{"id":1966,"date":"2014-11-24T18:37:00","date_gmt":"2014-11-24T18:37:00","guid":{"rendered":"https:\/\/www.peeriosity.com\/shared-services\/articles\/?p=1966"},"modified":"2022-08-11T23:47:39","modified_gmt":"2022-08-11T23:47:39","slug":"transforming-data-analysis-in-shared-services","status":"publish","type":"post","link":"https:\/\/www.peeriosity.com\/shared-services\/articles\/2014\/11\/transforming-data-analysis-in-shared-services\/","title":{"rendered":"Transforming Data Analysis in Shared Services"},"content":{"rendered":"<p><span style=\"font-size: medium;\">With the advent of ERP systems and a myriad of data warehouses and analysis tools over the past 20 years, companies often find themselves in the position of having plenty of information, but little in the way of actionable analysis and reporting as a result of implementing new technologies. Yet the truth remains that accurate and current data is required to make the best decisions for driving change in Shared Services.<\/span><\/p>\n<p><span style=\"font-size: medium;\">A Peercast<sup>TM<\/sup> in the <a href=\"https:\/\/www.peeriosity.com\/shared-services\/articles\/category\/shared-services-leadership\/\">Shared Services Leadership research area<\/a> featured a large global professional services company that was focused on making dramatic improvements to its Shared Service processes.\u00a0 They had a tremendous amount of data and hundreds of metrics that unfortunately weren\u2019t driving desired changes.\u00a0 Existing <a href=\"https:\/\/www.peeriosity.com\/shared-services\/articles\/2021\/11\/transforming-metrics-for-shared-services\/\">metrics<\/a> were too complex, were primarily focused on process volumes instead of measuring defects, didn\u2019t drive the right behaviors, and often didn\u2019t have the right audience.<\/span><\/p>\n<p><span style=\"font-size: medium;\">When this company considered the data available, they discovered that data was often redundant and in separate silos, with different interpretations of the same data and no single source of the truth.\u00a0 Separate reports were run in each department, with little actionable results coming out of the process.<\/span><\/p>\n<p><span style=\"font-size: medium;\">The proposed solution was to use business analytics to provide a consistent view of data and highlight insights that can drive decision-making and strategy.\u00a0 The new tools provided:<\/span><\/p>\n<ul>\n<li><span style=\"font-size: medium;\">Modeling, data mining, and metadata searches<\/span><\/li>\n<li><span style=\"font-size: medium;\">Exception reports, error reports, control and variance reporting<\/span><\/li>\n<li><span style=\"font-size: medium;\">A single source of the truth<\/span><\/li>\n<li><span style=\"font-size: medium;\">A central data repository<\/span><\/li>\n<li><span style=\"font-size: medium;\">A process that was championed by senior management<\/span><\/li>\n<\/ul>\n<p><span style=\"font-size: medium;\">As a result, key <a href=\"https:\/\/www.investopedia.com\/terms\/k\/kpi.asp\" target=\"_blank\" rel=\"noopener\">performance metrics<\/a> were identified for each functional area, with goals created for each metric.\u00a0 They then implemented a process to review actual performance compared to the goal that was driven by senior leadership, using a simple green, yellow, and red approach to categorizing metric results.\u00a0 The new process created a <a href=\"https:\/\/www.peeriosity.com\/shared-services\/articles\/2021\/12\/master-data-management-in-shared-services-global-business-services\/\">single source of data for Shared Services<\/a> and operations, with transparency via a standard monthly reporting package.<\/span><\/p>\n<p><span style=\"font-size: medium;\">Lessons learned included:<\/span><\/p>\n<ul>\n<li><span style=\"font-size: medium;\">Need senior leadership support to ensure accountability and action once the results are available<\/span><\/li>\n<li><span style=\"font-size: medium;\">Need to ensure that raw data is accurate<\/span><\/li>\n<li><span style=\"font-size: medium;\">Need commitment from all functional areas of the organization<\/span><\/li>\n<li><span style=\"font-size: medium;\">Need to keep reports simple in their construction and distribution; otherwise more time is spent preparing the reports than analyzing them<\/span><\/li>\n<li><span style=\"font-size: medium;\">It is important to know your audience since too much data will be overwhelming<\/span><\/li>\n<li><span style=\"font-size: medium;\">Make the investment upfront to nail down key metrics, and then keep them consistent in format and distribution.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-size: medium;\">An iPolling<sup>TM <\/sup>question for the Peercast<sup>TM<\/sup> asked about whom within the company were the primary users of the data warehouse and analysis tools that were available in Shared Services.\u00a0 For 48% of responding member companies, the primary users were \u201cpower users\u201d within Shared Services who pulled data required to meet internal and customer needs.\u00a0 For an additional 38% of member companies, Shared Services staff and customers independently pull and analyze data required to meet their needs.<\/span><\/p>\n<p><img loading=\"lazy\" class=\"alignnone\" 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NfUiY4dADYCTI4x9K5bTlXgpZQVzE1L2yZHNH1r8l7f4vK6dlgdAJoHJscMEmFbO2oTik+ciX+VuV3ZjslRbbtcUF7XjjFMADQMTI4BZGSysb0y4vbO47EOqtZ+NZsc0TeX8vHUAQBaBSY3oJDeW2N7ZXju98z9CSbH1Weut3PKW2B1AGgMmNwAQQcnY\/IPnYybdzzGQRvSjMnB6gDQJDC5fker9qZJkyNadzw7Kb8RVgeABoDJ9S\/37t3r7ulIKTl\/+sarzA0JJmeSPjyVg2kpAKgdmFx\/QWaXFNREuSX9i7kVweTM0\/StyceCSzu6euBzAKgUmJz1IfZW03zbJ\/1j5iYEk7NcC3anxWTXoUsHgBqByVkTevst8vYPzO0HJmddYfQSADUCk7MapAN3qzJAq7ffbNzkJmH0EgAVApOzAj8\/3N1W6Ze+8Xj0Czal\/X5Ok75MsCkt2H0To5cAqAWYnKXcu3fv7t27KcUXTsa+zNxyYHIDpg9PZWP0EgDlA5MzH9KBq2sp9kx9n7nZwOQGXtO3Jp0OL7t79y58DgDFApMzE9KBSy46b5sdOJgc1Ts\/ZdY0dqBLB4AygcmZDOnAtbTrfNI+scQeZr3xt0cefWiv7wze9sNhs\/\/wp0d\/9fAvvzg2ge5pZ2dnZ2e3autwutuyz58ZOeVPMDklaPa2JNylA0CZwORMgzhcse7G6bgFZhsDsTE7OztRk1v2+TOP\/+fg3\/3hEWJynx0aN\/Qfvz0UMov+QTaKvpeNyW1KgCZtSjjgX4yhSwCUBkzOBMgaXdF5hyw0hllv\/G3oP3774Z7RQqP61mPq7\/7wyMotw6nJ0R7btx5T\/\/DYo3t9ZxwOm\/3Y\/\/017efB5JSjdw5n3mnAbBQAFARMzihIB662uehS8tpjUS9YRRsOjnvk0Yf2+Mzgbpz1xt\/mLf+7s\/vU3\/7hkY1HJ5Ddhv7jtweDZ5E\/9gfOHD7psXnL\/26taliofb4wuQc0+xsMXQKgIGByhiFzTHKrQl1iXraiPQhNztl96h8ee3SPzwyuyR2JcBg+6TE7O7tfPfzLjUcnLPvsmRFT\/sTc22By8sLQJQAKASZnAOJw0bcPWd0eeCZHzIx00bgmJ\/oWOhVl5ZbhMDllCkOXACgBmJwc9+7da+to8Ev7\/Fikg9W14eDYRx59aI\/3dPrv0H\/89uC1mcciHZwvPvfbPzyy8ch47v6HQmY99n9\/vfHIeLon9y2stM\/3o0mb4iFRzf4mKSa7Fj5nI3R2dj711FM6nU6BR+u\/YyofmJw49CbcxYS3+8keeCY36\/WfO2dcRkx5jLx6JHz28Il\/nPfWfx2LdFj22TNku\/PF5\/7w2KP0CDA5ZepUWKkGhi5FF\/Okr\/b29s6bN49+brds2cKupgOBk5OTo6Njb2\/vwoULExISyEYpCyE7G3NMbusNmMnxyjUbI09z4IHJiUAcrqjmxsmYV49GOvSTPj049pFHH9rtPV340o77PTm6Zelnz4yY8hh949B\/\/PbAtZn0j\/6rpEHB5IzRNx55vb29qva5yV\/ECUVfJSbn5uam1+s7OzuHDh1K\/tY2RpqcMURHR9vb27e3t+v1+s2bN+t0uoExOWG5VixOIcDk+JCbcKnFHkevO\/STZj7YafvVw7\/c+NN47g473J777R8eoRs\/PTD2kUcf2u01nfz7U9jsZyf+UfSNA699PjA5o7ThbE5bR5d6fW7Cp+FC0Ve5JqfX652cnEi3IDo6mn7OyasuLi60p0K9sKioaObMme3t7S4uLmRn2icgRrJ8+XJeV4Mbr+nf3A7l4MGDdTqd\/AE3bdrE25\/sI19JsgP3vcQnSDWcnZ2550uPJvUqgWs23BPk7U\/qQ7YMGjQoISFB2D7CU6ZXwcHBQcbkuPAOwiuFXl+yJ9mHNhotjtRQ9Giizd5PwOQe4N69e729vVG5B9k6h4oEkzNea49mNrR09vX1sf6Ym8PYD\/2Foq9yTa6oqOjxxx9PSEigf3A30qhaVFTk4OBA47KjoyPXRZycnMjRyJGF42CiJhcdHc3d0+ABeftTZCpJdiABXdiTGzp0KD0yDd\/U5ERfpZBhQ2oeBvcnlWxubua2j\/CUOzs7n3zySWo2BssVPQjvKtD24bYAPU1anNTRpJq9n4DJ\/RvicKFZ3zF3DhUJJmeSlu5PJ1MuWX\/YTWbUuitC0Vd59+SInfBiGfn5Tw3JxcXl5MmT8+fPb29vJ7GP\/t7n3iLiGQlF1OSIMXDdRf6AvP2FBxdWkuwgZXLCKukf7MkJX+VCmpF0gGSORs+ImBy3DsJT5vbVjClX9CDCMyVOxuvd8oqTqpJUs\/cTMLmf6evr6+xq80n9\/EiEA2S8fvSGyZmmV3emlNa0qm7K5YiV54Wir\/KGKwlCkyM7kD\/IHaDNmzeXlpZSRxH+wDfJ5OhLJIY6Ozsbc0DRmCtVSfJqP5kcLVpq\/6Kior\/+9a9kIzEYocnxTtkYk+OWK3oQYaORnekQpV7W5ET7bQNmdTA5vV6v7+vra+touJy4\/kjEbMgkweTM0Oxvkm6VNqnL54YtOyEUfVXU5ESHK\/V6fXR0tIODA+keubi4bNu27e233yb70AjOPbKUydG7ZcJROFKfbdu2GXlAYf2lKkmwusm5uLhwR1PJMKPoeCy1ECcnJ2FPTtiG3JYXNpSwXNGDCButqKho6tSpDg4OXH\/dsmULtzipKsk0e38Ak9P39fU1tdV4JKxmbhhqFEzOPE3bnBB9S6eBRwsIUtFKOPFEf9+fSA+gqKhoyJAh3GFA3pwFKZPjHnzDhg20L0iLo7MhZA4o3J8iU0k9Z5IFOQJ34ol5JsedUUJqIrU\/nfFPPJhncqKnTLds2rRp0aJF8uWKHkR4FcgV53baeG0iWgGyRabZ+wObNjnyqEB9S\/nZmH\/+FD4bMkM\/wOQs8Dmv+ErN+BwAysR2Te5+Wrj683HLmVuFegWTs1DnI8vhcwD0H7ZrcsThLt5YxdwnVC2YnOU6GVoCnwOgn7BRk+vr6+vobPVK3nA4bBZkiX7w+pC5SWhAnjcq4HMA9Ae2aHJ9fX09PT2+qZuYO4QGBJOzlqKyauBzAFgdmzO5e\/fu9fT0XEt3Zm4P2tAPXh9O3nQDslzTN8enFtTD5wCwLrZlcmRNk+icI4dDZ0FWEUzOinL4JjGrpEFdz88BoHBsyOSIw8XnnT0UOguylvbC5KyqBTuTS++0aNvnuA9UWZ6Ux7qr9VulSlw0k8JNvSdiKyZHHC69xJe5K2hMMDmr6809KfXNWk4pDpOjyDzq3q+YkftNeCJMKm9GoTZhciR7Tm55xKGQWZB1tdcTJmd9vXMorbVdrfkKDAKTo7AyOTOAySkX4nD5VTGHQ188GDITsq5gcv2kD05kqsjneMnPhLmthctc6QWOIkyWJjwyXVtLJkea8DhG5majVRLmS+OuT8Z9SWptKmH1RFPBcTPS1dXVCetD4WV0Ey2aFjp37lyyfJf8JbAkFx2v8mRxL9FV3OhFmT9\/\/urVq+3s7AYPHlxaWkpOVr4xZRLRiabBE0XjJkccrrIu+3DIiweDZ0JW196rMLn+0tcXc3p6elThc9yVHmkeFlNNjgtdiVg0rZrBHGm84xD\/MJibjazFzF1KXyrFjF4iWZ1wN9HqSR1fuAPdws3oJlq0aKEGTc6SXHS8ykutx03bhH5CnJyciIvTtZtFz0gqHSB6cg\/Q19dXoys4FvYKczPQqmBy\/ar9vgU9PT3KvznHG8uiIdJUk+MlS5Na9dhg+hjecerq6ozJzUZNTjRfmp6TjIb3XrsHk45KVU9YHC9kC3egx5RaV5oWLVqoMT05s3PR8d4umj5Q9BNCk+\/QI4iekUn5BWXQssn19fV1trZmvrHA59KaA9dmQv2hPTC5fpbXjYre3l6F+5xVTE6YLM08kxMeR9TkRIvj1Y1bQ14Ql0qTppfwG9HiuCFbdAd6TJ7JiQ6QWm5yJuWiM2hyvN6tvMkJz8ik\/IIyaNbk7t27193dnb\/ly9RJ41InjQvcsfhgkANzS9CeYHL9remb43PLGhT+kDgvMQ0ZqpJK+SZlcsJkaVImJ58jTXgcUZMTLY5WiZcvTTRPm1SaNNHqiRbHDdmiO9BjStmhfKHyl0A43mhSLjpThytlTE7qjIzPLyiDNk2OPDBQefUKcTiikHUvHwqcx9wVNCaY3ADozT0pza3tSr45Z3B6CE35ppcdruQlS5NP0kb2FOZIEx5HarhSWBytEi9fmmgKNGHiNIpo9YTF0T1JQaI7EKSGFrlF043c1pa5BELDMCkXHa\/yekMTT2RMzuAZCTfa9MQTMtmkMTf35rTJXJNLnTQu6o1ZR3xe3R80E7KWdl+ByQ2Etrpld3d3K9bn1PuksAy8ATcVocnLYTYaNLm+vr6OlpbMNxbwHI4oecbEkxcW7Q96HrKKdl\/5YPKmOGgA5BlXptibc9qLqjKjkcpHe5fDErRmcuRWXMGObaIOR3Xh0OL9gc9Dlmv3ZZjcAGn65hvKvzkHgNLQlMmRW3HV14LkHY7Ia8tr+wJm7wt8HrJEuy9\/MPmLOGhg9ObuZIXfnANAaWjH5MituObiopsOM1MmjzdGYe\/MPeTz8r6A5yGzBZMbYG29oOibcwAoDe2YHLkVl7XiLSMdjijW8fkjVxcwtwr1CiY38FLyzTkAlIZGTI7ciivcvdMkhyNKen6Sy7k3fwyYAZmhXZffZx70bU3Tv8LNOQCMRQsm9\/OtuOBrZjgclfvuN3\/0nwGZql2XYHIMhJtzBAXmMVAXtnDuqjc5M27FScnni4X7\/V5gbhvq0q5L70\/6IhYaeG25cKu7u1s5nTmZFGX9l5NFUSanorw5FJicCujr6+vq6jL1Vpz0VJSXDnrPY+4cKhJMjqFib1Wr4uYcTE6xwOSUzr1793p6esqvXLKKwxHdmDPtJ4\/XfvCbARmjnTA5dlryQ3JTS9vdu3dZfxH1+vt+I1zfSzQHmDBPGDexmanp32gdrJWRjvvqoEGDIiMjhauCcc9r8ODBlZWVvNMUrnFlMKeawZbhnqnoSRmTlU303HmnoyXbU7HJkYHKVp0ube6LVjS5lMnjE5+fdMplEXP\/UIVgcmx1OqRAIYOW1OSEmduEK\/ny8oTxEpuJHoRbFi\/9m2h9LMlIx31VL5H9lbfovl6whrJwtWL5nGrGtAy3hsKTMjIrm+i5C09HM6jY5MhAZcGu763rcNypKMwtRPmCybHVtK\/iyu80KmGmJbcnJ+z0yOctE+YmNSn9G68avH3MSNbDy1kqegRiM1x35KUUECZXM36RYqmWoYhWycisbFJJeXinoxnUanJkRqXu5s1+cjiiwPdf+dHHYa\/vdEhKOz3en7QxFmKoz09ndHV1MZ9paZLJyfSB9BIRXD79G8FaGemMMTn6EvUGeZPjJdiTMjn5lqFImZwxWdlkzl2TVqdWk+vr6+vs7Mx8e1m\/mlzK5PERS1844PkKcy9RrHZ6vD9pYwzEVjGZVcwTiBtvcsK1j40xOfn0bwRrZaTjpUOTyspGKz9v3jwytGhwuFLe5Ay2DMXg7wDuuZiaJY6cjoHrrR5UaXL9Md9ERjfmTPvJfSFzO1GmYHJK0JK9SWQGCkOfkzE5vSAHGC9PmJHDlTLp3yjWykjHq6EwK5tMhjmZiSfyJmewZSgGT0o+K5vw3EVPRxuoz+T6b76JvE4fXbzHZzrE0\/fuMDlFSDkzUABQFOozOTLfJH\/ndwPpcEQezq\/v9Z7J3FcUJZicQjTty1iFzEABQFGozOQGZr6JjALef+UHbwfm1qIcweSUI4XMQAFAUajM5AZsvomMIt+YdeDy\/N3e06Hd3jA5ZUkJM1AAUBRqMjk63yR58gS2ipsz7ci513d7T4O+d18\/aWM0pBAt2ZvIfAYKAIpCNSZH55vcnDuHuckRnT6yaLfXNBvX9xdhcsrS6ZB8zEABgKIak6PzTZh7G1dXv1q42+v5XV7TbFbfXVw\/6fNoSDl6aduNhqYWdOYAIKjD5Mh8k8ay0pTpzzE3Np4C17y89+qLuzyn2aa+c4PJKU6ngvO6u7sxAwUAvVpMjnTj8r7\/lrmlier6G7P3e8yuEFkAACAASURBVDgy9xt2JhcFKUpzvolFZw4AggpMjnTjmurqUmY\/z9zPpJQwY\/LR06\/v9Jxqa\/rW7V3mMR0S6lxYPh4nAECvCpMj3bjCky7Mncygzv745s6rU21KMDll6p97EtraMM0SAMWbHO3Gpb70InMPM0ZXvly46+oM5t4zkCY38fMoSIHyTyjBnTkAlG5ypBtX4nGRuXsZr5AVL\/1waQ5z+4HJ2bgWozMHgMJN7udn41pb05csYm5dJin6lZn73Ry\/vzJV8\/r2wrsTP4+ElCn\/hGI8MwdsHKWbXHd3d3mAP3PTMkMJMyYfOfU6cxOCydmyFu+Jb29vR2cO2DLKNTnSjWtvb09fvoy5Y5mtC9+\/wdyH+t3kPouEFKuAhBJ05oAto2iT6+7urk5OZm5UFsrzs1d3XZr53eXnNClnmJyytXg3OnPAplGoydFuXNZHHzB3KcsV8vZLezxeZG5IMDnbFDpzwJZRrsn19PTcSUlh7k\/WUtycafvPvcrck\/rH5K5DStaqA4nozAGbRaEm19fX19HRcfu7b5OnTNSMEp6fcuzoG99eek5L2nEeJqcC5ZbUIM8csE2UaHKkG1dXXJQ8Y2rSlIka07nvNOVzMDlV6LDvrY6ODjwYDmwQJZocSf+dd+Qwc0PqJ\/m+57jTYyZzf4LJ2Y4Wfhvb3Nzc29uLzhywNRRncmQdr5aWlrTlS5m7Uf8p9F9zdrvNdfZ4Tu3acQ4mpw4lZVd0dXXB5ICtoUST6+rqqs6+xdyH+lsxL03f5zrf2WOKqrXDdd3EDRGQ8uXslkamn7D+igMwoCjO5MiTA7n7fmBuQgOjE4fecHafol7B5NSiOVujmpqaMP0E2BrKMrmfcw40NaW+vpC5\/QyY3La97uw+bYf7FDVqu+u6CRsiIFUoKKEISeaAraE4k+vq6qpMTGRuPAMsn\/WvfHfx+R0Xp6hO28\/C5FSjj48nIS8BsDWUZXJkrDJn107mrjPwinjdYc\/5l5mbFkxOw3pu43VdXQNGLIFNoSCTI4\/HNTU1pc5\/hbnlMFHMS9MPnFyw\/eJkNQkmpypdCLvd2dmJEUtgOyjI5Eh+1PKYGOZmw1bHD76x3W2yanQGJqcmrT2U0NraihFLYDsoxeTIisxtbW23vt6SOGWijctj48IdblPZG5hRJrd2wqfhkIpUWK7Des3AdlCQyfX09DQ2NibPncPcY5Qg\/1Xzvjs\/a\/uFyUoXTE5tOuSdiSW+gO2gFJMjS3mVBAUydxflKOx1h12u87ZdmKxoweTUpqW7Y1taWrDEF7ARFGFyZKyytbU1c9NG5taiKN14fsrBYwvZOxlMTlsqq8SIJbAVlGJyPT09DTpdksNM5r6iQJ3c\/fq285MVqtNrx38aDqlLXtG3MWIJbARFmBwdq0yYPAESlfvGV7eff27b+UmK0+k1zEM2ZKq+OZfS0tKCOZbAFmBvcnSsMmvHNuZeomQFLp\/zvavDtnOTlKXTa8Z\/EgapS\/O3RzY04KlwYBMowuR+nle5+A3mRqJwRbw8c\/fped+cm6QgweTUqcz8CjwVDmwB9iZHngG\/U1zM3EJUobgZkw8cWfiN6ySl6BRMTpVyDb6FzDvAFlCEybW3t+d5uDP3DxXp7PbX2NsbTE7N+swlEbnCgS3A2ORIbp3m5ub0Lz6PnzwBMl6XP5m\/w3U6TA4yT3O\/vl5fX48HCYDmYW9y3d3dDQ0NiY7zmNuG6hTw1pxvzzh8fXYSQ31zcs34T0IhNQq35YAtwNjkyMMDlVmZzA1DpYp+cdoel1e+PjuRlb45uZp5sIbME27LAVuAscmRBHJ5Hu7M3UK9ip0x+fD+hTA5yFThthywBViaHL0hl7n9G+ZWoXad2bZw65mJA6+vT64e\/3EopEbN3YrbckD7MDY5ckMuacXyG5MnQBbKc+0r285Mg8lBxutGRjFuywFtw9LkyBNyOp0uftYM5g6hDQX984VvT7844CYXAqlUR7zT29rasL4X0DCMTa6jo6MkLo65N2hJUS9O23X85S2nJwyMtrrA5FSsj366gdtyQNswMzm6ZGWO6xnmxqA9\/fTDazA5yKBe34HbckDjsDS5np6epqamtG1fx02eAFldrlsWbj09eQBMbtzHIZB6VV5ZjdtyQMOwNLnu7u76+vrEpUuY+4FW5bn25W9OTd1yakL\/aesJmJy6FX2zoL29HSYHtAozkyOPgdfU1NyYOSNu0nionxS8cOa3LnM2n5rQT9p6YvW4j4Mh9eq4X3prayvmngCtwtLkOjo6yrNvMbcBzSvyhWk\/\/DQfJgeJauvZxKamJqvnluvs7Hzqqad0Op0Vj9l\/h2VFUVHRkCFDBg0alJCQwP3bkmNqrIksh5nJ3b17t62tLS8oMHbSeGgAdHjva5tPTrC6tp5YPc4pGFKvlu2OMmbuScrk8UJxd3BycrKzs7Ozs9uyZYtebSbn5OTk6Oho3WP29vYuXLhQ3rGcnJxIc\/H+tgSrNJExlVcLbEzu32udHD\/GPPrbjs5vmL\/55KSvTo63oracWMU8TEOWaPrnITU1NQbnniROmSgUfTU6Otre3r69vV2v12\/evFmn06nL5PoDI03Ozc1N+LclwOR4MDM5kg385tdbmYd+m5LXipe+dpnxlct4a2nLcZic6pVfXNHR0SFvcpETxwlFX+WaHIGEWmdnZ9K9I+G7s7Nz6NChZAsdlyPxdPny5aQX6OLiQnbgdq2io6PJRgcHB14E7+3tnTdvHnl18ODBOp1OeARuEbSvqdfrXVxcyD4uLi5kIy2IVk\/0aLwShdsHDRo0atQo8jdpGeG5076vvb396tWruTvTNuS9RbRVDTYR77wiIyPpDtQR5SvPPQL3as6fP5\/UfPDgwaWlpaS23P4or\/V411qqJa0LM5Pr7u6uq6tLXL0yZtJ4aCB1beHMb0\/MsarJXYP6Q2Pe9x30m8d+8dCvnl68n7uFBIVfPvyo\/VoPsv3PoxaQjX9\/aSN9+xOznYb8faIxBUUm55F1T2S+s9fGjRaKuwMJ2TTAkQBNQlt0dLQwhFFfJJGO7FlUVDRz5kwSVWnPprOz88knn6SWwztUdHQ01w5Fj8Atglsu7awQk+MWJHM0XolSNZHpDNE6GN+TI2+pq6sTbVX5JuKdF7erR\/+Wr3xRUdHjjz9O\/qV\/k0tMrriTkxO9s\/jXv\/6VHFzYetwLIdOS1oWNydGplXELHJkHfRtU5PRJew+8+uWJ8ZYLJtd\/emK20\/\/6w18fHjyEmNzYDwOGPDGe+tafRy0Y\/Njfx7zv89Qbe3h\/jHO69tQbe7guKC+PsMyWlhb5CZZeo0cKxduHhDBun4MXSfWcn\/a0l8AzGzsOtHdF+xPCsTgSamlYFz0Ctwga8bkhmJicsD8qejReiVI1EZqc8NwNmhzvLXV1daKtKt9EvPMSvTTylee5Ebl9yLus3L6a1NXkHVaqJa0LM5Pr6OioqqpiHu5tWUe\/XQiTU6xGrDjz8OAhf5\/zOTU50o2jfTVqY7THNmLFmUG\/+aP9Wo8x7\/s+OuQvtP9nUAeuJDc1Nckv7nVx5LNCie4pjID0b9Gf+bywKPxpLx\/BCTRcOjs7C4\/Ai62khnSIUi9rclJdDYNWV1lZyesMCc9d3uSEb+k\/k5OvvNDk3NzcjDE5XuuJ9m772+qYmVx7e3tJairzQG\/jOr9h\/lcnJsHkFKg\/j1rwlwlLiNVxe3Kkr8bt1fF6cqPXew55YvxfJiwxvqzNp240NDTIP0Vw6tmnhaKvuri4cAcGeRGQOyZGo62Tk5OwJ8cN6xTuWJlwLI5Cit62bZvwCMLBt6lTpzo4ONAtxOS4BdE9hUfjlSjsfpHtZ8+e5fmE8NzlTU74FimTk28i3nkRUyFlCXcWrbzUcKW8yQlbT2oIV6olrQIbkyOrVuaFhkRPGg+xlffSOV8fn7np+HjztPnYqnFOQZB1NWLF6UG\/+aP9WvcRK04\/PHjI04v3ke1jP\/Qf8sR4MvjzlwlLeBt\/8dCvnl6874nZHw35+0STilu7L6q2ttaSFSy5UyRIsJPqLtDZFg4ODvPnz+eZnJ4zxsV9Yoxu3LRp06JFi7hxkzsmRmeR8I7AK4KEVG7nhvbqhO+V2WL34OwYqZpwjYp37gaHK3lvkTI5+SYSngWdRbJhwwZyEIOVF514Im9ywnKlXuW1pHVhYHL0+YFbHh7MQzwUPWl8yMsznI\/O2XR8nBnafGwlc0vQmIhpEQ\/jmdyIFad\/9eh\/\/P6JccTV\/v7SRt57749huv951Kskdgj3Eeq1HeHGPEUAgBphY3Lk+YH0Y0eiJ46DlKDr0ybuPTAfJqcE3R9+9B73oMkRh6Om9dQbe0jXjb5xzPs+jw75y9OL99EjcA8lozmbQ6qrqw0+RQCAGmFjciQheOqObcyDO8TViS0Lvjg2ziR9dWTluI+CICuKdsK4DPmviU+9vueXDz9qv8ad7DbmPZ9Bv3ns73M2kn\/HfuA\/5Inxfxm\/ZNxHQU\/M\/mjIf00c91HQiLdPD\/rNH+lbZFRRUYFlmoEmYWNyXV1dtbW1CZ84RU0cBylKFz585atjz8HkFKIRb59+ePCQpxftI3\/\/6tH\/oK72xOyPfvHQr8hL4zjGNu6joKde3zP4sb+Pec+b\/mGwoJz8EoOPygGgRhiYXF9fX1dXV01NzY3lS5nHdEgo73+9uPXY86aYXCDUTxrx9qmHBw95etGP5N+nXt9N+3a\/eOhX3O2\/fPhR+zUXyb9jP\/Ab8sQ43j7ySsrIJ7kIBjIUADAAsDG5zs7O6urquH8uYh7QIVGFOTz37eG5G4+ONSiYnDbkH32LPA8+kKEAgAGAjcn9\/CT4vDnMozkkpYhpE\/ftmW\/Q5L48snLsR4GQ2nUxOK25uVn+eXAA1Agbk2tvb6+oqIieN0d01VdIOTqxZQFMzhZ0wielsbHR6lnlROE+lGZ5chnr5iWwSpW4qChtgjzqPREGJnf37t329vaysjLmERwyRh6r5n55dMrGI2NF9eVPMDkt6Nvz8QYXPbEWMDkKq4w2ZuTPE54Ik8qbUSgbk2traystLY2cMBZShXzfmL31yOzPj4wVatNP74z9KABSu5zPxdXV1Vmy6InxwOQoKkrbBpMzAbKmV2FaGvPYDRmv0NlTnA\/NhclpVTtcY3U6XVdXl3kmx8tzJkwOzlsCStTkRLPNSWVQk0mfZmQaNtHiSJW4SbrJglXcRa24L0ktSSWsnrA4bjY1mkaHVx+KSVn35s6dS1b2kr8EvGOKnpFUO\/MqL7X0F\/eiyCefEz0jYTo6YaEGYWNyLS0t+YmJ1yeMhdSlAztf\/fynsVxtOvzO2A8DILVr04loYnLmPQ\/OTS1Gc9mYanJc6NrEonnp5NOnCY8jlYZNWBwvHYEwNQwtVzTVnHA30epJHV+4A91iXtY9gybHze4mPKz8iRiTc47bJjLJ50TPSCo1oNJ7cvfu3bt7925zc3N2UBDzkA2ZoRNfvPr5T+M\/+2kM0ReHVzAP0JDl+uhQpCXLV\/LGsoSpWIw0OWHGNYPZDETHA41MwyYsjpc9lRtn9fdz9AiLsHswHbZU9eRz6YnuQI9pXtY9Y3pyoqWTw8q3szE550Q\/IcLVnEXPyGBqQCNhYHK9vb1NTU23fH2Zx2vIPLmvemnTT5M\/Ozzms8MwOY3oo0ORd+7cYWtyohnXzDA5I9OwiRbHqxu3hrwgLpNqTrR6BnPpSeXUJpiXdc9Uk+Md1kKT4\/Vu5U1OeEaiG9Vhcj09PU1NTVk+PsyDNWS2\/ObP+Oaww32T84fUro8OXbfQ5OhgFDffmGjeMimTE824JpV8VSZ9mpFp2ESLo1Xi5ZwTpkaTSTUnWj2DufREd6DHNC\/rnvwlEI43Cs9Rpp1NHa6UMTmpMzKYGtAY2JhcY2Njprc380gNWaLgWVO+3\/fyF4dgclrQhwcjLElEYHB6yIb7ecv0ssOVwoxrMn0Rsqdo+jQj07AJi6NV4uWcE818Jpr6jvcSt3rC4uieNIeqcAeCSVn3uK0tcwmEhiGTPE8mTZ2RE08MphGXOSPhRuVOPCEm19DQkOntHTFhLKR2HfziXeYBGrJcVjE5qdkfKkU0i6kq0OTlMBuYHGSRAubPZx6gIcsFk+MhMxqpfLR3OSwBJgdZpNCZM5gHaMhyWWhyACgWmBxkqaZ84Dn2Az9I1driEgWTA5oEJgdZqiUfnGIeoyELte10VHV1tdmzKwFQLMxM7tb1iPDxYyAN6JP3fmAeoyEL9Z1rtCWPEACgWJg9QpATF8c8OkNW0d5VXzCP0ZCF+unKDUtWPAFAsTAzudvpacyjM2QVnVm+nnmMhizUkavxNTU1Zq9dyUWBU\/sUWCUwYDBb1qugoIB5dIasoqtv\/JN5jIYs1Fm\/BJ0FWQi4T\/Wa5ChmJDYzA5icLcPG5JqbmwsLC8MnT2AeoCHLFTB37pj3fSFV60poSm1trdn55Mw2uYFBgVUCAwazVDvFxcXhcxzCxo+B1K6QaVOYx2jIQl0NS62vrzfP5IR50USX+JJKGCaa2IwgtVqY8FDy+dVoLjRuVWUS9AAtwSxpaklJCUxOM5r1wSXmYRqyRDFJmWabnF7QkxMmb5PKviaa2Ixi5KGMz6\/GWykf2AJsTK6tra20tPT6ksXMozNkFS1\/\/xjzMA1ZotjkrIaGhp6eHusOV9K\/pbKvSa0UTDDyUCblVxs6dCj6cDYFM5MrKyuLenct8+gMWUUb393JPExDluhmZk5jY2O\/mpxoF8o8k+Mdyvj8avSwsDrbgYHJ9fX1tbe3V1RUxHzxeej4MZAGtGfVF8zDNGSJCgoKmpqaent7+8nkpNY7NsPkjEztZjAX2rx581SaZACYBBuT6+joqKysjP3WmXl0hqyiU2+9yzxMQ2Zrxga\/wsLC5uZms01Oz8nyJZW8TSo3mKkmJ3oo+WxkNBeaaFo4oG3YmFxnZ2d1dXXCT4eZR2fIKrr8xj\/HvOcDqVQLtwYUFxe3tLTcvXt3IEMBAAMAM5OrqalJdrvAPDpDVpH\/3LnMIzVkttb\/EFxaWtra2gqTA9qDgcndu3evq6urtrY2LSgwZPwYSAO6Nm0K80gNma2tJ8LLy8vb29uxcCXQHmxMrru7u76+\/lZ8PPPoDFlLs973YB6sIfN09HJMVVUVkskBTcLG5MgazXl5eSHTpoSMGw1pQMvfO8Y8WEPmyTMkEXl2gFZhY3J0jeawV19hHp0hq+jzdd+Pec8bUqMSUzNqa2vNXp0ZACXDxuT+vXzlmlXB40ZDGtDulV8wD9aQGXrOySc3N9eSNb0AUDIMTE7PXfRkxzbm0Rmyik4uW8c8XkNmyHGzf35+flNTk9nLnQCgZNiYHH0ePO7oEebRGbKKPF7\/5+j13pDqtGpXEH1IDiYHtAczk+vs7Lxz506Knx\/z6AxZRb4vvcQ8XkNmaNORsLKysra2NjwkBzQJG5Ojj8plpaVdGzca0oACp04evd4LUp0OukdVVlbi+QGgVZiZXE9PT0NDw+3bt4PnzmEeoCGraOb6i8xDNmSqruL5AaBpmJlcb29vc3NzYWFh2DtvM4\/OkFX01vqjzEM2ZKpiE9N1Oh2eHwBahY3J6e\/nBy8tLY387lvm0Rmyijav3cE8ZEMmafZneH4AaBxmJkezysVfdAsaNxrSgH5c8SnzqA2ZpJU7A\/H8ANA2LE2OTLBMj49nHp0hq+j0v1aNXu8JqUjfngorKSnB8wNAwzAzObJMc11dXU5OzrW5c5gHaMhyXV74OvOoDZkkr+AbFRUVyD8ANAxLk+vp6fl5Bcv17zIP0JDl8n3BYdS7npBaNPlDr4yMjJqaGkytBBqGpcmRuSclJSWR338XOG40pHYFTBzHPHBDxuuf2\/ww6wRoHmYmp78\/96SysjLey4t5gIasohffdR317lVIFfryyLXCwsLm5ube3l6YHNAqjE2us7OzpqYmMzMz6PlpgWNHQWrXyncPMI\/dkJE67xtDF\/SCyQGtwtLkaIrw3NzckHfXMg\/QkOX6cs125rEbMlJJyanV1dVY0AtoG8YmR9Y9KSoqijx0MGDsKEjt2vv2J8xjN2SM5m3yzs7ORq5UoHlYmpxer7979y55JDwpOpp5gIYs16klK5mHb8gYfbw\/CI+BA1uAscn19fV1dXXpdLqsrKygha8yj9GQhfJY8Pqod69AytexS9dLS0tbW1txQw5oG8YmR56Wa2xszMvLC\/1yE\/MYDVkonxdmMw\/fkDG6HptUVVWFG3JA87A3ObpSc8z5c\/5jR0Gqlt+EsczDN2RQL37ulZWVRZIPwOSAtmFscnq9vq+vr6Ojo7q6Oi0tLWDqZOZhGrJQL647O2rdFUjJ2nQ4KC8vr7GxETfkgOZhb3IPLGK5cgXzGA1ZqJXr9jMP4pC8vINjsC4zsBEUYXI0gWrED3uZx2jIQm1as23UusuQYvXChqs3b97EDTlgIyjC5O7evdvW1lZeXp5wLchv7ChI1drz9sfM4zgkoy8OBeTk5NTV1eEJOWALsDc5\/YPrewU4zmMepiFL5LJkpf26y5Bi5XUtuqioCEtWAhtBESZHHiRoaGjIy8sL+WyD3xh7SL26+OprzOM4JCWHDVdTU1MrKyuRQw7YCEoxubt377a0tJSUlMScO+c7xh5SrzwdZjEP5ZCUNh4KyMnJwWpewHZQhMnp7z9IUFVVdfPmTb8ZU5lHashs+YwfY7\/uEqRMYawS2BpKMbl79+51dXXV1tbm5OQEb9rIPFJDlshx\/Qnm0RwSymHDFYxVAltDQSbX09NDMhLEXrvGPExDlmjdmj32ay9BShPGKoENohST09\/PSPDziOXSJT5j7CGVasuqzcwDOiSUVxDGKoHNoSCT4+ZQDTt8iHmkhszWvuUf2K\/1gBQlhw2XMVYJbBBlmRyZY1laWpqUlOQzbYrP6JGQGnXqzbeYx3SIp69+wlglsEUUZHJ6zlPhWVlZQRs\/Zx6sIfPk8bIj85gOcTV2\/aVr4TEYqwQ2iLJMjkw\/aWpqKiwsjAkK8h49ElKjPJ+fzjysQ1yt2+mdlpZWVVWFsUpgayjL5PT3p59UVlaS6SfM4zVknpiHdYirC95ht2\/frq+v7+7uRjcO2BSKMznu9JPQQweZB2vIPDm+e4J5ZIeI3txyNSkpqaysrLW1Fbl1gK2hRJPr7e0l008S4+K8p01hHq8hM7R2zS77Ne6QEnTgXNCtW7d0Ol1nZyfGKoGtoTiT0z+YlCDw04+NCanHhj39Hw89ZGdnZ2dn91+\/\/rWH\/XCy\/ZL98D8OGkS2P\/rLX54dMYxsf+VPj5GNnzzxN3qQ9\/42dPzvf8fcHrShzSu\/Yh7cIfs17g6fXk5ISCguLm5ubkYecGCDKNHkyPSTxsbGgoKCaD9fr9Ej5XVl1IiJQ36\/6\/\/9t9fokR72w\/84aNCb\/+dxsn3M73837ve\/I7u98qfH\/uvXv3a3H\/7t\/zzJ+8Nr9Mhv\/+dJ4oIGi4OM0Y\/LPmAe3yH7Ne5bj\/hlZGTcuXMHKVKBbaJQk6PTT1JTU32XLjEpvL7yp8eIsRHD+\/iJv5Ht1MbW\/20o2eHosKf\/96BBZ0cM87Af\/n8efYTYJGQVnXxzGfP4Dk18zz0qOragoKCxsRHdOGCbKNHk9PfXa66rq8vNzQ13u2B8bD067On\/eOghYmykJ0f6atxeHa8nd2Hks2N+\/zvS+YOspYsvOzIP8dD7e\/795ACmnADbRLkmR6efJCUl+fzrn8Z4G7nNRrtu1OfIdmpjdOOvfvGLXf\/vv2nHDrKirj4\/nXmIhwJCIvPy8vDkALBlFGpyes70k1u3boWeP2dkbCVDlNS0iPmN\/t3viKtx\/Y+IjmHSqSjCfSDzNHL1RYihlnx9NSUlpby8HE8OAFtGuSZHk+8UFxcnJCR4L1nsOWqEMXL+7ycf\/eUvzwx\/5sgzT\/3HQw99\/P\/9J93+q1\/8Yuf\/\/IPu6THy2T8\/8sjO\/\/mH838\/+cSv\/9fFkc\/SP4wsC5LRK2uOMQ\/0tqwLXmF0sUpMOQE2i3JNTn8\/XThZyjL0\/DlTTY7+QS3tj4MGUc+7bD98zO9++8afH\/ccNWL9fw4d9\/vfeY4aceSZp\/73oIfpWyBLtGb1LuaB3mb1z61XEhMTS0tLW1pamCxW2dnZ+dRTT+l0OlUclhVFRUVDhgwZNGhQQkIC928zDuXi4rJlyxbuH5Zg3Xa2SpXMRtEmx+3MJSYmSnXmjjzz1PDf\/oZ0v4h1Ucfi9uTW\/+dQbk+OGpvnqBHoyfWHNq\/4knmst1mduxqSlZVVU1NjrQfAT8Q5CMXdwcnJiQz4k3CmLpNzcnJydHS07jF7e3sXLlwo71hOTk40+nP\/NgOYnBSKNjn9g3fmwi6cl4qnL\/\/pj3b3odZF3Itu5zocr5NHrJG3D2Shflz2HvNYb5ta852n1R8APxb1glD01ejoaHt7+\/b2dr1ev3nzZrK6iopMrj8w0uTc3NyEf5sBTE4KpZsc7cyRaZa+a9cwj92QkTrxxlLm4d4GNWadu29Q+K1bt6zYjdPr9QeDZwpFX+WaHIFESWdnZ\/ITk4Tvzs7OoUOHki10XI6YwfLly0kv0MXFhezA7VpFR0eTjQ4ODrzg29vbO2\/ePPLq4MGDdTqd8AjcImhfU6\/Xu7i4kH1oFKYF0eqJHo1XonD7oEGDRo0aRf4mLSM8d9r3tbe3X716NXdn0TYUdpG5f0uZnGibi14d+XYWHsf4S0yrxO2tksanJdITFP0AWILSTU5\/vzOn0+lycnIi\/Pw8x425OmoEpHy5zXtl5Co3aID13k7PpKSkkpIS667jtcdnulDcHUjIpiGMBDsSp6Kjo7lmQKC+SLyB7FlUVDRz5kwS5WnPprOz88knn6Thkneo6OhobjQUPQK3CG65tKdFojC3IJmj8UqUqolMT47WQb4nR9qQehupm6kmJ1qu6NWRb2fhcerq6oy8xNzfEMLG556dEyqVoQAAGxtJREFUaINbiApMjvfMnO\/765mHb8gYXXluMvOIb2ua8t7F8IjInJwcqy\/H7OwxRSjePsRLuD\/zRWMx\/eUuajZ2HHiRUS82jEbiNY2wokfgFiEaT0kUFvZHRY\/GK1GqJkKTE567QZPjnizZwQyTE5YrehD5dhYep66uzshLTKsk2vh6Tg9PtMEtRAUmp7\/fmautrUVnTl0at\/oc87hvU\/rqkHdKSkpZWZnVJ1VuPTNRKNE9ScASDaNFRUV\/\/etfyUYa5ngmJ+wkGQy+eo7BODs7C4\/A8xtSQ64ZyJic1KCZQaurrKzkFip67gNgcqLlmmFywuOImpxoccKm5m7h9oBlGtxs1GFy3M5ccnIyOnNq0cLVh5nHfdvRLCf3iOtRt2\/frqurs\/qzcRuPjhWKvuri4sIdGJSKxdww6uTkJOzJcUMkpaio6PHHHzc4jEaK3rZtm\/AIPJMrKiqaOnWqg4MD3UJiLrcguqfwaLwShUNqZPvZs2e5hYqeu\/HDlbRuZCPZk9saUiYnWq7UTxCZdhYeR9TkRIvjVonX+LwWlm9w81CHyenRmVOn3lv1LfPQbzv64bTfzZs3KyoqBn6JE+50A\/JLXKrDQWdbODg4zJ8\/X3h7hg5YcZ8Yoxs3bdq0aNEibhDkDnDRWSS8I\/CKICbE7bRxHUI4aUJqC29yhFRNuEGfd+7G9ORkpods2LDBmOFKYbkGB5OF7Sw8jtRwpbA4bpV4jW\/M5bMQ1ZgcrzPns\/HzK6NGQArX1ys2Mg\/9NqI5n3rExsbm5+c3NDR0d3djiRMNoKLnJUzCWjNKjEQ1JqfX6\/v6+rq6umpra3Nzc6Oioq6+Mo95EIfktf9f60auugANgE66B6anpyPhgJbQpMn1x4CkPGoyOdKZa21tLS8vT01NDTp75srY0czjOCSjUwv\/yTz624KWfXM5Pj6+sLCwsbERCQcA4KImk9Pf78zV19fn5+fHxcV5f+LEPI5DMnJ7ae7IlRegftWU99x8AsIyMzNJ+m904wDgojKTo0nDq6urs7KyIkJDrzjMujxqBKRMXXpuMnMP0Lx2nvBJTEwsKSlpampC+m8AeKjM5PQPLvSVnJwceOIE81AOyWjcKlfmNqBhLd16KTo6uj+e\/gZAG6jP5PT3By3r6ury8vJiY2O91qy6bD8cUqYWrjowcuV5qD80ef0FL7\/gtLQ08tgAk5Q6ACgcVZocGbRsa2urqqrKyMgIDwm+PGPqJfvhkAK1fpUzczPQqr4\/7p2QkEDnmyikG6eZOYFqOREF1lNRVVKlyenvD1o2NTWVlJQkJSX5H9jPPJpDotr69mcjVp6HrK6lWz3oQKWi5pvIBDhjss\/0E2ZkjBOeyMDXX6pE3mqcxjtKf2TOEwKTsw50DZTbt2\/HxMR4rljOPKBDQu1bspa5H2hPSh6oVKbJmYEmTW5gUFSVVGxydNCysrIyPT091Nvr8nOTmcd0iCeXhYtHrDwHWVffH\/dS2kClMBUZL7VYbGwsTbcmlWKNHo2XZE4vkWaMFjp37lyyDJX8+sWW5K7jposj9efmQhOuyDV\/\/nySJW7w4MGlpaXkTLkLbomWzt0oLFG0JmR5LeHqX1LHF7YDt9pGHsrIppPKvcfdmRYkVSsLUbHJ6fX6e\/fudXd3NzU1FRcXJyYm+u783sN+OKQonZ\/zEnNL0JgUOFBpMBUZWbe3ubnZYIo18i83A5zelDxzBk3Oktx1vLWk6XLGwpWduWsrOzk5EQsXXaGfW7pwo5E9OWFeN6nEbMJ24F1HYw5lfNNJ5d4TbT2pWlmIuk1Oz0mpmpubGx0dfXXZv5iHdYgr9ymTmLuCljR5\/XkFDlRKZWnhpRYTmpww9xjZLrVqM0Emz5wxPTmzc9dx384L39yc18KiyZ4GSxduNHW4kv4tlZhN2A5cjDyUSZdDNCGRaOv102iw6k2OrvVVUVGRlpYWei3o0uyZzCM7xNW4ladHvHMOsor2uChxRqVogBN2XHgmJ9Wz0YuZnJF55kwyOVNz18mbHHfE0hiTE5Yu3GiJyYl2icwzOd6hTG06odWJth5MTpK+vr7u7u7GxsaioqLExMQANzePieOYR3aIauGq\/cy9QRv6YOdlpQ1UEkRTkQlTi\/FMTjT3GHlJmAHOyDxz8unWLMxdZ9JwpbzJSZXO22i2yUmtg2yGyQkPZV7TcXPvSQ1XwuTEITNQ6KBlbGysz48\/uNsPhxSi9Su3j3jHFbJQr33hFh4enp6erqiBSopoKjLR1GJ2sinWyNGE8U4+zxw3s5pMujULc9fRV42ZeCJvcgZL56Wv46Us526XyusmdXxTTU6mVgabTir3nl564glMThwyaEkeD8\/KyoqMjLzq9BHz4A4RbV2+gblDqF0zPzjv7ReUnJxcXFzc1NSknIFKhaCoOetAUWjE5PScNS3Ly8vT0tLCw8MvL36TeXyH3O2H\/7hkDXOTULXGrz131sM3Pj4+Pz+\/rq4Oa1QKgckBKbRjcnrOzbni4uLk5ORgHx+PWc8zD\/HQiYWLmPuEqrXruGdMTExOTk5NTQ1yogJgEpoyuXv37pEnCurr6wsKCuLj4\/1dz7pPHHfRfjjEUOcdZjP3CfVqw95LkZGRmZmZVVVVCrwVB4DC0ZTJ6e9PQuno6KipqSGTULx372Ie5W1dE8eNeOcsZIYWfeUWHh6elpZWVlbW3NyMdHEAmIrWTE7PeXKOTkK58v76iyOfhRhq6soTzA1DdXrB6XxgUDCZbNLY2NjV1YVbcQCYigZNTi82CeXSawuYB3pb1uKVPwxfcRYyXuPWuLpd8U9ISOBONkE3DgBT0abJ6QWTUK75+Fyc\/pzbyGchJvpgxRbmtqEuHTzjHRsbm5ubW1NTo6jnvg3CcKKjJUUXFRUNGTKEt0400ACaNTneJJSEhIQANzf4HCt9s8yJuW2oSN8cuhIVFZWVlaWWySYKyfxiSdG8xSfNRl3phGwBzZqcnjMJhayEEhcX53f+PHyOifYvfmf4ijOQMfpyn0dERER6enp5eXlLS4sqJptow+R4q5aYB0xOaWjZ5PSclVCqq6uzs7NjYmJ8Tpy4OGEs86Bva3KZ\/xpz81CFPtzpHhYWlpqaWlpaqpaVTSxJb0YwPo2Z6EaT0pjpxRaUoquL8VbPonsOGjQoMjJSuOQVr6DKykqDOefMSDXHS7Qmf3aAh8ZNTn9\/EkpLSwuZbBkdHe1z4oTbhLEXRj4LDZhcZ89i7h\/K14c73UNDQ8l0yoaGBjKdUvndOL0F6c0Ixr9FuNGkNGZ66YWVRWtFj6yXWNdRWJDBRZzNSDXHS7Qmc3ZAiPZNTq\/X9\/X1EZ+rqKjIzMyMioryPn4cPjegmjCWuYUoXNThCgsL6+vrOzs7VTTZxOz0ZgTj3yLcaFIaM710HjihyfHyuIpWUliQwZxzZqSa4w2BypwdEGITJqe\/P9myubkZPsdKz71zbPiK05Colm29EBISkpSUVFhYSB4YUJHD6S1Ib0Yw\/i3CjSalMdNL54Ezz+SEBRnMOWdGqjnR+3ywOiOxFZMjky2Jz5WXl2dkZERGRnr9sPfCaHvm0d9GtGjlHuZeokwRh0tMTCwoKKitrVXXAwMEs9ObEYx\/i2huM+PTmOlNGa7kZYmTylTHK8iY4UpTU83JZJXjnR0QYismp+f4XFNTU3l5eXp6emRk5NW9e86Ptj8\/8lmov\/XBii3M7USBWrb1QnBwcGJiYn5+vkodjmBeejOC8WnMRDealMZMLzbxRC8xu5JXljBTnWhB8jnnzEg1J\/Wq6NkBHjZkcvoHfa6srCw9Pf369evwuYHR10s\/evbt0xBXr352Ljg4mCxrolNYsm8AtIFtmZz+vs91dXURn0tLS4uIiLi6d8\/50SPPjxgG9Z\/2LVrB3FQUpVc\/O+cXEBQfH5+Xl6fT6drb25X\/0DcAqsPmTE7P8bnGxsbS0lL43MDouOPCZ98+BREt23KeONzt27dJljg4HAD9gS2anP5BnyspKbl582Z4eLjXsaPnJ084N2IY1B86M2sWc2tRiNY5X7h27RocDoABwEZNTs\/xuYaGBuJzERERPq6u5x1mMfcDbWr8GObuwlz275zacsCD3IfLy8uDwwHQ39iuyekF45bp6elRUVF+V664LZzP3hK0qCnvHGVuMww1dvXp3ccvh4aGkrmUuA8HwABg0yanf3AeSnl5eWZmZkxMTGBg4MV33mZuCdrTmyt3M3caVnpu\/ZmjZ6+Gh4enpKQUFhbW1tbC4QAYAGzd5PQPPideVVWVnZ0dFxcXFBTk\/omT64hhkBX1\/tubmZsNE8368IzbZZ+IiIibN28WFxfX19fjaQEABgaY3M+Q9S1bW1vv3Llz+\/bthISEkJCQS9u\/cR09krk3aEZbl3707PKTtqZXP3O94uUXFRWVnp5eWlra2NioulW7AFAvMLl\/Q3yura1Np9Pl5+cnJSWFhYV5Hjp0btxo1+HPQJbrwOtLmVvOAGvZlvMBAQExMTFZWVnl5eVNTU0qyi0AgAaAyT0AyT\/X0dFRV1dXVFSUmpoaERHh7ep67vlpZ4c\/A1mo4\/McmbvOQOrjnW5BQUFxcXHZ2dlVVVXNzc0kPxwcDoABAybHh+QT7+zsbGho4E65PP\/yXOYmoXadmT6NufEMjCauOfXjicvkUYHbt2\/fuXOntbVVFRlQAdAYMDkRiM\/RKZdZWVlkyqX7x05nR41gbhUq1qgRzO1nAPTqZ66XrvqEhYUlJSWRRwXa2tp6enrgcAAMPDA5ceiUS5JSPCcnJz4+PiQk5MrBgxi6tEQz3z7I3IT6T\/YrTm7Y7RYQEBAZGUkmUtbV1eFRAQAYApOTg065rKmpyc\/PT05ODg8P9\/X0dFu1krlbqFRL3v5u2FsumtT09ad+OnM5ODg4Li6OTDPBREoAmAOTMwCZitLe3l5XV1dSUpKRkRETExMUFHRp186zk8afGf4MZJKcln\/B3I36Q\/\/6ytXT2zc8PDwpKSkvL6+6uhrTTABQAjA5w9CpKE1NTZWVlbm5uYmJiWFhYT6XLp1\/fSFz21CXti1Zz9yQrKsxK086H3YPDAyMjo5OT08vLi4mq5mQm3BwOADYApMzCnqLrrW1VafTFRYWpqWlRUVFBQQEuG\/ZfHbcaObmoRbte30pc1uyol786Mx5D6+QkJD4+Pjs7OyKigoMUQKgKGByJkCfomtsbCwvL7916xaZjeLp4nLupReY+4cqdHyeI3NnsopGvu3ynvN5f3\/\/iIiIlJSU\/Pz8mpoa+pwAHA4AhQCTMw0ydElmXd65cyc\/Pz8lJeX69ev+\/v5uTh8xtxDl6\/T0acz9yXI5fnrmuOuVoKCgmJiYjIyM0tJSshxlb28vHA4ARQGTMxkydNnT09Pe3l5fX19aWpqZmRkbG3vt2rWrR4+4vvzS6WefhiRlP3zYshPq1YRVLjsOXfTz8wsPD09MTMzNza2qqiKLdWGIEgAFApMzE\/rAeHNzc3V19e3bt5OSkiIiIvz9\/d13bD8zZRJ7O1Gqnn9rP3OvMkMjl594z\/ncFU\/v4ODg2NhYMseE+6A3HA4ABQKTMx\/apWtra6utrSUPGMTGxoaEhHhfueLm9OGZsaOYO4oCtWS5M3PHMlWOn5w+feFqYGBgZGRkSkpKXl4e6cB1dnbiQW8AlAxMzlK4DxhUV1fn5eWlpqZGRUUFBQVddXW9sOod5qaiNDm9tZG5aRmv6e+e2nnEnYxPJiQk3Lp1q6ysrK6urq2tDXNMAFA+MDkrwLtLV15enpOTQ0YvAwICrhw\/7jr\/FebWohxtW\/Iuc+syRiOXn\/jwu3NXPL1DQkJiY2MzMjKKiopqampaWlpwBw4AtQCTsxr0Ll1raysZvczKyoqPjw8LC\/Pz8\/PY+f2ZGVNPPfs09MNrS5kbmEEt2XTW9eLVwMDAqKio1NRUOj7Z0dGBO3AAqAiYnDUhXbre3t7Ozs7m5uY7d+4UFhamp6eTG3U+Pj5un35yeuwo5jbDVkfnvjJs2XHFasmmM6fOX\/b39yfzJ7Ozs8vKyurr69vb2zE+CYDqgMlZHzp6SR4br6qq4t6o83J3P792jS1b3clpU5k7mVAjlx9\/Z+tZYm9hYWE3btzIzMwk8ycxPgmAeoHJ9Rf0sXHejbrr168HBgZ6XrrktvGz01MmMbccBrIfPmzpceVo5FvH39l61vXiVWJvcXFx6enphYWF1dXVdP4kOnAAqBSYXD9y79494Y26W7duJSYmEqvz9vZ237H97MsvsTeegdXzy\/Yx97ZhS4+PWXFi\/XZXN4+rtPeWkZFRUFBQXV3d2NiI228AaACYXL\/Du1FXU1NDrC4pKSkqKuratWu+vr6XDh9yXfTGyWefthEtWb6Drb1NWHnivR3nLl7yDAgICA8Pj4+Pz8jIIL23xsZGcvsN45MAaACY3ABBb9QRq9PpdKWlpbm5uSkpKTExMSEhIX5+fldOnTy3csWpsaOYm1B\/66O3Ph+29BgTTV\/n8sn3rpeueAYEBERERCQkJGRmZhYVFQntDQ4HgAaAyQ0oXKtraWmpq6srLy\/Py8tLS0uLi4sLCwsLCAjwvHjx\/Ccfn5oyibkV9Z+cF68ZYG8bs+L4W1+d3nfC3cfHJzAwkNhbVlZWcXHxnTt36LMBsDcANAZMjgF0ALOrq6utra2hoaGqqqqgoCAjIyMhISEiIiIwMNDHx8ftqy\/PvraAuSH1h\/YvWPTM0mMDowUbTm3dd8HT09PPzy84ODgqKiopKenWrVvFxcU1NTV49A0AbQOTYwaxOjoDs7Gx8c6dO8XFxfR2XXBwsJ+f31U3twtfbjrz2gKXZ5\/WjI7OmdPf3jZtncvH37uedbvs6+sbFBQUERERFxd38+bN3Nzc0tJSnU7X3Nzc2dkJewNA28DkGENnYJLn6ri361JTU+Pi4sLDw4OCgnx9fTXldlMmPbP0aH9o\/Mrjb20+c\/SMh7e3d0BAQGhoaExMTHJy8q1btwoLC6uqqurr61taWmBvANgIMDlFQKyOd7uusrKysLDw1q1bKSkpsbGxfLdb+KrLsKfUK+t62+TVx5d9dXr7gQteXl5+fn4hISFRUVGJiYkZGRn5+fnl5eU6na6pqYnMK8FzbwDYDjA5ZcG9Xdfe3t7U1KTT6crLywsKCrKysrTkdi8u32OhsY1ecWzBhpOf7XJ1cfUg3nbt2rWIiIgbN26kpaWRYck7d+40Nja2tbV1dXVhXgkANghMTolwxzDJ5BR5t\/O8dOni99+5rl93au6cEyOfPTHsKeXrrbe+fuZfR82Qw\/su724\/u+\/4RU9PTx8fn4CAgJCQkOvXr8fFxaWmpmZnZxcVFfGGJe\/evYuuGwC2CUxO0dDJKfJuFxERERwc7O\/v7+Pj4+np6X7w4LlPnM4seuPk5InMzUxKny79xHhjm7zq+LIvT28\/cOGC+xUfHx9\/f\/\/g4OCIiIiYmJjExMT09PScnJyioqKKiora2trm5mbesCTsDQCbBSanDmTcrrCwMDs7++bNm4mJiTExMRERESEhIYGBgb6+vl5eXlfOnnXbusX1nRWnXpjN3Ni42r541TP\/OiIlh\/dPLPni1Lvbz+w+4nbW7bK3t7efn19QUFB4eHh0dHRCQsLNmzezs7MLCgrKysqqq6vr6+uJt5FhSXgbAIAAk1MZom5XW1tbVVVVWlpaUFCQk5OTnp6enJwcFxcXGRkZGhoaFBTk5+fn7e3t6enpvmeP6\/p1ZGDz1Nw5DE1u36tvUkubtvb4gk9Pvrv9zPYDF46e8fD09PT29vb19Q0ICLh27VpYWFhUVFR8fHxqampWVlZ+fn5paWlVVVVtbW1TU1Nra2tnZyfpt2FYEgDAAyanVnhu19HR0dra2tTUVFdXd+fOnfLy8qKiotu3b2dmZqakpMTHx0dHR4eHhwcHBwcGBvr5+fn4+Hh5eXl6el69etV9z56Lu3e7rl939t21J+fOOTl3zvFhT\/WTTr4w+9S8l1yXLjm58cst+9wOuHh4enp6eXn5+vr6+\/sHBQWFhoZGRERER0fHxcUlJibevHkzKysrLy+vuLi4srJSp9M1Nja2trZ2dHTQuSTotwEApIDJqR76+AExvO7u7s7Ozvb29ubm5oaGhpqamoqKipKSkvz8\/Fu3bpFOXnx8fGxsbFRUVERERFhYWHBwcFBQkL+\/v6+vr9D83HbtOvfhB6T\/d\/bdtWeWLCZGKKozSxaffXct2dl1\/bpzn224uHu3+5497gcPXr16lXbRAgMDg4ODQ0NDiaVFRUXFxsYmJCSkpqZmZGTk5OTk5+cXFxeXlZVVVVXpdLqGhoaWlhY6Gsk1NngbAEAGmJx2oEGfGF5vby81vJaWlsbGxtra2urq6oqKitLS0sLCwry8vJycnMzMzLS0tJSUlMTExBs3bsTExERGRkZERISGhhLzCwwMDAgI8Pf39\/PzIy4oj6+vr5+fn7+\/f0BAQGBgYFBQUHBwcEhISFhYGPWz+Pj45OTkmzdvZmRkZGdn5+XlFRUVlZWVVVZW1tTU1NXVNTY2trS0tLW10R4bmUWCThsAwCRgcpqFGh53VJN4Xmtra3Nzc2NjY319vU6nq66urqysLCsrKy4uLigouH37dnZ2NjG\/1NTU5OTkpKSkxMTE+Pj4OOOIj49PTExMSkpKTk5OTU1NS0vLyMjIysrKycnJy8srKCgoKSkpLy+vrKy8c+dObW1tQ0NDc3MzsTRyg41010iPDcYGADAbmJxNwO3k0X4eGdskztfR0dHW1tbS0tLU1NTQ0FBXV1dTU1NdXV1VVVVRUVFeXl5WVlZaWlpSUlJsiJKSktLS0rKysvLy8oqKisrKyurq6jt37uh0uvr6+sbGRjJbhGdpdNoIxiEBAFYEJmej8GyPOJ+o+bW3t7e3t7e1tbWaQltbG3ljR0cHMbOuri6un\/Huq8HSAAD9AUwO\/Buu5fQJuGsKwrfDzwAAAw9MDgAAgGaByQEAANAsMDkAAACaBSYHAABAs8DkAAAAaBaYHAAAAM0CkwMAAKBZYHIAAAA0C0wOAACAZoHJAQAA0CwwOQAAAJoFJgcAAECzwOQAAABoFpgcAAAAzQKTAwAAoFlgcgAAADQLTA4AAIBmgckBAADQLDA5AAAAmgUmBwAAQLPA5AAAAGgWmBwAAADNApMDAACgWWByAAAANAtMDgAAgGaByQEAANAsMDkAAACaBSYHAABAs8DkAAAAaBaYHAAAAM0CkwMAAKBZYHIAAAA0i7Ozs93evXudAQAAAM2xd+\/e\/x9u8778dDx3ZQAAAABJRU5ErkJggg==\" alt=\"who primarily utilizes Transforming Data Analysis in shared services ipolling\" width=\"588\" height=\"432\" \/><\/p>\n<p><span style=\"font-size: medium;\">The second poll question asked member companies to comment on the biggest challenge related to the data warehouse and reporting tools that are available in Shared Services.\u00a0 For 45%, the reporting capabilities of reporting tools don\u2019t meet their needs, and, with an additional 40%, the biggest challenge is the difficulty to secure the resources needed to maintain the tools.<\/span><\/p>\n<p><img loading=\"lazy\" class=\"alignnone\" 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\" alt=\"ipolling biggest challenge related to Transforming Data Analysis in shared services\" width=\"576\" height=\"449\" \/><br \/>\n<span style=\"font-size: medium;\">How does your Shared Services organization use data to drive change?\u00a0 What type of data tools are used and how are you measuring and reporting on your performance?<\/span><\/p>\n<p><span style=\"font-size: medium;\">Who are <em>your<\/em> peers and how are you collaborating with them?<\/span><\/p>\n<p>_____________________________________________________________________<\/p>\n<p><span style=\"font-size: medium;\">\u201cPeercasts<sup>TM<\/sup>\u201d are private, professionally facilitated webcasts that feature leading member company experiences on specific topics as a catalyst for broader discussion.\u00a0 Access is available exclusively to Peeriosity member company employees, with consultants or vendors prohibited from attending or accessing discussion content.\u00a0 Members can see who is registered to attend in advance, with discussion recordings, supporting polls, and presentation materials online and available whenever convenient for the member.\u00a0 Using Peeriosity\u2019s integrated email system, Peer Mail<sup>TM<\/sup>, attendees can easily communicate at any time with other attending peers by selecting them from the list of registered attendees.\u00a0<\/span><\/p>\n<p><span style=\"font-size: medium;\"><sup>\u00a0<\/sup>\u201ciPolling<sup>TM<\/sup>\u201d is available exclusively to Peeriosity member company employees, with consultants or vendors prohibited from participating or accessing content. Members have full visibility of all respondents and their comments. Using Peeriosity\u2019s integrated email system, Peer Mail<sup>TM<\/sup>, members can easily communicate at any time with others who participated in iPolling.<\/span><\/p>\n<div>\n<p><span style=\"font-size: medium;\">Peeriosity members are invited to log into <a href=\"http:\/\/www.peeriosity.com\/shared-services\/\">www.peeriosity.com<\/a> to join the discussion and connect with Peers.\u00a0\u00a0 Membership is for practitioners only, with no consultants or vendors permitted.\u00a0 To learn more about Peeriosity, <a href=\"https:\/\/www.peeriosity.com\/shared-services\/\">click here<\/a>.<\/span><\/p>\n<\/div>\n<p><span class='st_linkedin_large' st_title='Transforming Data Analysis in Shared Services' st_url='https%3A%2F%2Fwww.peeriosity.com%2Fshared-services%2Farticles%2F2014%2F11%2Ftransforming-data-analysis-in-shared-services%2F' displayText='linkedin'><\/span><span class='st_twitter_large' st_title='Transforming Data Analysis in Shared Services' st_url='https%3A%2F%2Fwww.peeriosity.com%2Fshared-services%2Farticles%2F2014%2F11%2Ftransforming-data-analysis-in-shared-services%2F' displayText='twitter'><\/span><span class='st_email_large' st_title='Transforming Data Analysis in Shared Services' st_url='https%3A%2F%2Fwww.peeriosity.com%2Fshared-services%2Farticles%2F2014%2F11%2Ftransforming-data-analysis-in-shared-services%2F' displayText='email'><\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>With the advent of ERP systems and a myriad of data warehouses and analysis tools over the past 20 years, companies often find themselves in the position of having plenty of information, but little in the way of actionable analysis and reporting as a result of implementing new technologies. Yet the truth remains that accurate [&hellip;]<\/p>\n<p><span class='st_linkedin_large' st_title='Transforming Data Analysis in Shared Services' st_url='https%3A%2F%2Fwww.peeriosity.com%2Fshared-services%2Farticles%2F2014%2F11%2Ftransforming-data-analysis-in-shared-services%2F' displayText='linkedin'><\/span><span class='st_twitter_large' st_title='Transforming Data Analysis in Shared Services' st_url='https%3A%2F%2Fwww.peeriosity.com%2Fshared-services%2Farticles%2F2014%2F11%2Ftransforming-data-analysis-in-shared-services%2F' displayText='twitter'><\/span><span class='st_email_large' st_title='Transforming Data Analysis in Shared Services' st_url='https%3A%2F%2Fwww.peeriosity.com%2Fshared-services%2Farticles%2F2014%2F11%2Ftransforming-data-analysis-in-shared-services%2F' displayText='email'><\/span><\/p>","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[8],"tags":[],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO Premium plugin v19.2 (Yoast SEO v19.13) - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Transforming Data Analysis in Shared Services | Peeriosity, LLC<\/title>\n<meta name=\"description\" content=\"Transforming data analysis is required to make the best decisions for driving effective and efficient changes in Shared Services.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.peeriosity.com\/shared-services\/articles\/2014\/11\/transforming-data-analysis-in-shared-services\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" 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