{"id":136627,"date":"2025-07-17T18:11:35","date_gmt":"2025-07-17T16:11:35","guid":{"rendered":"https:\/\/www.penaz.cz\/?p=136627"},"modified":"2026-08-27T14:00:25","modified_gmt":"2026-08-27T12:00:25","slug":"what-is-supply-chain-analytics-2","status":"publish","type":"post","link":"https:\/\/www.penaz.cz\/?p=136627","title":{"rendered":"What is Supply Chain Analytics?"},"content":{"rendered":"<p><img decoding=\"async\" class='wp-post-image' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"251px\" alt=\"supply chain analytics\"\/><\/p>\n<p><p>Strategic use of supply chain analytics can impact a business\u2019s bottom line. Monitoring supply chain operations in real-time helps organizations assess supplier performance and adjust pricing strategies based on changing markets. Supply chain analytics uses data analytics, business intelligence, machine learning (ML) and data visualization tools to turn that information into useful insights. Supply chain analytics is the process of collecting and analyzing supply chain data to understand and improve supply chain management. When you enroll in either the monthly or  annual option, you\u2019ll get access to over 10,000 courses.<\/p>\n<\/p>\n<p><p>Modern supply chains generate massive amounts of data, but turning that data into insights requires the right analytical tools and capabilities. Your FP&#038;A software should help you lead your team to faster growth and smarter analysis\u2014not limit collaboration and slow you down with outdated models. Learn how AI demand forecasting uses advanced data and machine learning to predict demand <a href=\"https:\/\/fahzaenterprise.com\/top-marketplaces-for-crossborder-ecommerce-and-dropshipping\/\">https:\/\/fahzaenterprise.com\/top-marketplaces-for-crossborder-ecommerce-and-dropshipping\/<\/a> more accurately, optimize inventory and help organizations make faster, smarter business decisions. Discover how finance leaders use AI-driven insights and solutions to navigate change, optimize performance and unlock new business value. Organizations in the food and beverage industry often use analytics to support complex planning across pricing, production and distribution.<\/p>\n<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"251px\" alt=\"supply chain analytics\"\/><\/p>\n<p><p>A passion and curiosity for improving supply chain performance by data analytics is desirable. The Specialization consists of five  courses, each takes about 4 weeks. &#8222;When I need courses on topics that my university doesn&#8217;t offer, Coursera is one of the best places to go.&#8220;<\/p>\n<\/p>\n<p><h2>Data visualization and decision support<\/h2>\n<\/p>\n<p><p>So you need visibility into what\u2019s happening right now. With the speed of business today, <a href=\"https:\/\/shoppingtrendnews.com\/opportunities-and-challenges-for-small-businesses-in-the-e-commerce-market\/\">https:\/\/shoppingtrendnews.com\/opportunities-and-challenges-for-small-businesses-in-the-e-commerce-market\/<\/a> you need to take immediate action and you need to predict future outcomes that compel timely action today. Which means bringing everything together to operationalize it and achieve end-to-end visibility is challenging. Data sits in a variety of enterprise resource planning (ERP) and customer relationship management (CRM) applications, in warehouse management systems (WMS) and a variety of other back office and factory floor repositories. Real-time alerting then brings actionable insights or triggers automatic, immediate actions in other applications. Legacy SCM and ERP solutions were never intended for real-time decision-making; they primarily answer known questions using historical data.<\/p>\n<\/p>\n<ul>\n<li>In retail and consumer goods, supply chain analytics is often used for demand forecasting and inventory optimization.<\/li>\n<li>This Specialization integrates supply chain management with data analytics and AI-augmented decision-making.<\/li>\n<li>To excel in supply chain analytics, you\u2019ll need to have strong data analysis and data visualization skills.<\/li>\n<li>Descriptive analytics summarizes historical trends in dashboards, visualizations, or reports.<\/li>\n<li>Many parts of global supply chains rely on third-party vendors or external logistics providers, each with its own systems.<\/li>\n<\/ul>\n<p><p>Predictive analytics uses data to predict future outcomes, such as forecasting future demand or anticipating  possible maintenance needs. Diagnostic analytics uses data to diagnose a supply chain problem, such as the causes of delayed shipments or missed sales targets. Consequently, logistics professionals use descriptive analytics to understand how a supply chain and its parts are currently working. For example, a supply chain analyst working for the aforementioned shoe manufacturer might analyze historical sales data to predict when consumer demand for the shoes will rise and fall in the foreseeable future. As e-commerce grows in size and importance, so does the need for well-trained analysts capable of understanding the supply chains that undergird it. As distribution networks grow, so does the need for data professionals to ensure they run smoothly.<\/p>\n<\/p>\n<ul>\n<li>Modern supply chain analytics is powered by a cloud-based, end-to-end data integration and analytics platform.<\/li>\n<li>Additionally, experience working with common supply chain analytics tools can prepare you for a role in the field.<\/li>\n<li>In the past, most analysis relied on historical reports and Excel spreadsheets, often produced after the fact.<\/li>\n<li>Supply chain analysts analyze this data to understand trends, identify inefficiencies, and develop insightful solutions.<\/li>\n<li>Reshape operations and embed efficiencies through the chain to lower cost of goods sold (COGS) and achieve high gross margins<\/li>\n<\/ul>\n<p><h2>Challenges in Supply Chain Analytics<\/h2>\n<\/p>\n<p><p>Without accurate data, organizations must rely on guesses or outdated historical averages, which can lead to stockouts, excess inventory and other costly errors. Robust analytics can also support sustainability goals by identifying waste and inefficiencies in areas like transportation and sourcing. By applying analytics, companies can be more proactive about their supply chain decisions. Supply chain analytics provides the visibility that it takes to handle these complexities. Ongoing supply chain analysis helps organizations keep operations running smoothly and allows them to respond more effectively when conditions change.<\/p>\n<\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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\" width=\"253px\" alt=\"supply chain analytics\"\/><\/p>\n<p><img decoding=\"async\" class='aligncenter' style='display: block;margin-left:auto;margin-right:auto;' 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NlTO7dxKwkE+AHHN90z3OZC2afSy7EdeR2iWC2llbwz3S6GVll0kgq3hKTwAwMEHBC1WeXMs8y2qTGTJkjbH7ym1JS4ne1uUpR65IIJScJUFJ2YJCVcWhHm4r19c7Lod25lyc0KGmN31LFd41Dab80q9OXN6TGbCNjk15l1DasKwlaFApyOQ4gciDjFXM+0\/wk\/7RsEi4XCUsEPxpslhckFPjnclbucgDCPVkkYF07Bi3262mRLT5PjyELaQxGSVLcWJD24jceCUp761qOBxxkk4xVsvEW06pD8Idnt7iG2JaGNriHBhPWFPXhY27wVDeDw9GcDb31pLEktfL7Gk44fDUeU3\/AJNfxtXtV53LBBBB9H\/KvPXW\/wDSzpjyWuLeokGRHiST1akrjsoQFAd1QUwpTXeAOQAninOMk1oFbtrcRr01OJo3VtK3qODPKUpWwawpSlATBSlK5JEVHOtIfZNQvbfMfAdHv5\/rBqRq1jpCidbAZmJ85hzafYr\/AIEAe+rreWJmUaNSlK6BkUpSgFXtlt8i7XiFa438tLkIYTwyAVKx+rOT6qsxzqVfky2Lylr9dycTuZtTJXn\/AM1eUpz7usPtFal9X5FCU\/Jf2b3Z1v7Rcwp+bR01aILNttkWBGTsZjMoZaT6EpSAB9gq8pmva+bt5eWfXYxUVhClKjzp+1983XRrPvrGxdydUmJbWl4IXIc4JOOG4JG5ZHiEEZHMCZgvlAdNlr6N4CrbbUs3DVD7YUzGWSWoqTydfIIO30IBClngMDKhxPqzU1+1bfl3q+3Kdc5bg2iQ6NuwfkobGEoT\/VSBnmckknEXN6+amvEi4SXpdymur3vyHSVlxZ5qJ9Z5AcAOAAAAG76C0k4qShT8rcg8ClKdyOXEKHBQ9GOB9AOQDjJJRyazAjeal1KFp555Z48x\/nxHu51lELTG85Oz8h1JPP1pVnn6iPeDmtt1JpKQl53yenrUjHAceHpHp9GDx8DnmdSuOl7wlaf4qvqt+McSE8M5\/wAwfA+vnDmQLOVLoXPaIclH07feKBxSkAj144c\/QfHx5EWsN2VbZKZlvmKZdR3klOCknOBwPNJ4gg8fsq7a0pdv5NKVciU+3GSPDhV6qxzozKu0x+8sFXLiOHP9WSPSM+NOas7mXSl5HSXyXelXy3DTpG9yN05hJVEfcdJU4gqJ6o5\/JBAScnI4HBTx6Br89tIxZUG\/RLhGcVHeQ6FIUlZSpJStJyD+vJ4Aj0ZrvPTl2i3m1R5TEhl1SkAq2KBAPI+wcDj1VJMqlHBlqUpUiIpSlAKUpQClKUApSlAfNRh073ZLNuiWlKsdaS+76kIHAH3kH+7UnVzF07X3tt9uSm1ZAWITXsSe\/wDr3\/aK6fZFDnXK8lqee7yXXIs3Fby0IomyFSZj0hXN1RV7Bnl7uVUaUr6AfMhSlKA9FZLTcduTe2mX4b0tPVuHqkMLdJPVq2kpRhRSFbScHOM49FY0VldLoU5deyp27X2HkKSY\/XFaerUrYlG5O5SsYAChxI41VW\/g\/sXUMcaz5makv6ganzu092Ch0h1LZUWXnIraktDK8rUjLYGVE58eOcZPTwg2\/T6bg\/2adudJDrOXJcdCkgOIVyydz2SAEqISSVYKQaF0k6ou3lByWp3ycy+uIzHfCA4wVtrUwjA4jPdTnOCVDiTyyFukeWdLMst3RDymHAl0sQihTCFqKwpYICFOKw9wBPeVnKgcp5NR\/Ck8Yzrg7NLHG8ZzjTJUbTdJ0l96M5EjGEAhc54pZ3LSe7kgpBIUMAnJyCU7QAAXPegzLg5fUy\/KLRaLim3FucEqCd2FE90DiSSSClHgVJNNxCYyJ1vuVpdu0GY6JaRHWrdnJIUkp47TlQBxgjxByB5NbkXl6XOlq8n9pQI7SUhJCEcBjvcBjkSeIHDmpG7HCs67FuXjT+XkWGqIkWNe4yW\/J8VMxoRxGh5HUhS15WsHOAHChaTlI4gAZSRVC1G8XRchu9w3Zsd9luZtEdxbi0hPVoLKWilO4dYCQoEDGSARxyGsZyV3KHb3Zn\/csvSIxiLbea2rU6tKlkDulASoAE5UeQwDX1Ck6rYkrst7Ut5q3oakMgMocjw3Ad6XHAhSNuAhfMkjiSk1OMny1t\/nfGSmUY8x749PMjgUrxPmJ9le12UcJit+6D5TkbVsllhU5K3oax\/FW2nFEBSVEKbc89JAOQjvHw8caF4Vc2uaq33KLOaTlUd0LCSSArB5ZGCM8sggjwIPGta7pc6jKHmjZs63Jrxn5M23Xa7VG13MTLhx3WezNJYESIuO20rCScx1KSUHzgUFQwVZIVjBvbdIs7slEiNFKrXJlBDcEW1LbkhaSCEIcD4PWICuL2QE7vDcEnzpBZc1RYomr7azc5DTTfZpKVvplJioGVbS5gO905JLoOQsEKIrDydUR0vQmbbF7LEjLQnc6lJeDG7cWht5JPEqOSVknJAJSeZSg6lGMVnK0eux1KtSMK0m8YbymbZqaTb3nmW7fIjvS5Db6VPMWVOyahMh3c00hToCSnzijGXCoK7xUAdI1FcNOyYBTAtq0yNiAHwyI6QeO9WxLiwQrugJ4EHJCsHaMpe7j\/BzUMeLGil9mON7seW2kLSsSHXEL\/G2qAWClQzuSQSMKKas7ZAh6m1tHjxvoozpbVIMp5tguYSOtI5jcsg4AzxVnAGcWUYKlDjeeFIjWqutPhjjib2N915A3dF65zsNppS2mFGSu3NKW8vcjj18ZewJ4qADiATyyCQTDfjxqWemuQzBhtW1cV1u4TXEuvKlRYqX1NJJKT1sY4KSoYAUCeGcgjjE1S7JT5OX1bwV9stc5RXRLJ5SlK6xxxSlKAmClKVySIq3ucXtsCRF\/wDFbKR6jjh9h41cUongEQEbe6rgQcEeg15WY1hE7JqGR+S6euH97n+vNYeurF5WSQpSlZArqn5NVh8l9Hybg6n6a6Ol8kjB2DuoHsOCof265js1ukXa8RLXG\/lpLyGU8M8VKwCfZnJ9VdxWeDHttqiW+MnYzGZS02n0JSMAfZXmu8dxiEaS66s9h3UteKrKs+mxfUpSvInvhXHPy6tTquGsrJo1hStlvjmU9xylbr\/dSMcwUNpJ9Ye9XHsXNcBfKRldr+UtqbrFd2O9HaT6MCIxw+0qJ9vqrDeDKLbR2museiw43XfScXXt5GD4gAftP2Cp00vpO1tLSpUdKlgbdxAyRWjaMKnblHkObdoZCUgcAB4f6GAeePTKVpkbVp3eNcW+ryUsJnoezqEeHiaM5HsVtcxujp5AcvRX29pa0v8AeVFQFZz5uDn\/AF+urqG+nZ53jV+lfc\/FrShUfmblSmk9jBr0raeu65MdPj4Y5jBrE3vStrfQr+L7eGPd6\/8Ah41uLq07Nyu7785rB3iQnZtT\/wBKxKpJPczTpRluiHNYaai2nqpSVfQjgSrikDOeXHn48KpXPWyrIyym0yFW+R1WWX4i9njyUB5wPoPHx9VbXrRHabU82rxBHs4VB+u+pjWdDm3kcnaTlHH0ergccOeOBGT2LOo6kNTi39JU56HYXQV0jp1\/YZCZKUIu1v2JlpQMBW7dtWPUdp\/5VJVcU\/IpvExvpXXb0qUqPJtr6XgB3QUqbUhZ9mCAf6\/rrtaugjlsUpSsmBSlKAUpSgFKUoDC6vunkTTc65d3cy0erz4rPBI95IFcda0ldfPRH3buqRk5OcrVxz+w10T0\/XhLECFaUqwlxSpD\/qQjkD7Sc\/3K5emPqkzFyFfziyr2DPL3cq9f3et+GDqPqfOu9F3zblUltH9lGlKV6Q8sKUpQCqjDiW5KHFNoeShYUWnRlC+PI+o8jVOlGsmU8G\/xLnbYzz7j6rgq2XiMS4kIbS5FDSwiM8nq8IbwpPVhJIwW8nAIA8K7vpy5KTJiyFo6srcgtSNjB3NqTvB47mRv3ApIDZyDjKVK1qxXhUZl63y5U5NvfadRtZO4NFYAUvqiQlRKcpwSMbtwIIGdojSZUaAj+K+ULN2dEmO1ImpDzRCN7iWHgBuLache0JUknaDy3cepT5bw1o\/7OzSrcxJ51RkYtxtMuNuTNEdWGFvhe7s4ecWELAUCUKUNwJUTkIIICihSapzr9BjSd0NMqdLLrkd1Kitt9I2\/RKQlag4vvLCkpwMBKuKQoisTLFhVJa7c3OiqkPLWlmVbe+hjaopc3JCS4ThAJyrO7n3cm7jfwfTGQ3Eh3a59sV2ZrqWkw4jhxwQp3CVK4AnCioD0KA418uO+psc2T0WD5shZ7Su63+c68zGQHXUvKStcjaoYZRyDii4EFxYzgBKSSVKxi9RzuvtUiVLS7IkXZxThCkIDcZ9DgCkpyA4hSEBKMeaoL590A5G6T1MSbfer3lBjvg25iAloMBlKG1IWhJAK0rBKS6CCgpHAkbRpdxnSZ73XSXnnsJ2N9a4pwtoycIyc8Bk4+3mTWxQp8yXEalzWUI8K3LWlKV1DkClKUBc2ydKtsxMqI4ppYBSdqlDenxSdpBweRAI91XfY1XR7dZLLISpCMvMMKU8AfSgHKwn1EqI9PHAudHaamaqur1tt70dEhuMuQOuVgOFJSNgPgSVAAnhWWtnR7OloCpM+JBV1EZzZIZdJSt951lLaglJKVBbZBJGBnjyNaNW4o0pPMsP\/AHyOhQtq9aKxFuLKNg0FfLmgSnG+zW\/8eSlPaS3\/AFS0zucCvUoJA8SMYrcYuo9OaFsi4dkmGRLkJUpzsclqS1JUkYBkBxlKmx\/URxHrySdUe0Lu7El2\/wBvXOmTxbRH6p0qS+laEOIKtuO51gJIOCB3Sas9UaPmWBmW87LDwjOstKBiuslRc63GA4lJIHVHvDIOeBODWjKVK4ko1J5XRJNLc36catrFunTw8bvcwVymOT58ic+3HQt5ZUUsNhCEegJSMAAcse8kkkm2pTlXahFQjwxOHObm8vc8pSlSIClKUBMFKUrkkRSlKA1bpDidZDjzEp\/kllCvYrl9hGPfWkVK13idttsiL+M62QPbzB+0VFNb1tLMcEhSlK2ASr8maxeUtdquik5ZtbJXnw6xeUJB928j1prqcVFnya7D5J6Pkz3E7ZFydLxyOIQDtSPfgqH9qpSr572tcc+5k1stEfU+wLX2ezjneWrPqlKVzjtgcq\/PT5S8eQ18onVn0e3fLYUkEcFgxWOPv\/1yr9CxyrjL5atlctfShF1F1P8AF7jaUbVE5BeYWpLmR\/YcYAHjx4cDWGSjuY3ouMiStbzu5au6FKOcE+r\/AJfbyqZLMx17Ke7u93Kou0OmPYtMR3pqnVvSNq8DBUoqGceHIek1uUbWE6FDVIYsMp5rw6pok49Z9XPl68VwrilOpNuJ6O1rQo00pMkqHB3I3f5cqv0sJ\/q+721ENt6ZUuSVR1WVaFHbgHcCBnic8eXu48PXUkWTUUe6RluI7qkZHt4cSPV6xkGqXR5f8i3n81\/CzKuRtyO7WGuEVSd3d8K16+9Jke3odSllKlNDBBVxz\/158eXHxFaxaek\/UF7eU3B0y88zjPXpbURn055Y8OB99Zds56xCulSeJGU1ZHU7DW2nziDwx41zBq2ZK66RHd3bUL6pQIAI48\/d\/rxro66aguUbcq7wVdVnmkcUD\/l45NQt00WyPb79FvTCd0K4oWh4DhlYTz9WQQfURW7ZRdJ4l1Of2hJVY8UehL3yB7HFVD1DqJzvym3UQWTwwhvYlaj7VHaPYkeuuq6g75Fun3rN0MtXB\/qd15mrmoKOKg3tS2Eq5ci2ojwwrPMkCca6xxRSlKAUpSgFKUoD5pwxmlYXWl28iaYn3H8Zlo7PWs8Ej3qIFZinOSS6lVaoqVNzlskc7dOd97fqC5uJVlAWIbX9lGd369\/H1iooJrM6skdbMRH3buqRknOck1hq+kWdFUqMYLoj4\/d13XrSqS3bPKUpW0awpSlAKUpQCriJLkRHlPRnNiigoXlKVBaSOKVJVkKSfEEEH0Vb0rDSejJJtPKM9H1VdmNzjame0lxa+1AKQ53nkvKHdUE4UpIz3c4yAQOFU16iuCXkqiJjwUoQEpSw3uCCHHFhaS4VFKwp1ZCkkEBWAQKw3CnCq+RS8iz2ifmeAJT5vd9lKUq0pFKUoBSlKAv7TdJVr7d2TZ\/HYjkR3cCcIXjJHLvd3geOPRWfk9Imq3m3z5Q6qQ9EYiOSWdyHlIZWtaVbgod5RcVuIHH0DiTqNe1rztaVR5lFNmzTu6tNcMZNIy0C\/wBwhItaWkx1eS5xmxytJJLpKCd3EZH0aeAwefHjwyz2uZz\/AG0P2HTzrUzqy4yYSi2lSN+1aU7+CvpFZPH3Y46lXtYdnRerX+5yZV5WSwpM8FKUrZNUUpSgFKUoCYKUpXJIilKUAqNNWROyX6Q2nzFnrUexXH9RyKkutT6RIm6NHnJ\/EWWlew8R9nH7avt5YkZRph51eWO3SLtd4ltY\/lpLyGU+IypWBn\/P1VZ1KnyZ7F5S12bk4ncxbWi4D\/5iu6kH3FRHrTVl9XVGhKfkjf7Pt3XuIU11aOmrPBYttsi2+MnazGZQ02n0JSAB+oVe0r2vnDeXln12EVCOEKUpWCZ5XPXyxJNkumj1WdUV5+8wHUOxnQMNsqdBSd3Eb+BB2jIB2kg7dp6FrlP5RFjZb1lJuCk4ekzY6XCkn6VG9rAV6cbuHo9PHFUV6jjjHU2bakpt56IjWxwVP6eaumoJFwuUuO8826yZCwwz1bim9oSgpHHZnJzkcsDnl49yuUa2xbtbdM2+PFMnqFfxLr5TfDgvYCk8TwGTxyOWRnedF21l1d1g7U7ESi5tGCUtuoCt5HgkudcMkYynnyrPs6OU29ujOJKj3g6DxTw5\/wDStGdxiWp0oWzlDR6mmpTqyczCevaYkhMllD5i5UnsxUfMUhPdyOZBBxniB44JWpekS36kl2PR1pj3BUBlaZgTGbIypCFNqJO0BQysbUgAlOSnmDMVziWnTdnkXS6SBHjMI3yJTxwEoA\/1gDiTwAycHF9ClmmRLVKvFwjqZl3qS7PeaI77YWe42r1pQEpI9Oaw66abaz5ZLFbYaipNeeDQ9HyrtfbOu+JjxVzmHCw6ns6UOB5KU7ieAWhRJyQlSQM4xw4\/er5evkw4+2Qzd2nG3NzQipUY7u5CUBRdyVIIOc5BHiRjjs9ugR9L9KN1ZkuIRE1EtEqJk4T2tAw81\/aUkoWBzO1zntIre71p6LO+mU2ndyOBjP8Ar31L2jh1xoyErTjWG9Uc+S4VyVPVb5driS0rAzIhNFjYccQCgjl6c4I9pAwupbH\/APUiLTLkT7hp+O5HK4jsohxtcgltOxavN2K73HORtSQQSR0KrTkWNueabVvCD5m4+Hj\/AK99RXqqMzJtWproxte610GK60rIUhpDaSQRzBWhZBBIIORw4nNO4bZCpZqKwzo3oPm2lWgLfYbWpX\/YcdqA+CtKjvSgZUSPTzOQDnOR41vtRT0AWuLbY9xTDZSy062yraBjjlzJPtPieNSvit2hNzgmzmXFNU6jitj2lKVcUilKUApSlAfOaiX5Ql3S3Bg2ZLmOsUZL\/HkhHBIPtJJ9qKlknFcrdOF+8pajubzatyA4IbH9lBIV7eO8\/wB4V1Ox7fnXKfRanne8t1ybNwW8tCM5byn5LshXnOLKvZx5e7lWc0zo+\/akjPSrXFQplpWzc46lAWvGdic8zg59HrrXq3rQV0tc21\/wQvvWx478sPW6c1kKjScADj685B8NxzgEEe1upypQzD\/UfO7eEZyxI0uXGkRJLsWS2pmQysocQrmgg4I91Uia3lenU23SesmbhHjyLjbZUVCZG3JSFODKgeY3A5I+2sxZrJaXL90fMu22IpM2A67KSplJD56okKX+Vx4gmqnexSzv\/wDmSxWkmyLqVJMFGmdTM32yxtKos71siuyY8tKyXEls42vcPHxBJAGcYIBr7uczTem7Jpdx\/RsS4yJ9saW+6ru78gZwMHc4c5JPEcOPHhj27XHC8+RL2TrxLBolqs0y6Q7lLjdV1NuYD7+5WDs48vTyPCsbUtPWSLYHukG32\/ux\/JLTzKVcS2FBR2HOeR5Zycc8+NNrTlmm3K3a07DHZ095MXLmR2kjqw+0NpbA5cScgY4lJ9NYjfrVvbp+A7R4SW\/UiqtttfR1qufAExu3oZS4jc02+8ltxwY8En\/5Y+ysZplUWXrW3OS47LMd+5NlTKUgNoCnBhGPyRyx6KuukuROd19dXLgp1L7EkhnJI6tsH6Mp9AKcHI5kk8yatqVajkoRwtM6lcIQUW5ZevQtGtMXhXlZLkXs7tpa6yW08dpA48ue7OCQQcEcQTmsNmpK6PJjjkbWcrUTcmctEBBkMvrUhxwAK7hPNOcY9Qr6k2Wx6mRo64RLWzZxdZL0eUzFOEkNk8uXeO0gEDPe45wKqV44SamtPNfbJY7ZSinHfyIyrJ3Sx3C1223XCW2hMe4tFyOQsEkDHMeHAg49fpBAknTrulbtq242FOjIMbsDT4be84nYduXEkczzBJJB4ZOSa+NOWe1y5PR4y\/b4rqJkGWp9LjQIcIRkFQ8cHjx8eNQlftPbBJWeVuRPwpUgXZGnbz0fXW5W2wM2l61S2m2VNrytxClBPfPiSDk5zg8jzzrmgrN5d1hb7apO5kuhx\/hkdWjvKz7cbfaa2o3KlByaxjcolQakop5yWt9sN2siIjl0hqjiY2VsZUk7hwzyJwRkZBwRmsZU19Jdrvl20feJl2g9nXbJ5kQSFoUVxdoSfNJxgZWQcch6Kw8L+DNrsmjO06Yg3CVdQWnnnQBtBcSkqxx3K7wwTyAwCM1r07\/ME2svPQvqWaU8J4WCLBz41c2uDIuVyi2+Jt66Q6G29xwMk451Iztk0\/plGqb45aRdkQLgiJEiPq+jbCkoUVKPHON+0Eg8gOZyLiM3Z5MbRF6tdjZti5l4IdCRndtWeSjglORkDkOQ5Ulf6fCn9\/XGTEbPXVkX3GG5b58mDJ29fHdW05g5GUqwcfZzq6sdnmXlctuFs3Q4q5bu5WO4jGcevjwFb3PskfVDOpINvhx03y331a0uhISt5hx1ScKPMhJKlE+ASB41mrBMsdt1PqGy2uzwVs2uyLQp\/YAuSWgOsSs4yQoqwc54o9dQlftU9F8QjaLi1ehFd0sdyttrt1wltpTHuLZcjkLCiQCOY8OYPv8ASCBjlVK0TTdpvq9FtuRWo0eTGlyZDTAwXAlSVBsHh6cZGDjOMHjWq33UGm7lapMWNoxm3PIIEWSw9tWjjyd4d7PLBzk8iCM1bSu3LTDb6\/kxUtlHXOPI1Lu15UkXW32OX0dds09a7ZL7PGaVLe6xSZsV3PfWsfjpI4AcAOYyMYjitm3uFWzpjDKKtLl41zlHlKUq8oJgpSlckiKUpQCrO+RO22qRFT5y2zt9o4j9Yq8opW1G5StqRxzyx66J4eQRBXVHybLD5J0CJzidr1xdLvLiEDupHrHBSh6lVzmu1KuGsGrbb+Pa5SUscOHfVw9wJx7K7SssBi12mLbY6drMZlDTY\/qpTgD9Vc7vBcYpxprrqz2HdO146sq\/RbfcvqUpXkz6AKUpQHyRUL\/KHt300KcqOp1p0BKsDOxSFghXv4D9fIGporXOkO1eWdJS4zcbtEgI3sAHB3j0evGR6848aprQ4oF1vU5c03sc522BDuExCpKdy0L3NK2pJQrGMgkHaccMjBxwqRbNbOzRpCW7ldgl5vYoducIxz4Ak7Tn8ZODjhyJqO7atUaY6y4nY8hZSpCk4KFA4II8CORB4itnm6jTEZSy44lpOOKyQOGOfH7OOa4k3KM8I9LRUJQTkiy1NH0naLkzOvMOVOeZbKou9tyY8D5u5KcE7hyzg49XOsz0ddItgvMNZjOFh2OssuMPtqbcbIHDclWDxHHJ4H08DWuap1DaZyI7bbKZUoLCWQgFSwSRkDHEZ93Ljwqm9pBUuGy9NtqVvLRsDqgpsoGTzKSFeONpJB8CM1JLKzLcSks4isrqXN417oPUV7l2O5JVcI7W9p7ERx9knOCCpKSlODwzkEH0VnNOWuCqAjqpVzSyUfQKTNU2CjwICcc8cvf48Ndumn5VtjROtte6C00AuK00A2gYHLHoH4uDmsk\/rS1uI8nsK7O8gBKcgBKT4Jx+sgch6Kw046RyIyi\/5lxe9P2t1e19lcrGFASl9owc8+\/nljmDwrWrmU9pTFSlWxeMgEknj\/oVlHL25Jjbu7u4A\/1uHP388GsZp+PMu2oY8eNHXIkOuApSCATg5JycDgBnJOKzS4pS1I3EowjoTz0UwVRtLJkPp+mkuFa\/HHHGB\/Vzkj1Gtxq0tbHZLdHj7UI6tpKdqeScDiBV14mu5TjwxSPM1Z8c3LzPqlKVMgKUpQClKUBgdc3fyFpW43PdhbTR6rPIuHuoH3iK431O\/ukoj7t3VIyeOTk\/8sV0L8oq9Jah26ypc29YoyX+PJKRhOfaST7UVzTKdU9JW8r+cUT7P+lew7v2\/DTdR9T5z3ou+bcqktor+ylj11tOm9b3SxW1Ntah26dHadL8cS2CssOZzuTgjxyfSDnBGa1avK786UaixJZPNQqSpvMWbHadY3623ifdm3GJD1w\/720+zubd9qeHIHA4jA4cqy2mdXPTekq2X7UcxpplkLRlKCltlHVLAASM8yr1njz9GjV6qqZ2tOSemuNy2NxNNam3X\/X2oLpAlWtTkUR3llLzzLAbckIzyWfWOBwBkcDwJFZqb0gSLXZ9PRbFIgyez2xpD7b8cr6h9IAyDw7w5ZyRUbV7UXZUm1pp5GVdVFnXczbWqLsnyypxxEhd5bDUt15JKiP6uCNuBwAwQAMAcKyky9x43RlC03EndokSpK5M1IzhlAIKW+IHMhKjgkAg8eNagOdBVkraDa065MKvJJ\/YVukbpHvCGY\/bbbZrnJjgBiXLi73kevcCPtAB8SSeNaXSpVKFOr\/JFcKsofxZsCtXXxx68vPuMSF3loMSlOIOQgA4CMEBOM4GQatVaguXke2WttSGUWt5b8V1pJDiVqVuyTk8ieGAPfWIpRW9NdF\/uhLnT8zefnS1R+TbNy2yh49lwXcjGVYUOI8MYHq5Vi7frO8QnrI8w3EzZWnGY25tRCkrSAd\/eGeXDGPfWt8KcKgrWiv+KMu5qPqZSLe5jFhuFkbTH7LOdQ48SklwFBBG05x4ccg0sF9m2LtarellK5UZcZTqkkrbQrns4jBPDiQeQrF15VjowaaxvuQ5ksp52Mrpu+TrBMekREsu9fHVHeafSVNrQrGQQCPRzz+2qj+o7g5GsjKkx9tlOYuEEFR3JV3+PHikcscM1h6c6xyKbecGVVkljOhtELXV+iX24XVhUbdcCDKjqZKmF4GB3Sc8B6DX3ctfX64PW56SmCo22T2mPtjlIz4JICvNHIAYOOZPOtTpUfZaWc8KJe0T8zdtEalbtt1v+qJcpCLi\/Hc7PFSlWHnnV7vX3UkZwTyPDOK12yXudaXpj0bYtc2K5FfLwKiULI3EYI73Dmc+ysXXo51hWsMt+eA60sL0M2vU926mzJYcRHVZULTEdZSQsbsZ3ZJCsgYxgAg4IOayF919qC92p62yewx2ZBHaDGj7Fvf2jk+jPDH2cK1SvKl7NSynhaGOfPGMmzTNaXiTYlWlSYDKFsojuPsxUoecaT5qFKHDaOWABw9pzrQryvalCnGn\/FYIzqSn\/JnlKUq0rJgpSlckiKUNYm4XdKfo43eVyLnMD2f8T+upQg5PQrqVYwWWX02ZHjI+kVuV4JHM\/wCvSawE6dIlr73dR4IHL\/Xr\/ZVstanFqU6rconJJ4k14edbtOio\/c5tS4lU06G99BNjTcukJNycTlNuYLhPhvUdqQfduI9aa6RFRp8nyz9i0cu5Ot7Xri8V8sHq0dxI9hwpQ9SqkuvC9rXHOupeS0R9m7s2fsvZ8E95as+qUpXNPQClKUArzFe0oDmrpRg+SekW5p81MhaZbZ48QvmfvBQ91a3rG1quENmZEUrrsKQQSerPLwH7cVNHygNOKn6bTqCI3ul2pKluAfjsc1j+75w9AB9NQxZ7kl9ns6lK6rgeHP3+yuPcwcKnEd2zqqdLhZh9KQbxbZnY3PJtted\/27cXFueGACBt9HHj66ka1afvzCFqRq9CFK\/8WM5hWeeDv4+rA+ysU\/Cj3RHUutqUrmFIJBHDmCMVasaV1g59HbdTS4rI5BTbajz5A7f25NQhVi3qjowjGEcYf+DK3LT1+tbK50LUSXnuJyUlpCh6zuV+sH35zUfzbZeLzJ7dOVbULQsgdnSord9BUeAGOeAD\/kds\/glqZ15LN71BLnR2zkpJQAfugfYTg+ur96PHt7Kkq28BgZwB7aSqxz8KI1IqX2Mc\/b0wocaGlxSldWNyjgZPPPurcegSJ2nW0qUnvNQoZGfALWoAfqC\/9ZqNrvekuvOqbVtwMZz+qp3+T7Yja9FeVH1JXIuqg+cHOxsDCE596lerfjwq+zptyyzm39VKHCiS6UpXUOKKUpQClKUB8nGcV4TwzXp4n2Vr+vrx5C0fcbolQStpkhrPIuK7qP8AeIqUIuUlFbsprVI0qbm9kjm\/pqvvlbVN0kJVlAc7Ix\/ZRkHHqJ3n+9UajiayWoHt0lDO7d1SePrNY3FfSLSkqNJQXRHx+5rOvVlUe7Z5SlK2TXFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoCYKozJTcZG59XPkBxJqxuF2S39HE7yvyuYH\/H9ntrCrWpS1OLUpajzJ4k1o06DerNGtdKOkdWXE+4PS+6ruo\/JHj7atKUrbjFJYRzpTcnljwqvDivTZbEOMnL0h1DLY\/rKVgfrIqjit+6CLP5S1wiY4nLNuaL59G9Q2pB\/3iPWmta9rqjQlPyX9nQ7JtHd3dOkurX4OgLNAZtdqi2+MnazGZQ02PQEpAH7KvRwpSvnMnl5Z96pwUI4Wx9UpSsExSlKAUpUe9LXSFF0lbVxYjjS7s42VBGQeoTjgtQ9J5AeJyeIBBylkw3g+JV7\/hfrDVOi40jqoNstrcd95HEqkv78j2ISgDAPErUDxSK5rvcC5WC8SbPNT2eXDXtKPBY8FJ9KSOIPo9Fb58lKe5J1DqpUlxS5EgMSFKPErJW7uV7yrNS10o6At+t7UPNjXeOg9ll4\/wBxWOaT7yOY8QabilxbdDZtqvLeH1OerNqpLUZcd9SWpA4AeoDn9niP8qzEDpD7Iz9OlW45B58Dj\/ocf8jWnaq0tfLFPVbb7a1gg9w4BS4PykK9f\/XjWCct8VW7dHVuxjJcUSft\/wA65TjCL1OyqsmtCSZmu0yVpUpzbnwzjaP9cfbWvXnUjl03NxP5EE5dPHPDwrW27fFUvamHuTnON6iOX+hitp0jpC\/aouSINriq2gDe6rg20j1\/8BnPKspQzpuYnKeNXoWlitcy7XJmDEjqeefWAG0jJUc\/6yfD3ZqetX6gc6MVaPlKUl21KcRabucHzdm5Do9GxQcPjkKI54I2no+0LadGW3qYn8auLoAkTHBhavUB+Kkege\/NRb8r+cljRNtg\/jv3IOjjyCG15P8AvCurb0nFZZxbmsqjwuh0My4lxCXG1JW2sBSVAghQPIj9tVa51+Tn0rR026LpbUMgNBACIcpauCR4NrPgByB5AcOAArokGrWsFCeT2lKVgyKUpQHzUNfKRvKW4lusiVDvqVKfGeSUjCQfaSo+1NTIo4Ga5K6Z76bvqy6Sm1ZQHeyMf2EcDj1E7j\/errdi2\/NuU+kdTzneW65NpwLeWhHz7nXvLeV+OSf+XuqnSle9PmgpSlAKUpQChO3zqVt3Q8M9JliB\/wDHP\/sVVdapy6cp42RdRp8ypGHmakKVI8PT+nndMsKctCTLVpiTdVSO0Ogl5pzCU7d4SElOQoYyc5BSQSctqWBY39Q3m6T9MNO2+NYo8uH1Tz7KJKtrA4L3EFKdxSdgHA8cniOa+1Y8WOFnT8Jm454kRF41ULT3Vdd1LvUb9nWbTt3YzjPp8cc8VJI0rp5dlakPwuxW5yzxpab12hZBlOOgLZG5Rb4DcNu3cnYSSc1tSNN2Xq4WnrhYE2+2OaqkNttmS7mSgQ3Qy7uUvI3KSkDaQkkYA4nMJ9rwWyZKHY83vJbaEEZqowy5JeSyw2p5w5w22CpR4egZPpNSQ3o2HGsLLztkek3wWNuV5MUp4LfdMgoWooQsLBQjBKEkEHmAeFZuxwI8x\/QLHkTycjrrozJciyJCHGHEF7DReS4DuONx45IB24QSk5n2tDGYpkY9kyziTS0IYpUlM6WsnkCPIdtm2M5ZIstF269z6eYtwBUcd7q+W5O0JC07ck8RVr0h2GxwLVcJlrtyYbsLUS7YCH3XA411O\/Kt6j3gQcFOBg4IJGTZDtOnUkopPcqqdmTpwcm1oR9SpD05Dg3LozgRZMCOhv8AhOhibNSV74zK0I+kKt21Gd2wEjZyON3eNn0h2GDa7Wl7yQqxzvKcmOiL1ziuvjIxsf8ApFKPPKdySEq5gAVKPaMXU5bTzlmH2dJU+YmsaGk5SrzVJpn0VMiIUfULNk\/hDHudlhpmxIa7VKcKIUnuKQFxSNqhz3KI4HcOJq1tugoLdtiJlaeeeuarXdJRiKedSp1xl9sMJISoY7isYGCoK48cEVLtaC\/ktS99jzb+BpoiXwqopl5LLTjja0tO52LKSErweOD445HHKpda0TZVOr7PplUyUH7WiVBEt7ELrk\/To4L3HbwVlRJTnJJSkg+TLDZ7jbLFppjD\/WovjFmkKfVgPolZaJKSApKkp4kggkgjFY8Xp50T9ftgz4NNJ5ks9CH6+2W1PrU3GSp9QBUQkEkADieHo5k+FbRdo+nonSei3sJSmwxrgzHkKeUohSULSl5aionukhZ4YAHIVu8M6nb19eFX1mc7ZENTuyNOKUmOpsMudWlg8gkt8O5yGCeOKuq3\/Ak0t1nX9erKKPZ\/HJpvZ4IdNVFNuJYQ8plaUO56pZSQleDxwfHHI45VKth0RZ7jd7bITa43Y5NstsuVG6yU4W1PrcS51YQsKSjuZK3FKSjxCgeH2\/puysWcJlRZE5u3QL6+y0\/Me2b48xCEHCVAJyngoICd2cniARS+16ecKL9S1dkT4ctr0Ijrytj1\/bYNrvqG4Efs7MiDHk9RvKw2XGkqKQVEnAOcZJPrrXfCupQqKpFSXVHLrUnTm4PoeUpSrCo2+lKVg86KUpQCugfk\/WbsGkXbm6na7cXiv1htPdSPZwUR6lVAsGK5NmR4LPF6Q4htv0FalYGffXXFlgs221Rbez\/JRmUtp9gGB+yvN94bjhpxpLrufQO41jx1p3D2jt9y\/pSleRPqApVtNmRYUdUibKYjMp5uPOBCR7ScVFGrunnSttQ6zZG5F4kjISoDq2M+tR4n3JIPp8aYBL5NaZq7pN0Xpnc3cLwy9IHDs0X6ZzPoITwT\/eIrl3W3SZqrVbz3bbo8zFWf+6MKLbKU\/k4GN3tUST9grSFu\/i\/8hU+EiTZrPp\/v1062LpuGizxs4D6iHZCh\/wC1HrACiPAioiuNxccjPKfeUtbqyp1SlElZzzJPPPPJq181HnchWHucnrV9WnzeXtqS0JYJY+TJdkxOkhTaldyZDW36OO9JFdfRx9ClVcN9CzqmNeWlTXnFS0j7hP8A8a7jgq3RkqT5pAIqLMMoXi1W28w1Q7lDZksq\/FWM4PpB8D6xg1EmqeilyI8qRZ2UTYx\/mlYDiP2bv1H21edPnTE30dQGI9utr9xuUgqTvCCWIoSMqKyOBUAchGQSBkkAZrmGN0ka01FqSPdHNUTpVwLjqWWC+pltobeCgElLaTxVjGCCjiTkZrnZxrr4iyjd1KL+BZXrsdCaV6Lplwkpcmx\/J8YHipSPpFepIP7SAPbUzWKzW+yQEwbbHDTSeJPNSz+Uo+JPp\/yrkLTHTXrjS8i3pYlXDVKHxtet80hasleElt0AucQUDvZGTjHInqbQusoOqYKFdlkWy4Y+lgS9odQfVtJStPrST6wDwEYWUaHqyVa9qXH8lheRnZbyW+7XL\/yt7jFm3uy2mMrcqPGdee9RWsJT\/wCxRrpt9rzlK841x18oOX2npXuzafNhBmMPR3Wwo\/rWqthI1+pHdskKY3sq+z1VKXR703au0yzFtqnI9zt0fCAxKBC0oH4qXBxGBy3BQHIADhUVSEKV9InurH6x6KoJcS13tyU+r0VjBJnb+g+mLR+qvoXJRs83h9BPUlAXn8hecK9mQfVUihW5O5P\/AFr87oL6X2UqSpKknn6jW\/6D6UNWaS2s2+5doiAYESXlxpI\/q8QU\/wB0geo1jhGTtWvKhnRnT7p+6PIi6ghu2Z48OvCi6xn1kAFOfWCB4mpdgTYs+GzMgyGpUV5AU08ysKQsHkQRzHsqODJhukW8+QNGXO6JVtdbZKWP\/wAxXdR\/vEVxrenNzyWfBtPH210D8pe9pS1bbClXnKMt\/jjASClOfaSo+1Nc4vudY8XFfjkmvY937bgoub3k\/wCj5z3ouubdKmtor+z4pSlehPLilKUApSlAK9Pe86vKUAwn8n10CU\/kp+wUpWOGJLjkNqd+7b3vT415tT+SPsr2lY4YmeOR5sT+Sn7BQpT+SnljkK9pThiY45DCd+7and6cDNAE\/k+rlSlZ4UOOQUEg7ttVocR6XIRGhRnZEhw4Q0w0VqUceCU5J5Z4CqY5mto6JZcWD0iWabOlMxo7Tyy668sIQkdWvmTjx4cTzqqs3CnKS3SLqCVScYSeE3qYKNabi\/MegxrTNdltBRkMMxlqcQAcEqSASMHgSQMHga+bXcJdtRL7E8GO2xlxJHcSesaXjcniDzwOIwR4EZqYtNaosLU203rytFaueoWv+2g44hKWCxEcb72T3OsdKFDON2OGedYayRdHt6Wgdum2GTK661OZIitqSC8BIQoD6VQCD3y7wPEgAAgcfxFtYnT00\/8ATsPs6Kw4VNSNm50xNnetKXP4k66l9bOxJCloBCTnGeGSMA4PiDX1ZrjLs90ZuNucTHlsncy51aF7DjHJQIOM8MjgeIwQDUjL\/grcJJcS9p2G5Gn3JDIajxQHmEpT1CcLw0SrBCHHMg+JNbFBtej1XSVPhRrHJadnxI7DfUR3WpbnZCVR0FX0bZKyFFTeSCMEYxSfaVOKadPda\/olDs2pUacamxBh3ecrOfEkkkmvkJT+Snn6BUlzDpeNot1l2HAXczbpCJgzEbeZn71d4Dg9gEAJS2C2UkgjmRlrrcNHpv0tqNH0l2du929thaYsYpMRSE9oUOHeTnIKjkJycEEAi3xHK0gU+GrOtREPFKVfip9PIc\/TX0hvctKUp3KJAAAySfAD9lSmr+AbFieSyza5P09zRIHaIwcA6xXZ1IW6etwEBBR1OQTncCTSRP0qwia4wnTzS4LdodhqYZZLinCoCTjAJcwkkqTxAKQcA5JeIt7Q\/wB2MeHJJN1CLXWlMPKZdSpCwSFpKSCk54gj\/jXzWx9JT3adbXaQ29b5DLslxbC4amShTZWopJLXAqI4kq7x4Z41rddO3nx01J9Ucu4hwVJRXRilKVcUG30pSsHnRSlKA37oKs\/lLWyJak7mbegvH0bz3Ug\/aSPWmujxUa9ANn7BpFdwdT9LPdKhw4htHdSPtCiPUa3jUdybs1huF2dTuTEjreI5btqc49\/Kvn\/a1xz7qWNloj7d3YsvZOz4J7y1ZcXKfDtsNybPlMxY7Yypx5YSlPtJqEekLp7ixutg6Qj9od5dufSQ2PWlHAq9pwPURULa91pftV3JT15nLeSDllkd1tr1JT+rJyT4k1qq11oKJ6Az2qtV3zUkxUy93KRLXk4ClYQgehKRgJ9wFa+t1Sv2V8qFfJFSJYBVVvLSl9lTKkpUkjBHpr7cVVFpzrUe8g\/bQzgoRovZkK2yJCknk0VlSU+zP7M1Rf8APq+cO7u1ZyE0Mm39E0hMbXmnXleb5RZaPsWrq\/8A5V2TMkXZ+1JtNiUhqSB1b8tziiMPQn8pz0DkPHjgHhe1yXI2yUx58dxDyR6SlQUB+qu+NNSW5zPbIydsV9CVtYAACFDIrDINGmXTous8uwuwZO6QpwZeLpJ60+JV6T455g8a5Q6V9ASNAa2iJk75FnuDhdYlNJy6kJTgtEkhOU4BA4EjjnwrvIqSl5SVbUpx48sVxt8qPXtt1FMSptPVWmBDdNuWEIcVMfdIAWcEdWg7eAOSAMlOVYE6SbZly6Ft0MKZk9NOjId0eira7LKRCSFNktu4cVhYT3gSQspC+JBBHDGOoLlom13aemc1IkRXmDlD7CtpB9I\/41xH0cvyNMrtmoGraiU7pydvS4ywMPkhauqW5wypQKhknICMgHYBX6A2OfDu9qg3K3q3xJsdEhg8soWkKB+w8alVWuSCfQoW8XqIyI902zmQQBKZGHCP66P8059lcQaruHlbU94uilbu2Tn3gePFJWcH7MV3NrK4ps2lbndlebChuyPuIJ\/bXAbCVJjIS53lbBn24qtEkjw1YzbRBmvJckt7lgY4qOCPWP8APFXyk7kbfTVBtqQwvb56P95NDJXhtNxmUssJS0ByAGKuUqq1fWpO1KfOJx7B4mqqDQiXKHa2DSWsdQaXmdosl0kROOVNA5bX\/aQcpOfSRn0Ec61gGrq2tdfMab\/Fzk+zxqylTc5KK3ZVXqRpU3OWyTN815qadqaY7erklCJEhttvqkZCGwE8QM55nccEnBVzrUSc1eXZ3c8lv0D9Z\/0KsxX0K1pKlSUF0R8guazr1ZVJbtnlKUrYNcUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKxwozxMVf2263e3IW3bbtOhIc\/lExpK2gv+0EkZ9HGrHiaVGdOE1honGpOLzF4Z5SlKlwohxM9zXlKVnAyz3NeUpQwKUpQG30pSsHnQauLfEcmz48NhOXn3A0kekqOAD7eFUa37oJs\/lLWqZjidzMFsu+reeCQftJH9mtS+rqjQlPyR0+yLR3d3CkurX4J+ssBm22qLAZ\/kozKG0+xIAH7K1jpvkdn6Lr13tqnWg2PXlQyPszW7AcKiT5UV1TB0NHh7u\/Lk4A9ISk5\/aK+dL4pZZ95hBQhwo5Uk957d6eFUVCvpau5u9BzVNxVTLD0iqazX0DVNXKhIprFW7Y6p7b6eNXJ\/zq3l91aXPQf+tAfa6ovJ3IqtndXw6O5QFSD5iq7i6FJva+i7S73nLXaWA6fStKNiv1prh23+NdcfJVn9r6LojKlblW+VIin1Df1g\/U4KwyLNs6Ybkq09GOqLkz\/LNW15LXgd6k7R+tVcJdIVuVNhot9teivJak9YJZSpsqQGzwwr8U+gpyVAcQK7P+U7IVG6HLilvP8YkRmFEfkl5JP24I99ctEbmUpc8opsJlPmOShKlb9iefJO\/HUBeCMA5GeAOzQXwshJ6mIsrkdyAzITH2dU0yuXFkScdpdyAvYE4O088AlSUlR3HmOwvk\/S+v6HLC55vVJfjpAOdoQ+4lIz6gAOdclPJkdSyq4dcy81Ha7C0YgAdb3ZBzwynBKgohW7kTjBrqP5Mj7kvoxQ5J27hcpeQEBABU5vPdGAkZV5oAA5AADFSrr4URT1L35S108m9DN2SlX0s0swx6wtxO7\/cCq4+Ue5XR3yxrhttWmbOn+fkuy1DjybRsH\/3f1Vzi7WqtixHwmvuvlIr4kL6hlTnoHD1msoyUz3pn9VA2+\/xqsDVvGG1lO7ziMn21XrDIn2DWb000n6aUrw7g\/aawANbOwjs1nab\/ABiOPtPE\/Zyrsdi0OZW4vI873luuTacC3l+ig6vrHlOK8TmvilK9sfNRSlKAUpSgFKUoBSlKcQwKUpTIFKUoBSvcV5QClKUApSlAKUpQClKUApSlAKUpQClCfxaUApSlAbfSlKwedFdCdAdn8n6TVcVJ+lnOE58diMpA+3cR6jUCWyK5Nnx4badzr7gQkekk4H2nhXW1lgt220xYLP8AJx2ktp9YAxXmu8Nxw040l13Pf9xrHjrTuH\/xWn3L41zj8rmd1l4tNtT\/ADEcun2rVj\/410ca5H+UpP7X0izm095LGxr2bUDI+3\/OvJx3PqDIpI85PpGKpqNVAe\/Vq+rbJW368j7KsJlYKr4JrwKpmgPapvI3I21UTQhNAWsY\/i+jga+3h3K+HPoJKVfir4H1EVUcoDyH3V10Z8jW5f8A4lsu7zHWJiB6lpU2f\/tornFjz6lX5MN18l9McSPu+iukV2KR4bwOtSf\/AOvA\/tVhkWS58ruQlvo9tjG5Hfu7SilZI3hLbhIGPcTxHAEg5ArmwdnS95QVHirQ+t4CI08sFoY7pPNW1JWCjJJV1ZBJ4k9B\/K+e2w9KR2OvVKNxW9HS00FlS0oAAx6e\/wAAAcnhjjmufXHVb+0JUmRKfbfEpL0VJDZUSNwPEbjnIUAkoPAeBrct18JVIIZcTJZhpSpdwdcj9kdZlpw2VcQnhnvHcgDvJLZSQRnIHTfyXVqd6MZDjilFZu0kqUs5KlkoyrPE5OSSSck1zE43F7Yq0tSreplbqFdueZcRtGw5HIqS3lRChtJJQCOHPpr5Kq0udFaPo9mbo\/niSVYKePj6hwwOFYuP4mI7kX\/Kpuybh0qJt6Vdy1wGmSPyXFkuH\/dLdQ+6dy6zutbuq+6wvd8c73bZzriP7G7Df2ICR7qwJ7y61UWH0Ks5CuvmJZT5rQKles+Aq4lOdQypz0DP\/KqMFrqkblee4dyvbWQVUV918iiqwCvbWu0zEN\/i5yfZ\/rhWwz3Nz+38kfrrHaXb770pXh3Af1n\/ACq5WrctSvSc17LsShwUeP5v0fOO891zrrlraP7PmlKV3DzQpSlAKUpQCsvo5puTq+xx32wtl25xkOJUAQsF1AII8QeRB5isTWV0g+3G1fZpT7iWWWblGccUo4CEJdSST7BxJqi5zypY8mbFrjmxz5onLpA09BRZNYqvGkLHabZb4wcstxjobaddd2eadpz5+E4wkEHGDzEbas6N3LBbYTytQRJc24hnsFvQ0UvSFOKAxjJwE5HHjk8OHM43pfuzd413d5ES5Km28vJMcpdKm8dWkHb4c8jh41snSFqq3J15pK92yVHuLVrgx+vDKwcKStRUj0BWPTyOK4NvSuKEY8L\/AJJ5WPT\/AOnpLmtaXEpuUV8OEnkpL6JJW821vVdje1GlrrFWcOYc5btu7PPbxwUgeOQONZq1W622v5PdwldotTM+Y8+3IMqNl3eEqT2cHIKXRtBBPAHjjJzX1Gc6PoOu19IqdZl5nrVy0WsRz2nrlpIKOecZUccAOIBOBk65qLUkK6dEkhtUmOi6SdRvXBUMOArQhe88ue0FWM4qDncVnFSy1lZ0x\/j7EowtaClKKSlh4Wc59SOqmbontch\/oqm3C06StGobsi7FsImstn6La3kBSiMYzkccAnODUa6wt1mtN3RFsd5TeYxjtrVIDewJWc7kY4+o+rODxBreej\/WsfSvRhujTmvKbV+RJMQLAcej7UJWMegjcM+B4+Fb3afFWt4umnlvbU0OyVTpXUlVaSSPjXmho916Xl6c0izEYSYqJEtIV9DEXk7xw5AZQdoHNYGADwtnui9hyy3e72nWdousa1xVvu9kRuJUlJVsICiE5A4KyQfRw45WLedIae6Vbs8zcEPab1DCcQt6IdxiLdIKsgZI7wUcAcAtPA7TVSxRtFaQ0tq+GxreFdp9xtTrLCG0dWjGxYSBxIUsk8geHvydD2i6pxiot7LGm\/mb8bW1qzlJpbvrt5aGI1Vp+53WydHNugRLd2m4wFpZ6hgtqIAbUS4rJzgHcSBzCzg5wLq29DqbhdHbZC1zY5MmMg9sZaQVOMKHAjaFcQDwJJBB4EZOBmpOo4+lWeia8yWyuK3a3kuhIyQhbTKdw9mc+sDA51U0BH6P9K64kX9PSBFlokNOiKwUFBbCyCesWSe8OAAIBJyccMDCubiEPgbW+MLOXkm7W1lU+NJ+euMLBiF2O1K+TkzM8tQUvdsMoK6vvKc6s\/xbOfO9fq5VFkKM9cJ8e3xk75El1DLI9K1K2jPvNbeq6wPmIi2btrPlEXrrjG3DrA3sUM4548M06GJNlterzfb7Mjss22M4802pQCn3dpCUJB5nG4jHiB6a6FvKpSo1ZPLeXhHNuo0a1elBYSwss3npa0xpn+A8hnTkZkXHSjrDFwUhkBx5C2k5Urb53FQUSeRSv11H+jNDO3+yyb7PvMGx2aO51PapWSFucO6lORnGcZzz4AEg43fSXSdYLpeptvvWlbTZYl9acbuU1p3BWSlRys7RnJKhk8QVZ9NY6xos146M3dIXm8eSG7Xc3Hod2MdS4UoZWk9\/gnjuVgZBwUkZwRWjTrXFvSdOWU8p530e50KtC1uqyqQw1jGFpqizc6JpSXdPJTqODJavslxpl+M31jaUJQtaV7sjduSnlgYJxk4ybJXRpLe1enTVtvlunSWmluz30ZDUFKVbSFnJyr+rgEHnwyRI7K9P6XtHRslN4S9bI8+W722QkspWC27lYCuSCtYCTxBBScnOTo+lNTWGNrvWMO7SiizaiVLjmaz3tgW4vasc+6Qo8QDxIJGMkSo3l5OMpRbaSeNPX\/oV7KzpOMZJJvfXbQoTejFlOm7vf7XrO0XaHbY5dJiJ3FawCSg94hHIYOTnPIYGaDPRlOk6wtNhg3REiNc4AnMzwwoJS1gnJTk8u6OfNaa2K1M6O0roTWNtja1iXi43GCEoDbfVoUAF7AniQpZJJIBOMgYHM\/GnekONa+h4ssPNI1Pb98C3uHBcSw6tCysehIAA9rafTUlc3nC3Bt641XpuQ9kscrjwtM6PJpf8C5jGnL5d5slMbyTPFuEfq96pL+4BSE8RjGQc4ORnHKtjZ6I5CZMK1z9W2O33ySEK8mOLy4lBPHBB7ygM4AGCQQDjjV\/0xa+tl2RptVgSyUpdRdpjIPASO7tQsj8YDeCPWDV9PVoDUOvoOv3NYpt4XIjPyLc9HJeS63sCRnPdT3U5VggAEg4IIy7q84FKWVnOy66YRiNrY8xxhh4xu9MFlA08mwaF6S7TJdalvW8xkCQGwknIB4A5xzxzqI6mTUGpLA\/C6TksXWIs3J6OYQDoPXhKUglI8cEccVDdb\/ZfMkpynu2v0jn9rqlHgjTxhJ7fc8pSldQ4ht9KxrctxPr9tV0Tk\/ziVD2caicR0JIkzoLtHlDWSZbictQkl055b+QB+0kf2a6LqN+gKz9g0mq4OJ2uznCr17EnAH27j7DUkeqvAdrXHOuZeS0R9n7sWXslhBPeWrPo8q4n6YZHX68vT34xnPY8e6FkD9ldqPOJbZU4rzUgqPsArgjU8xU66yJSvx3Crx9Nc+B6IxR5VZ3IbZKHPSMH21dZqzvx2xkuJ\/m8Gpkj7Sa9Jq2YXuRVbNAVkCva+EmvvNAUJjXWRlJT53Me3NfEd3r4yXPT\/rFXR51j0\/QTFN\/zTuVp9ueIz+ugLlA79ZrSV1TYtYWS+eamFOYeV4dzeN\/+7urDYr4nJ62G636UEH2UMM6H+WJKU7qrRlpYSrtS25LrLvaA2GzvZT44HHmFbhjHjnhDMdTyozzlt7UhQhntyuvwlxCnEjlwOwktApJUSRngOCc30y6o\/hbJ0C8\/Iioec0y09Ifc3Hq3esdbcT3cnapbRBGCSUp4gA1qkZbcmN138UZ7M2gdUSre+dxyRz7wzxwUjaOAJznbofxKZLJkH1bl7U+UmbCuU6pnKUuHrEtj+yhTgCmwojGEqzjkDPHRFeXNO\/Jtut6dT1TsYzVsjbtyvAS16M5UU4JySDnPGufnyyla5zsVlMeR1\/VsMyeLJA7ufOXtSVJIC+KgnGTxIkPUFzlW35Otl0\/JUvtVxvUkvJU5uUGWHNwTnJ4AhkAA4AGBwHBcbCO5F6U9VGab9ACa+AK+3Duq2nPpjRlOK8P1n0e\/lWqWlu+vtMxLP4rWFH+1jgP86uCas7a0pLKnHFd9w5Ptq7rBE9Sqvl1xKUd70fqr4WdtLcx2m5Ms\/i78r4fijj\/yqdGDnJRW7ZVXqRpU5TeyRtMNvs1qab\/GIBI9Z4493Kviq0pe5e30ftqiOdfRLemqUFBdEfH7ms61WU3u2eUpSrygUpSgFej\/AFwzXlKArIRHV50jb\/8Apk1ctRrar+Vuikf\/ALVR\/wA6sK9qOH5k1JLoZZEGwq87UC0\/\/wAco\/8AyqsLdpv+lC\/8MX8dWumrS5fb3HtbDzTCnw4rrHQooQENqWScAnkgjGDxq8d0peHZkePa2fLKJMbtMd+ChakuN7ikkgpBSQobSFAEHhxyM6s6tOEuFzwzchTnOPFGGVkeTNM\/0se\/wlfx19eS9L\/0wd\/wdfx1ap03f1W124pss8w4+\/rnuoVhvYSF7vRtKSCPDBzjFVWtJaneZjyG9PXIok46hQYVhzKSoY9OQCR6Rx8RUXVp\/U\/tGVTqfSK3krS39MHv8Ic+OgtWlf6ZPf4O58dV5mgNWsdkS3Z5ckyYwkbWGVEtAqUnar+t3c+jBHHjViNK6lVMjwf4PXMSJDReQ0YyklTYxlWCBgDIBzjBIB4kZjGrSltV\/RJ0qsd6X7LjyVpX+mS\/8Hc+OqsODpmJJZmRtaLS8w6h1o+RnDtWk5BwV+GPEGscnTeoVQJExNjnlmMVh1XZ1YbKD3wrhwI8QcEcc8ji4vWlbza9Uq04qGuVccIKUR0KUVhSN3AY8OOTjA2k8hmsOVOT4eZ+tiSVSC4uX1\/s2DWV2t+rp7My9a8U8WG9jKU2RaEIBIzgBfjgZJyfcAKwfknSv9Ml\/wCDufHVKbpS8QtPy7vPjmE1FmJhKYeQsO9YUBeSMYCcEHJIznhnIzftaAvbvZOqS0pMmyqvDRyrHVgAlHLz+KBjl3hx51XGdClFKM8LpsWzVerNuVPLe5a+StK\/0yX\/AIO58de+StI\/0yX\/AIO58dWTOmdRuQI9wTZJxiSCgMv9QQlZWsIQAf6ylAD054Zr7OlNTpuSbaqxXPta2uvDHZ1burz52PQDwyfHA5kCruZD6v6NfgqfS\/Zc+StK\/wBMl\/4O58dbLo7UjGk0Os2fpCWiM6dy47tjU4grxjdgqyD6SCM+OcDGqR9JapfXJbYsFxWqM4EPgR1fRrKQrafXggkeAIzjIqinTt9VGhSk2WYWbgoJiOdQrDpPm4P9bmPSOIyBVdSNGquGdTK9cFtKpXoy4oU8P0ybLq25W\/VU9M6+9ID0paE7UJ8irShsZ4hKQoYz4niTwyTgYw3knSf9Ml\/4O58dWtw0tqW3w1zJtgucaO3s3OOx1AJ3cE8ceJ4eonBwSBX0dJ6nTMRDVp65iS60XUNmOoKUgEAnHq3JB8RkZxWYcqnFKNTCXlgxUlWqycp08t\/cuPJOlf6ZL\/wdz46eSdK\/0yX\/AIO58dW9401d7TZI91uUNcZl2U7F2LQUqQtsA8c4597HHjtPqzlJ3R\/eGJlwhtvRpj1ugiXITHS4dg3Abe8kZz3lBQyFJSSDyzh16aw+ZuZVGo8rl7Fn5J0p\/TJf+DufHTyTpT+mS\/8AB3PjqyY07fX5KYbFnlrkFx1sNpRk72iOsH90qAJ5DPrq\/uGir3EW1HTHdky3HkMCK1HcLiVKjofOcpA7qXACCcggkjHGpOrTTw6n6Ixp1Gm1S0KEq2aZbjPORtVLkPIQVNs+S3Ebz4J3bztzyyQcc6wVZSRYL4wzMeftE5DUJwIlKUwoBkkAgK9GQQfYQeRGcWTwrao8ONJZ\/Bp185WY4PKUpV5rmXq9sEJy5XiLDYTuW64Egek54D3nhVlUnfJ3snlDWHb3E7moaSrj6eQH2nI\/s1qX1dUKEp+SHZts7q5hTXVo6IskBu3WmNAa8xhpLY9YAAq+8c17XlfOG8vLPtUIKEVFbIwuupHZtE3qR+TBex7dhx+vFcJza7V6aZPZujW7K\/LbCPtNcTyDuqUVoWIoJFUbq3uhr9hq4SKt746mNbXnFeCDj1mpEjDWV\/rIafVkH21kCute009\/LN\/jFe\/7azgNAXKDVVJq2bNV086Aq4q0uTCn2dzXnoO5Ht9Hv5VdDnXqhQFpEdS+ylxPv9R9HuqspPcqzP8AFpm3+ZfJI9S\/Ee8cfb7avvOoDXLa4pOpFxZciR2QtFSUjCgleDjAJGElR44PAFRwTwO5de5GWh6SpKZUYsIZYeipwW0pJG4HAwMIGFA7wvJJAOdTmhmNe2XnG9+UFAIVt2nhx8c4xjHDOeYxW6RDcI0\/6Dygm9xnV7ilYUW0NI72MZO5O1eTkpCU+ABNbVLYqZbLU213t0GQqS0QQUrBir6zmnzQFAJyCNyQleOeQPmVPU\/Dt9nSpDrNmclspdZVltxbkpxaloPDKSNmDgZAzgcqrMlLcbqWHJSLe6GG5rxipIbXndgHJ5bVFI3JKgniAM1jojSWkK2q3JySDjG4Z5+\/nild6YMRWp9LrXbtI7TPTHT5jSwpXEc88B7hxrJ6hnpt8NTm3cokJSPFSzyH\/H1VZWKFtQlT\/eWSVun8pfjWsSMglTKUeclP94U65n8rd7ATVwUpT5tUnVVgyy2efT+Klf3SKy+k293XSlJ24w0M49p\/yrBvrrbLaz2a2st\/jYyv1E8T9nKuz2Nb8244ukf2ec7zXXJtOBby\/RUUdy91eUpXtT5qKUpQClKUApSlAe0H+vXStn6PHoLb98bnyI7LT9ndaT1zgRuWXGu6M44kBRwOOB6qprVOXFyxkuoUuZNRzjJjdLXbyFfo907KmV1AcSWS5sCwttbZ7wzjgvOcVsdl6RHLUvscSyxBZ1R0MJg9cpRRtdU5v6xYOVFa1E8MYwABjNZB+BoSTcpHYocFpMd24MR4zt4UlqYppTfUKW4pWUJUFOkYUkKKQM8STl7x\/BOewqHImWxYadSY8RF0wy44i3MJShTwIIRvC078pyU4JBJrjVrmhWnmVNvK\/R3KFtWoxahUSw9DATdfR3bVBldhalX5s3AmQpa0pi9oVjISODmUEjjyIBOc18w+klUaS7OTYI3lCWW1y3xKcHXltlbSSEHIRwXyHj6sAZVy2dHjEmE29HtrvaX4cd8M3pa0RA424XlhYWdwSsJGTwyQDwPHC9HAsMm3PW2\/yI6Yzt0YU4h2T1JUhLEnjuyCMK2AkcMkDxAqKVs4OSpvTH9sscrlTUXUWuf6MfD1k5GtUaCmC1tZZhNZ60jcIshx9J5fjFzB9G3PHNZG39JkqMtbarXFejuvS3XWi4CV9e8h3gSk42lHMggg8QDgi5TC0Uq1ybg1FgoeNoYlojrupKGn\/pesZA6wOFR2owCF4KsEJBCq2TUt70q6LnuVb3mX0z07W5ilFI7bH4pCV81p3Ogcc7OA25BjUqUHLCpN5ev3M04V+HLqpY2NFumu51we62XFQpR7ek\/SYChKZS0By\/ESkY8T4451br1a8vVs6\/OW9oouEYxZUTrSAtktJbUkLGCknaCCOR4YIyDtjTGkbEm8styLY6qZBuYSpueXsMl9nsyRtWRvKN6tvnEDj41huk236OtsOP8AwZc3v9etIKZSHQ61sGFrAdWoKKuXdbBBI2ggZupVLeUlFU2s5WfTcorRuIwc3UTaa0MXqfVrl4siLSqDHiRY77a4oStSuqabZ6lDeVcVYHEqJyTwwBgDLNdJ1wjLDbUGM2yJbMgMl3J6ptptosAkZ2q6pCiQOY5GthsDeiLLqGFcIj1u2R3FdjkKufWrlJMNxRceb3DqVBzakDCTlRATkBVaxoq7NtaNvdqn3bsMSZNghSQob+qWtSZCkpOScICc4B5DNYk6M46U3hY\/syudGabqLiYg677JGZ22KOZoEBD0rtKx1qIjqHGxsOQng2EkgcySAOINJvW3W2c2WfZ2ZdvcS8H2TJWhTpXIL6Vbk4Kdqj6woc8HBGfvFm6PmLwhuA5GXsjSVMsLuiER5K0qT1SVPJeWUEpKydykBRSkAI4ivLQNKu2hVju0e2MNO3iQQGbqViInsKSlaXN2FguJ2gqJTnI4kcIKVs1lU2WYuU8SqIr2vpAsUma7fL7FWm4Q3334MdlDh2F1lLagF7glWSkHvpBTxwVchiWek+4Ji2thVtjKdhrjqkOJUEiUljGwEbe7ySSQSMjgACRVdNv0FJkxI6kxoYYfipeeFyUUyQuItxYVkqDaQ+EIUpI7u45I4YubZE0h1K7fNlQbe1MXb1zYzFxDzbbqRKyhL2Vd0\/Q7+KgjrD3jwIrzbLem36PoWcVzLRVEvsava9YzLeiJ2aKjrYlv7GypayRntQkdYR7QElOeI458Kyd\/6R5l2RJb8lsx25kKVGdQlz8d8o3ueaOQRjac5B4k4FZCBYNMyVPuNwbc7cRFjFVtF6UmGy4t5SF4khR3KCA2QjcrBUrG\/ASKOrLHpiBDvkxiOUG3TpFqYj9e4eseUUqacCiT5jfWgpzxKEZB3HNsalrKaXA8\/wDZS4XcIN8awa5rHVKtTOIL8NllaX1O8HSSoqZZbxyB5MA5znvY8Bm\/ma4U7GZixLQ1EbZgLhsDtC3Sjc+27u3LydqS0kJRnCQTxNbDarlYVdEEOyy7k01IUXS+ypxB6toy297oTgkvJT3kJyMpK8BWMVbyrRodM5Sf+zGnkdr7JFbvPWR5gQE9Qp17d9CpWVnbuTnaB3c1LmUF8EqbxFvBhwrP441FmSWTGT9epkvOdZp+M3BkNyhNjCS4C+uS4hbqgvOUd5pvCcEAZByDwvI\/SdKjTOsjWaMhlxRDjJeUsFsx2WCgFQPgylQUd3HgQRknK2FvRFrv1vkRnIKXlznUuvGeXERG+wglCCVBLieuUtKXFDjggHIBFCz2Xo8VJmJkyoy46SwIWLiAXYxQdz6i461teKgQpBB6s4HVkHca+K13dN4x\/wCFqV1nSqsmAvOuZF0gXaHJtbC03DqwzveUpEUISlKSlGAN4AOFjBwrBBAAGnVv9wtmhG9BdugylvXMxwoLMhsPB7rCOrU11oOAnmUtHwUFkZFaDyrqWLpcL5cWlnGpyb9VeKPMkm2uh5SlK3jnGXrpr5P9kNr0d2p1OHJSs\/3U8Mfe3n2GudNOQXLje4sNhO5S3AAPSc8PtPD312RZYLdttUWA1\/Jx2Utj1gACvM94bjhpxpLruem7nWfHXlXe0dvuX9KUryR9IIo+U9c+yaATBT50x3HuTz\/aK5Idro35VEtT8y329PeDbROPWo8f1AVzm+Nq1e2rVsEfKB+yta1tM3IahtK5n\/OthkL6iNu9XvrUH0ql3jrFeaKEizir7Je2W\/8AxWTn25rZG1VqN7X1WoYivxW3MfbwrZ46+5WGZSL1C6uEKqyQqq6VUTDWC7Sa+gaooNfYNZMFK4x+0w1N7tquaT+SfA+6qVpl9rjblJ2vIJQ8PQsf8eY9VXa+93awUtfk26pmebFfw0\/6En8Vfu5E+j2UBWvrPWoQpKkNfSpG504CQTzPPgOZODwrL21KZNtS2wmOyuO0tani\/t64ZAAAUQCR4JSAVAkkHGRYXhvrYak+kH9lUNLzevtS2ZMhlDsNAaaSGMF0bznKkgd5O4ncskkAAHgANii+hXIz84qVDU9GbVFguuoa6ntIXlxKMlRHAnzlEKKcDcUgnBz8I7qPd\/o4ryYW35KZieyoU+4tXZmEFAZ4ggAYwEncQkAnATxxwziNUTFNRkW+MpSZEnI4c0I8T\/kPWahVeWI7GMeWq7Xjrv8AZY5KGfQpf4x93If862Bhvq0basrPFTGjIbSnalAwKvlq21WSweOLq1cVXr7tWjr1BguLc12m5Ms7e7ncfYOP6+Vbc4rcawGkGt3aJivUhJ\/Wf8qztey7EocujxveT\/o+bd57rnXfLW0f2eUpSu2eaFKUoBSlKAUpSgFKUoBSlKxwkuJilKVnBjIpSlMDLFe5rylMDiFKUoMilKUwOJilKUwMsu7dcbla3lOW6fMgrWMKVGfW0VDOcZSRw9Rqk6\/KcZ2OyHVoDinNqlqIC1Y3LwfxjgAnmccTwFUqVXyoZzjUs508YzoeUpSrOEhxHuaA15SnCY4hSlKGBSlKAmb5PFl8oas8oOpyiKCrlwyOQ+0g\/wB2ula\/OLRHyntb6OiOxbRY9MLS6QVLkRn1KOCfQ8B4nwrYj8tLpS\/MOjf0ST+8V877Su1dV3NbdD6r2H2bLs+2VOWOJvXB37SuAPw1OlL8w6O\/RJP7xT8NTpS\/MOjv0ST+8VoHZJk+UpM6vVsj8ZSEIQn1EoH\/ABzUHrSpPeV48fb660jWvTpq7Vd4dul0g2VLzpBUllh0IGOHAFwn9dYKR0l359ZUqHbRyGA2sAf79WcSCN8uzynF9Wn2VjmWOrWtSvGtHGu7t1nWdlt5V\/YX8VfK9c3ZS93Z4PubV8VY4kZyXerHNs\/rPyCD+utkt7vWspVu5gGo5uN3lTlqU+loZ9AI\/wAzV1A1NOiMoZbbjqSgYG5Kif2imSSaJJQurhtf5VRuNaXT6vE+4r4q+xre7fV4X3FfFWEzPEiS0Lq4QuouGurt9Xg\/+mv4q+hr28J\/2eF9xfxVniMZRKqTVldGEyYym3U7klBBz7KjpPSFek\/7Lb\/\/AE1\/FXjnSDeHEbVRbf8A+mv4qcSI5Nws0pTsZ61yVbpUYd0n+cb8D7uRppBMj+EKo8FMpVyL6FxQxgkFOTwHPdnaQR6Dw5Y0FzVNyVMZmJbjIea5FCVDcPQePEV8\/wAJ5\/b+2dTGC\/RtVg\/r\/wA6nCokzD1JcVKSxGeuElzujLq3TzPjn3\/tNa7aO0TZjt0f8984SnH8mjPBP+vGtMumsbpcIzUd9mIlltYXsQlQCyOQPePLnjhX3G1vdGO63Fg\/cX8VYc03kEpJ+iZSn1VaSH6jxev7wr\/Z4P3F\/FVsrWV0V\/MxPuq+Ko8RnJv7jm6rZ5zuVpJ1hcvq8T7qvio3q64peS52eIrBBwUqwfV51ZUkYkybbNH7NbY7Kue3c57TxP2cqu+dRH86V6+oW77i\/ip86F6+oW\/7i\/ir2FHtu1pQUFnCSPn1x3bva1WVRtZb8yXMUxURfOjefqED7i\/ip86N5+oQPuL+KrPH7b1KPdW99CXcUxURfOjefqED7i\/ip86N5+oQPuL+Knj9t6j3VvfQl3FMVEXzo3n6hA+4v4qfOjefqED7i\/ip4\/beo91b30JdxTFRF86N5+oQPuL+Knzo3n6hA+4v4qeP23qPdW99CXcUxURfOjefqED7i\/ip86N5+oQPuL+Knj9t6j3VvfQl3FMVEXzo3n6hA+4v4qfOjefqED7i\/ip4\/beo91b30JdxTFRF86N5+oQPuL+Knzo3n6hA+4v4qeP23qPdW99CXcUxURfOjefqED7i\/ip86N5+oQPuL+Knj9t6j3VvfQl3FMVEXzo3n6hA+4v4qfOjefqED7i\/ip4\/beo91b30JdxTFRF86N5+oQPuL+Knzo3n6hA+4v4qeP23qPdW99CXcUxURfOjefqED7i\/ip86N5+oQPuL+Knj9t6j3VvfQl3FMVEXzo3n6hA+4v4qfOjefqED7i\/ip4\/beo91b30JdxTFRH86N4+oQPuL+Knzo3j6hA+4v4qeP23mx7q3voS5imKiL50bz9QgfcX8VPnRvP1CB9xfxU8ftvUe6t76Eu4pioi+dG8\/UIH3F\/FT50bz9QgfcX8VPH7b1Hure+hLuKYqIvnRvP1CB9xfxU+dG8\/UIH3F\/FTx+29R7q3voS7imKiL50bz9QgfcX8VPnRvP1CB9xfxU8ftvUe6t76GgUpSvDn0gUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoBSlKAUpSgFKUoD\/2Q==\" width=\"254px\" alt=\"supply chain analytics\"\/><\/p>\n<p><p>Using cloud technology, modern digitally integrated supply chains can communicate with systems used by other organizations to ensure the most efficient collaboration between all relevant parties. Logistics professionals use cognitive analytics to manage and understand the big data produced by supply chains every day. Cognitive analytics uses advanced analytics techniques, such as artificial intelligence and machine learning, to quickly process large amounts of data and produce the most accurate answer.<\/p>\n<\/p>\n<p><div style='text-align:center'><iframe width='567' height='314' src='https:\/\/www.youtube.com\/embed\/3d7C4pShykI' frameborder='0' alt='supply chain analytics' allowfullscreen><\/iframe><\/div>\n<\/p>\n<p><p>Predictive analytics uses statistical models to identify patterns in your data to project the probability of outcomes or forecast trends based on current and\/or historical data. This guide provides definitions and practical advice to help you understand the role of analytics in supply chain management and establish world class supply chain analytics. When the data is prepared, analytical models are used to identify patterns and trends. Types of Analysis Supply chain analysis refers to specific investigative actions to better understand your company\u2019s past, present, or future performance. By the end of this course, you&#8217;ll be equipped to apply rigorous analytical methods to solve supply chain challenges and drive measurable performance improvements. In logistics and distribution, analytics supports visibility, routing and performance monitoring across complex networks.<\/p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Strategic use of supply chain analytics can impact a business\u2019s bottom line. Monitoring supply chain operations in real-time helps organizations assess supplier performance and adjust pricing strategies based on changing markets. Supply chain analytics uses data analytics, business intelligence, machine learning (ML) and data visualization tools to turn that information into useful insights. Supply chain&hellip;&nbsp;<a href=\"https:\/\/www.penaz.cz\/?p=136627\" class=\"\" rel=\"bookmark\">\u010c\u00edst d\u00e1le &raquo;<span class=\"screen-reader-text\">What is Supply Chain Analytics?<\/span><\/a><\/p>\n","protected":false},"author":21,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"neve_meta_sidebar":"","neve_meta_container":"","neve_meta_enable_content_width":"","neve_meta_content_width":0,"neve_meta_title_alignment":"","neve_meta_author_avatar":"","neve_post_elements_order":"","neve_meta_disable_header":"","neve_meta_disable_footer":"","neve_meta_disable_title":"","footnotes":""},"categories":[2953],"tags":[],"class_list":["post-136627","post","type-post","status-publish","format-standard","hentry","category-logistics-news"],"_links":{"self":[{"href":"https:\/\/www.penaz.cz\/index.php?rest_route=\/wp\/v2\/posts\/136627","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.penaz.cz\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.penaz.cz\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.penaz.cz\/index.php?rest_route=\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/www.penaz.cz\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=136627"}],"version-history":[{"count":1,"href":"https:\/\/www.penaz.cz\/index.php?rest_route=\/wp\/v2\/posts\/136627\/revisions"}],"predecessor-version":[{"id":136628,"href":"https:\/\/www.penaz.cz\/index.php?rest_route=\/wp\/v2\/posts\/136627\/revisions\/136628"}],"wp:attachment":[{"href":"https:\/\/www.penaz.cz\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=136627"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.penaz.cz\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=136627"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.penaz.cz\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=136627"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}