{"id":12240,"date":"2012-02-10T14:04:52","date_gmt":"2012-02-10T13:04:52","guid":{"rendered":"http:\/\/timoelliott.com\/blog\/?p=3763"},"modified":"2021-08-18T17:48:55","modified_gmt":"2021-08-18T15:48:55","slug":"2012-the-year-analytics-means-business","status":"publish","type":"post","link":"https:\/\/timoelliott.com\/blog\/2012\/02\/2012-the-year-analytics-means-business.html","title":{"rendered":"2012: The Year Analytics Means Business"},"content":{"rendered":"<p>The real trend this year is not the technology. It\u2019s about helping business people make <strong>better decisions<\/strong>, and actually <strong>change<\/strong> the way companies do business. Analytics has always been about transforming business, but the recent huge changes in analytic technology have created interesting new opportunities for business innovation.<\/p>\n<p>Most organizations are now starting to understand the technical opportunities, but many struggle to apply those new opportunities to their business processes. This blog post attempts to explain what\u2019s going on in the analytics market and give concrete examples of how other companies have implemented the new technologies in \u201cgame-changing\u201d ways (<a href=\"https:\/\/twitter.com\/#!\/hreiter\/statuses\/91624906416078848\" target=\"_blank\" rel=\"noopener\">sorry kittens<\/a>).<\/p>\n<h3>Wrenching Change and A Foggy Outlook<\/h3>\n<p>The chart below illustrates the wrenching effects of recent financial problems on the world gross domestic product: companies today have to be ready to react to unprecedentedly fast changes to their economic environment.<\/p>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" style=\"background-image: none; padding-left: 0px; padding-right: 0px; display: inline; padding-top: 0px; border-width: 0px;\" title=\"fast-wrenching-change\" src=\"https:\/\/i0.wp.com\/timoelliott.com\/blog\/wp-content\/uploads\/2012\/02\/fast-wrenching-change.jpg?resize=690%2C421&#038;ssl=1\" alt=\"fast-wrenching-change\" width=\"690\" height=\"421\" border=\"0\" \/><\/p>\n<p>And the economic environment is fraught with extreme uncertainty. This year, the <a href=\"http:\/\/www.economist.com\/blogs\/dailychart\/2012\/01\/leadership-elections-2012\" target=\"_blank\" rel=\"noopener\">people who run the world will change<\/a>, and so will many of the policies of the countries they manage. Financial markets have still not completely stabilized, notably with the <a href=\"http:\/\/www.economist.com\/blogs\/freeexchange\/2012\/01\/euro-crisis-2\" target=\"_blank\" rel=\"noopener\">future of the Euro still not assured<\/a>.<\/p>\n<p>Companies have reacted to this uncertainty by slashing costs and accumulating cash, and now need to start investing that cash into future development. Since interest rates are low and the business outlook is still uncertain, many of them are using the money for new technology that can help them prepare for the future.<\/p>\n<p>In particular, companies want better visibility about what\u2019s going on in their market, and increased organizational agility in order to be able to deal with change fast. It\u2019s like driving in the fog without a map \u2013 in order to survive, you should invest in better visibility, brakes, and steering to be able to spot and avoid fast-moving objects looming out of the fog.<\/p>\n<p>Analytics provides these capabilities: business intelligence to peer into the road ahead, risk-management to provide fast alerts to new obstacles, and flexible financial planning systems to help swerve around them.<\/p>\n<h3>Analytics: Hotter Than Ever<\/h3>\n<p>Companies are investing heavily in analytics:<\/p>\n<ul>\n<li>Analytics is the <a href=\"http:\/\/blogs.sap.com\/analytics\/2012\/01\/25\/bi-and-mobility-top-the-2012-priorities-for-cios\/\" target=\"_blank\" rel=\"noopener\">#1 top technology priority<\/a> for both CIOs and CFOs, according to Gartner<\/li>\n<li>Nucleus Research recently released a report showing that <a href=\"http:\/\/nucleusresearch.com\/research\/notes-and-reports\/analytics-pays-back-10-dot-66-for-every-dollar-spent\/\" target=\"_blank\" rel=\"noopener\">organizations get $10.66 of value for every $1 invested in analytics<\/a><\/li>\n<li>IDC has increased growth forecasts faced with stronger-than-expected figures for recent years<\/li>\n<li>IDC analyst Dan Vesset: \u201cAfter three decades, the business analytics market is finally <a href=\"http:\/\/www.businesswire.com\/news\/home\/20120117005096\/en\/IDC-Launches-Worldwide-Business-Analytics-Software-Tracker\" target=\"_blank\" rel=\"noopener\">reaching the mainstream<\/a>\u201d and \u201cThere are few growth inhibitors in the foreseeable future\u201d<\/li>\n<li>At the <a href=\"https:\/\/timoelliott.com\/blog\/2012\/02\/what-i-found-interesting-about-gartner-bi-summit-2012-london.html\" target=\"_blank\" rel=\"noopener\">recent BI Gartner Summit in London<\/a>, Gartner\u2019s Dan Sommer announced an early estimate of 10%+ growth in analytics during 2011, outpacing general IT growth.<\/li>\n<\/ul>\n<h3>Fast-Moving Technology<\/h3>\n<p>Analytics technology has been changing fast. On the back end, new technologies have come together to provide what Gartner calls \u201cextreme data performance\u201d. These include in-memory, column data stores, in-database calculations, massively parallel architectures, complex event processing, Big Data \/ NoSQL \/ Hadoop, and cloud architectures.<\/p>\n<p>The combination of these technologies provides a opportunity to access massive amounts of a greater variety of data, faster, and more flexibly. The key opportunity is that these new platforms \u201ccollapse the stack\u201d so that organizations can implement and update analytic projects much faster than ever before.<\/p>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" style=\"background-image: none; padding-left: 0px; padding-right: 0px; display: inline; padding-top: 0px; border-width: 0px;\" title=\"technology-behind-new-analytic-platforms\" src=\"https:\/\/i0.wp.com\/timoelliott.com\/blog\/wp-content\/uploads\/2012\/02\/technology-behind-new-analytic-platforms.jpg?resize=690%2C366&#038;ssl=1\" alt=\"technology-behind-new-analytic-platforms\" width=\"690\" height=\"366\" border=\"0\" \/><\/p>\n<p>And on the front end, various technologies are coming together to provide unprecedented levels of context-based \u201cactionable insights\u201d, including self-service data discovery, advanced visualization including maps, mobile analytics, predictive analytics, collaborative decision-support. They help provide more action-oriented interfaces optimized for the context of the users, both inside and outside the organization.<\/p>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" style=\"background-image: none; padding-left: 0px; padding-right: 0px; display: inline; padding-top: 0px; border-width: 0px;\" title=\"technology-behind-actionable-insights\" src=\"https:\/\/i0.wp.com\/timoelliott.com\/blog\/wp-content\/uploads\/2012\/02\/technology-behind-actionable-insights.jpg?resize=690%2C354&#038;ssl=1\" alt=\"technology-behind-actionable-insights\" width=\"690\" height=\"354\" border=\"0\" \/><\/p>\n<p>These technology advances are clearly important, and we\u2019re going to continue to see great improvements this year. The new opportunities have reached a tipping point similar to the rise of <a href=\"https:\/\/timoelliott.com\/blog\/2011\/09\/why-in-memory-analytics-is-like-digital-photography-an-industry-transformation.html\" target=\"_blank\" rel=\"noopener\">digital cameras vs. analog photography<\/a> \u2013 and you don\u2019t want to leave it too late to make the change, like <a href=\"http:\/\/www.latimes.com\/business\/money\/la-fi-mo-kodak-bankruptcy-20120119,0,3639082.story\" target=\"_blank\" rel=\"noopener\">Kodak, which recently filed for bankruptcy protection<\/a>!<\/p>\n<p>However, the real opportunity is using these new possibilities not only to improve analytics but fundamentally<strong> rethink key business processes<\/strong>.<\/p>\n<h3>High Resolution Management<\/h3>\n<p><a href=\"http:\/\/www.ee-iese.com\/102\/ingles\/pdf\/subirana.pdf\" target=\"_blank\" rel=\"noopener\">University researchers<\/a> have pointed out that today\u2019s management techniques are based on the limitations of information scarcity:<\/p>\n<blockquote><p>\u201cHow many times has someone in your company uttered, \u201cWe don\u2019t have that level of accuracy in the information, so we have to make aggregated estimates\u201d? Under the current paradigm, it is sometimes impossible to drill down and understand what is happening at a highly detailed level.\u201d<\/p><\/blockquote>\n<p>They coined the term \u201cHigh Resolution Management\u201d to describe what becomes possible with the new technology opportunities:<\/p>\n<blockquote><p>\u201cWe contend that these technologies will change drastically how management makes decisions. Why? Because with access to the finest granularities of information, management will be able to move freely from macro to micro levels and will be able to measure, plan and act accordingly. With increased resolution come more options to drill down, eliminate inefficiencies and cut costs.\u201d<\/p><\/blockquote>\n<p>Lets take a look at three different types of High Resolution Management opportunity, letting companies:<\/p>\n<ul>\n<li>Remove bottlenecks<\/li>\n<li>Rethink business<\/li>\n<li>Flip business models<\/li>\n<\/ul>\n<h3>Remove Bottlenecks<\/h3>\n<p>Better technology always means business opportunity, but the new analytic platforms are rapidly eliminating some of the key bottlenecks that have prevented organizations from getting value from their data:<\/p>\n<p><strong>Faster, more flexible data access. <\/strong>Companies like Red Bull have been able to <a href=\"https:\/\/www.experiencesaphana.com\/blogs\/experts\/2011\/11\/23\/redbull-rocked-sapphirenow-teched-madrid\" target=\"_blank\" rel=\"noopener\">speed up and simplify their data warehousing environments<\/a>. Using the HANA in-memory database, the company can now load detailed data twenty-five times faster into their data warehouse, and they were able to eliminate several levels of data staging, increasing the flexibility of the solution.<\/p>\n<p><strong>Data volumes and complexity. <\/strong>Companies like <a href=\"http:\/\/www.sap.com\/demos\/richmedia\/media\/colgate-hana-customer-testimonial-video.epx\" target=\"_blank\" rel=\"noopener\">Colgate-Palmolive<\/a>, <a href=\"http:\/\/www.youtube.com\/watch?v=_32uNAGSkuM\" target=\"_blank\" rel=\"noopener\">Provimi<\/a>, and <a href=\"http:\/\/download.sap.com\/download.epd?context=096AEBA42E655CAAF6134FD6EC13021144C1680A46ACEF1093DF77B1C232759F662FBB29406A1596F4E34DE4E97CE94227C437B359BB3F48&amp;ei=JqEyT8GeGYHNswbLrtW1BA&amp;usg=AFQjCNGSxEno-lplBShXuPBS9P34-gKz3w\" target=\"_blank\" rel=\"noopener\">Danone<\/a> have long had access to vast amounts of detailed data about their production facilities and sales channels \u2013 but the quantity of data meant that they were unable to run full analytics in a reasonable time frame. That has now changed. For example, according to Colgate-Palmolive CIO Tom Greene:<\/p>\n<blockquote><p>&#8220;We will be able to run analytics at a local level on specific brands and locations, and at the lowest level of detail in real time&#8221;<\/p><\/blockquote>\n<p>And Danone can now measure the carbon emissions of 35,000 different products, with new systems that:<\/p>\n<blockquote><p>&#8220;collect, measure, and analyze data across the entire product life-cycle, from sourcing through production, transport, retail, distribution, consumption, and end of cycle&#8221;<\/p><\/blockquote>\n<p><strong>New forms of data:<\/strong> \u2018unstructured\u2019 data such as text has long been difficult to effectively analyze and incorporate into mainstream corporate analytics. The new systems make it much easier for companies like Medtronic to\u00a0<a href=\"http:\/\/www.youtube.com\/watch?v=Jnjn0glGHeI\" target=\"_blank\" rel=\"noopener\">access and analyze the large amount of complaints and feedback data they receive<\/a> about their products, combine it with other data sources, and provide it to business users with dynamic interfaces:<\/p>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" style=\"background-image: none; padding-left: 0px; padding-right: 0px; display: inline; padding-top: 0px; border-width: 0px;\" title=\"image\" src=\"https:\/\/i0.wp.com\/timoelliott.com\/blog\/wp-content\/uploads\/2012\/02\/image.png?resize=563%2C323&#038;ssl=1\" alt=\"image\" width=\"563\" height=\"323\" border=\"0\" \/><\/p>\n<p><strong>New interfaces and users.<\/strong> Companies like <a href=\"http:\/\/www.youtube.com\/watch?v=gucqSpjTtOI\" target=\"_blank\" rel=\"noopener\">Altron<\/a> have been able to get the data to their users where they needed it. As Debra-Lynn Marais, Group Information Manager explains:<\/p>\n<blockquote><p>&#8220;The days of our users and execs being in the office have gone. They work from home or on the road. We had to develop a solution that gets information out to where our people are. Everything we do is mobile first. In addition, it&#8217;s less cumbersome and cheaper to buy and use a tablet than any other form.&#8221;<\/p><\/blockquote>\n<h3>Rethink Business<\/h3>\n<p>Many companies are going beyond \u201cjust\u201d improving their existing analytic capabilities, using analytics in new ways to change the way they do business. Instead of analytics being something that is used to monitor and eventually improve a business process, analytics is becoming a more fundamental part of the business process itself.<\/p>\n<p><strong>Proactive Analytics<\/strong>. Instead of using analytics only to assess previous performance, companies are using the new capabilities to get data fast enough to make a real difference. For example, online grocer <a href=\"http:\/\/freshdirect.com\" target=\"_blank\" rel=\"noopener\">Fresh Direct<\/a>, instead of just understanding what problems happened yesterday, can now understand what problems will happen in the next few hours, so they can <a href=\"http:\/\/logisticsviewpoints.com\/2012\/01\/16\/freshdirect-competes-on-analytics\/\" target=\"_blank\" rel=\"noopener\">actually fix them before a customer is impacted<\/a>:<\/p>\n<blockquote><p>&#8220;FreshDirect has an operations center that manages its fleet of delivery trucks. In a large metropolitan area like New York, traffic doesn&#8217;t always flow predictably. A traditional approach to BI would be to print a report showing the level of on-time deliveries (OTDs) the day before and then ask the transportation department what went wrong for the orders that were delivered late. FreshDirect uses analytics in a <strong>more impactful way<\/strong>.&#8221;<\/p>\n<p>&#8220;The company monitors the delivery rate of every truck and enters that data into the BI system on an ongoing basis. Every hour, it uses the previous hour&#8217;s data to predict how many deliveries will be on-time in the next hour. If the predicted OTD rate is below FreshDirect&#8217;s target, the company sends out an auxiliary truck or trucks to help make deliveries. The company holds 10 trucks in reserve for just this purpose.&#8221;<\/p><\/blockquote>\n<p><strong>Integrated Risk Assessments.<\/strong> Among other products, publisher Houghton Mifflin Harcourt produces educational books. Schools pass orders in June or July after the end of the school year, and then expect delivery for the start of the next school year in September. Getting books printed during the summer is expensive, as many publishers compete for the limited supply of printers available.<\/p>\n<p>To avoid these extra costs, Houghton Mifflin Harcourt uses using <a href=\"http:\/\/www.sapvirtualevents.com\/influencer-summit\/sessiondetails.aspx?sId=893\" target=\"_blank\" rel=\"noopener\">sophisticated, risk-based forecasting<\/a>. The company prints books in January or February, when printing is much cheaper. In order to minimize of excess inventory, it has carefully analyzed all the causes of previous forecasts, and now takes account of all the different things that influence book obsolescence.<\/p>\n<p>Before, the buying team just ordered based on the volume forecast from sales. Now they have much greater context for their decisions. For example, if there\u2019s a vote coming up on schools funding that may result in the canceling of a math adoption program for the year, they can decide to\u00a0hold back on those purchases until the outlook is clearer. The fast, more accurate forecasting mechanism has saved them tens of millions of dollars, and they have more of the products their customers want.<\/p>\n<p><strong>New Customer Services.<\/strong> International grocery chain Casino is rolling out <a href=\"http:\/\/www.youtube.com\/watch?v=bUplxg-Kzfg&amp;feature=player_embedded\" target=\"_blank\" rel=\"noopener\">a new mobile shopping application for its customers<\/a>. It provides data from its enterprise systems directly to its customers, resulting in increased shopping convenience and increased customer loyalty.<\/p>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" style=\"background-image: none; padding-left: 0px; padding-right: 0px; display: inline; padding-top: 0px; border-width: 0px;\" title=\"casino-mobile-application\" src=\"https:\/\/i0.wp.com\/timoelliott.com\/blog\/wp-content\/uploads\/2012\/02\/casino-mobile-application.jpg?resize=690%2C330&#038;ssl=1\" alt=\"casino-mobile-application\" width=\"690\" height=\"330\" border=\"0\" \/><\/p>\n<p>German healthcare provider <a href=\"http:\/\/www.aok.de\/bundesweit\/\" target=\"_blank\" rel=\"noopener\">AOK <\/a>(&#8220;the good health organization&#8221;) is committed to helping its members avoid illnesses in the first place. It is planning to introduce a new, market-differentiating service: <a href=\"http:\/\/en.sap.info\/aok-implements-sap-hana\/60690\" target=\"_blank\" rel=\"noopener\">personalized healthcare advice for each customer<\/a>, with tools that:<\/p>\n<blockquote><p>&#8220;Conduct real-time analyses of the tremendous amounts of medical data we receive, recognize potential health risks, assemble various preventive care programs and respond to those risks appropriately and ahead of time.&#8221;<\/p><\/blockquote>\n<p>As an added bonus, they also believe that this tailored prevention program will result in significant cost reductions by preventing expensive unneeded treatments.<\/p>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" style=\"background-image: none; padding-left: 0px; padding-right: 0px; display: inline; padding-top: 0px; border-width: 0px;\" title=\"bchydro\" src=\"https:\/\/i0.wp.com\/timoelliott.com\/blog\/wp-content\/uploads\/2012\/02\/bchydro.jpg?resize=690%2C388&#038;ssl=1\" alt=\"bchydro\" width=\"690\" height=\"388\" border=\"0\" \/><\/p>\n<p>BC Hydro is saving $70 million dollars a year through the installation of new smart electricity meters, using <a href=\"http:\/\/www.smartmeters.com\/the-news\/2924-bc-hydro-data-management-system-operational.html\" target=\"_blank\" rel=\"noopener\">SAP systems<\/a>, and offering new services to commercial customers based on the new data possibilities. Companies like Centrica are <a href=\"http:\/\/greenmonk.net\/centricas-smart-meter-analytics-application-could-make-energy-management-compelling\/\" target=\"_blank\" rel=\"noopener\">planning to use<\/a> SAP\u2019s <a href=\"http:\/\/www.youtube.com\/watch?v=hgTGwNNfPpI&amp;feature=topics\" target=\"_blank\" rel=\"noopener\">Smart Data Analytics<\/a>, giving them deep understanding into consumer consumption.<\/p>\n<h3>Flip Business Models<\/h3>\n<p>The really interesting opportunity for businesses is where companies have managed to use analytics to fundamentally flip the way their businesses work: instead of analytics being part of a process, it \u201cbecomes the business model\u201d.<\/p>\n<p><a href=\"http:\/\/en.wikipedia.org\/wiki\/Timothy_Ferriss\" target=\"_blank\" rel=\"noopener\">Tim Ferriss<\/a>, author of the <a href=\"http:\/\/www.fourhourworkweek.com\/\" target=\"_blank\" rel=\"noopener\">4-hour workweek<\/a>, is an <a href=\"http:\/\/writetodone.com\/2008\/10\/20\/publishing-20-tim-ferriss-on-using-a-viral-idea-to-create-a-best-seller\/\" target=\"_blank\" rel=\"noopener\">interesting example of this<\/a>. He didn\u2019t do what most authors do: write a book, and then figure out how to publicize it. He used an analytics-first approach: he bought Google Ads, with mockups of book covers, with a variety of titles of books that he might be interested in writing \u2013 and then wrote the book that got the most clickthroughs! This is one step beyond using analytics such as focus-groups, which are typically there to validate existing products. The next generation of products and services are being created \u201con the fly\u201d based on an analysis-first approach.<\/p>\n<p>The clothing brand <a href=\"http:\/\/www.philau.edu\/sba\/news\/zarareport.pdf\" target=\"_blank\" rel=\"noopener\">Zara shook up fashion retailing<\/a> with \u201canalytics first\u201d \u2013 instead of having a designer creating clothes and then trying to sell them six months later, they realized new manufacturing techniques meant they could create clothes \u201cin the moment\u201d. They could observe what people were wearing in the street, quickly make small batches of variations on that theme, and get them into the stores. If they sold well they made more, if they didn\u2019t sell they discounted quickly. Instead of a season-oriented, \u201cbatch\u201d business, they switched to a flow-oriented business, using new technology capabilities.<\/p>\n<p>The new analytic platforms mean that this analytics-first approach is available to many more businesses than in the past. For example, <a href=\"http:\/\/www.sap.com\/hana\/customer-segmentation-accelerator\/reviews.epx\" target=\"_blank\" rel=\"noopener\">T-Mobile is in the process of transforming the way they attract customers<\/a>. Instead of laboriously creating a range of rate plans, promoting them, and analyzing the results, they now use analytics to automatically create hundreds of more complex, personalized rate plans. They then throw them out into the market, monitor in real time, and quickly cull any that aren\u2019t successful. It\u2019s a way of doing business that would have been inconceivable in the past, and a lot more common in the future.<\/p>\n<h3>Conclusion<\/h3>\n<p>2012 is the year to rethink your analytic technology to take account of new opportunities:<\/p>\n<ul>\n<li>On the back end, for extreme data performance<\/li>\n<li>On the front end, for actionable insights<\/li>\n<\/ul>\n<p>And it\u2019s time to rethink your business:<\/p>\n<ul>\n<li>Remove today\u2019s bottlenecks to successful analytics caused by data volumes, data variety, or data access<\/li>\n<li>Rethink business processes by embedding real-time decisions<\/li>\n<li>Create new products and services that could only exist because of today\u2019s analytic power<\/li>\n<\/ul>\n<p>Organizations are using this technology to change the way they do business. If you run an analytics project, you are in the forefront of these changes \u2013 it\u2019s your job to help explain to the rest of the business how these technologies should be changing their existing processes. Good luck!<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The real trend this year is not the technology. It\u2019s about helping business people make better decisions, and actually change the way companies do business &#8212; here are some concrete examples of companies that are using the new analytics to make a difference.<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[2],"tags":[27,100,160,173,198,204,213,324,478,595,834,911,980,1085],"class_list":["post-12240","post","type-post","status-publish","format-standard","hentry","category-best-practice","tag-bigdata","tag-analytics","tag-bi","tag-big-data","tag-business-analytics","tag-business-intelligence","tag-businessobjects","tag-dashboards","tag-extranets","tag-in-memory","tag-prediction","tag-sap","tag-smart-meters","tag-trends"],"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/p3X9RF-3bq","_links":{"self":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/posts\/12240","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/comments?post=12240"}],"version-history":[{"count":3,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/posts\/12240\/revisions"}],"predecessor-version":[{"id":20653,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/posts\/12240\/revisions\/20653"}],"wp:attachment":[{"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/media?parent=12240"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/categories?post=12240"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/timoelliott.com\/blog\/wp-json\/wp\/v2\/tags?post=12240"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}