights \u003C/h4\u003E\r\n\u003Cp\u003EUsing predictive analytics, organizations have more information to make better decisions. Organizations can be proactive by looking at historical trends to support future decision-making. This can include decisions on how much inventory to have in stock of a certain product, which types of marketing campaigns to develop and what ways to improve productivity in their operations.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2_copy","text_copy"]},"container":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"text_copy_copy":"aem-GridColumn aem-GridColumn--default--12","title_v2_copy_copy":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"starting",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-small",":items":{"title_v2_copy_copy":{"id":"title-v2-8db2bb6985","additionalClasses":"headline-decoration","type":"heading2","lines":["How to Get Started with Predictive Analytics"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text_copy_copy":{"id":"text-2bd4b226cc","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EIt can be overwhelming to introduce predictive analytics as an essential part of your business. Below we break down the key steps for getting started. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E1. Identify a clear business problem\u003C/h4\u003E\r\n\u003Cp\u003EFirst, identify your objective clearly when starting to work with predictive analytics. What question do you want to answer? What are the biggest priorities in your business? Create a list of questions to help you get to the root of your problem. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E2. Build a cross-functional team \u003C/h4\u003E\r\n\u003Cp\u003EEnsure alignment across the team. Have channels of communication, regular syncs and action plans with the business functions that can benefit — and act on the predictions. Without opportunity for action, insights are worthless. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E3. Choose accessible data and tools\u003C/h4\u003E\r\n\u003Cp\u003EYou need effective technologies to store and analyze data. Having tools that are accessible to employees across business functions and leadership levels is helpful for transparency and quick reporting. Having tools that non-technical employees can use and ask compelling questions can lead to stronger predictive analytics insights by eliminating the friction of having to run inquiries through a data science team. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E4. Start with a small pilot project\u003C/h4\u003E\r\n\u003Cp\u003EBeginning your efforts with a small, digestible pilot project will help on your journey to implementing larger predictive analytics projects. Starting with a small problem that requires a smaller data set is a great way to show the baseline business impact of predictive analytics. \u003Cbr\u003E\r\n \u003C/p\u003E\r\n\u003Ch4\u003E5. Measure ROI and scale gradually \u003C/h4\u003E\r\n\u003Cp\u003EStart with well-defined, measurable projects and calculate the return on the investment before scaling the project or starting additional projects for other business functions. As you build, connecting predictive analysis across multiple functions can help to automate broader workflows and increase the bottom-line benefits of the analytics initiative. \u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2_copy_copy","text_copy_copy"]},"container_copy_copy__659376865":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","text":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"conclusion",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-d209296ffa","additionalClasses":"headline-decoration","type":"heading2","lines":["Conclusion"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"text":{"id":"text-042204116e","additionalClasses":"list--blue-bullets","text":"\u003Cp\u003EPredictive analytics is essential to any organization looking to make informed decisions based on historical data. By looking back at patterns associated with past performance, organizations can alter their strategies to make better-informed decisions and hopefully achieve better outcomes.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text","appliedCssClassNames":"text-color-text-05 snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","text"]},"container_copy_copy__1500909857":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"title_v2":"aem-GridColumn aem-GridColumn--default--12","simple_snowflake_acc":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"faq",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-7b47543e7e","additionalClasses":"headline-decoration","type":"heading2","lines":["Predictive Analytics FAQs"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"simple_snowflake_acc":{"id":"simple-snowflake-accordion-0ae1a18167","additionalClasses":"list--blue-bullets","showDivider":false,"accordionItemsList":[{"title":"What are some predictive analytical tools?","richText":"\u003Cp\u003EPredictive analytical tools include comprehensive platforms that support data preparation and model building. They also include low-code platforms, which offer visual workflows for building models. People with less coding experience typically use these tools. Additionally, there are open source tools, which are more flexible for advanced users. \u003C/p\u003E\r\n"},{"title":"Is ChatGPT a predictive model?","richText":"\u003Cp\u003E\u003Ca href=\"https://www.snowflake.com/en/fundamentals/large-language-model/\"\u003ELLMs\u003C/a\u003E, such as ChatGPT, create human-sounding answers in natural language by predicting the next likely word in a series. LLMs can assist with data preparation and other tasks involved in predictive analytics, and with a little effort, can be prompted to do predictive analysis on data you upload. ChatGPT can process large amounts of data relatively quickly, and when promoted by the user, can identify key patterns and make forecasts on potential outcomes. \u003C/p\u003E\r\n"},{"title":"What is the difference between predictive analytics and machine learning?","richText":"\u003Cp\u003EMachine learning is a tool used to inform predictive analytics. Machine learning is used to identify patterns within data that then inform the insights of predictive analytics. \u003C/p\u003E\r\n"},{"title":"How accurate are predictive analytics tools?","richText":"\u003Cp\u003EPredictive analytics are just that: predictions. They are based on the make of the relevant data points gathered. While they help inform business decisions, they are one piece of the puzzle. The higher the data quality, and the more carefully crafted the questions to be analyzed, the likelier it is that the resulting predictions will prove reliable.\u003C/p\u003E\r\n"}],":type":"snowflake-site/components/simple-snowflake-accordion","appliedCssClassNames":"snowflake-responsive-component-bottom-padding-small"}},":itemsOrder":["title_v2","simple_snowflake_acc"]},"container_copy_copy__480869401":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"customer",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-ead6d905be","additionalClasses":"headline-decoration","type":"heading2","lines":["Customers using Snowflake"],":type":"snowflake-site/components/title-v2","appliedCssClassNames":"snowflake-responsive-component-top-padding-none"},"flexible_column_cont":{"id":"flexible-column-container-bdc4411c7c","type":"2-column-even","alignColumns":"match-height","containerMaxWidth":"extra-large","topPadding":"extra-small","bottomPadding":"small","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-63dc915ee3",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":items":{"card_v2":{"id":"card-v2-2ac685cde7","configurationStatus":{"configured":true,"message":""},"layoutStyle":"vertical","title":{"id":"title","type":"heading4","lines":["WHOOP Improves AI/ML Financial Forecasting While Enhancing Members’ Experiences"],":type":"snowflake-site/components/title-v2"},"button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://www.snowflake.com/en/customers/all-customers/case-study/whoop/"},"linkTargetContentType":"GENERIC","linkType":"SNOWFLAKE_EXTERNAL",":type":"snowflake-site/components/button","text":"Read the story"},"image":{"id":"image","lazyEnabled":true,"alt":"simon data logo","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--7fa7f0b6-4ad5-4b7b-ba86-c0c18b811598/whoop-customer-card%25402x.jpg?preferwebp=true&quality=85","width":"1680","height":"720",":type":"snowflake-site/components/image"},"type":"content-card","text":{"id":"text","text":"\u003Cp\u003EWith Snowflake and Apache Iceberg, WHOOP teams have centralized access to data while reducing complexity, lowering costs and improving critical processes.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text"},":type":"snowflake-site/components/card-v2"}},":itemsOrder":["card_v2"]},"flexible_column_content_container_2":{"layout":"SIMPLE","id":"container-087bd606bb",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":items":{"card_v2_copy":{"id":"card-v2-f4bb954c45","configurationStatus":{"configured":true,"message":""},"layoutStyle":"vertical","title":{"id":"title","type":"heading4","lines":["Canva Improves Customer Interactions with Snowflake"],":type":"snowflake-site/components/title-v2"},"button":{"id":"button","showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://www.snowflake.com/en/customers/all-customers/video/canva-1/"},"linkTargetContentType":"GENERIC","linkType":"SNOWFLAKE_EXTERNAL",":type":"snowflake-site/components/button","text":"Watch the video"},"image":{"id":"image","lazyEnabled":true,"alt":"penske logo","src":"https://www.snowflake.com/adobe/dynamicmedia/deliver/dm-aid--575c335c-1c01-424d-b715-a6c3ea05a77b/gilbert-customer-card%25402x.jpg?preferwebp=true&quality=85","width":"1680","height":"720",":type":"snowflake-site/components/image"},"type":"content-card","text":{"id":"text","text":"\u003Cp\u003ECanva's Analytics Engineers discuss how Snowflake has been a game changer, providing scalability as Canva grows. Canva uses Snowpipe to ingest data for their predictive analytics, and leverages data mesh to scale across the organisation.\u003C/p\u003E\r\n","richText":true,":type":"snowflake-site/components/text"},":type":"snowflake-site/components/card-v2"}},":itemsOrder":["card_v2_copy"]},"isActiveTOC":false,"isBlogPage":false,":type":"snowflake-site/components/flexible-column-container"}},":itemsOrder":["title_v2","flexible_column_cont"]},"container_copy_copy__373061683":{"gridClassNames":"aem-Grid aem-Grid--12 aem-Grid--default--12","columnClassNames":{"flexible_column_cont":"aem-GridColumn aem-GridColumn--default--12","title_v2":"aem-GridColumn aem-GridColumn--default--12"},"layout":"RESPONSIVE_GRID","columnCount":12,"id":"resources",":type":"snowflake-site/components/container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-extra-small",":items":{"title_v2":{"id":"title-v2-9384c90d08","type":"heading2","lines":["Analytics Resources"],":type":"snowflake-site/components/title-v2"},"flexible_column_cont":{"id":"flexible-column-container-4cd0827a96","type":"2-column-even","alignColumns":"top","containerMaxWidth":"extra-large","topPadding":"extra-small","bottomPadding":"none","spaceBetween":"small","reverseOnMobile":false,"carouselOnMobile":false,"backgroundImageOption":"none","flexible_column_content_container_1":{"layout":"SIMPLE","id":"container-ba5dee5300",":type":"snowflake-site/components/flexible-column-container/flexible-column-content-container","appliedCssClassNames":"snowflake-responsive-container-inner-padding-medium",":items":{"content_chip_copy_co":{"id":"content-chip-a7f53e94e7","tagText":"Product","tagColor":"#29B5E8","cta":{"id":"cta","showOutboundIcon":false,"buttonLink":{"valid":true,"url":"https://www.snowflake.com/en/product/analytics/"},"linkTargetContentType":"GENERIC","linkType":"SNOWFLAKE_EXTERNAL",":type":"snowflake-site/components/button","text":"Explore the solution"},"headline":{"id":"title","type":"heading5","lines":["Snowflake for Analytics"],":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/content-chip"},"content_chip_copy_co_2130381683":{"id":"content-chip-1e33e02881","tagText":"Ebook","tagColor":"#71D3DC","cta":{"id":"cta","showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://www.snowflake.com/en/resources/ebook/essential-guide-data-analytics-ai/"},"linkTargetContentType":"GENERIC","linkType":"SNOWFLAKE_EXTERNAL",":type":"snowflake-site/components/button","text":"Get the ebook"},"headline":{"id":"title","type":"heading5","lines":["The Essential Guide to Data Analytics"],":type":"snowflake-site/components/title-v2"},":type":"snowflake-site/components/content-chip"},"content_chip_copy_co_1550944144":{"id":"content-chip-40a2c5264c","tagText":"Ebook","tagColor":"#71D3DC","cta":{"id":"cta","showOutboundIcon":false,"buttonLink":{"valid":true,"attributes":{"target":"_blank"},"url":"https://www.snowflake.com/en/lp/essential-apps-ai-data-products/"},"linkTargetContentType":"GENERIC","linkType":"SNOWFLAKE_EXTERNAL",":type":"snowflake-site/components/button","text":"Get the ebook"},"headline":{"id":"title","type":"heading5","lines":["50 Essential Apps, AI and Data Products on Snowflake 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