[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"$fqgBu0G6eLhf2RXcihhvZt4HiB1wkZGoxLhBWxZYTLJg":3,"$fUtJntsp4J7YAWBRAgw7j0F6Rd1tGppADmkLyoQdXmAU":10},{"tag":4},{"id":5,"tag_name":6,"tag_first_letter":7,"tag_count":8,"tag_description":9},5303,"analytics","a",42,"In the ever-evolving landscape of data-driven decision-making, the term \"analytics\" has become a cornerstone of modern understanding and innovation. Analytics represents the systematic computational analysis of data or statistics, a process that transforms raw information into meaningful insights. This powerful tool is not just confined to the realms of business and technology; it permeates every aspect of our lives, from healthcare and education to sports and entertainment. People are drawn to quotes about analytics because they encapsulate the essence of discovery and the pursuit of knowledge. These quotes often highlight the transformative power of data, inspiring individuals to look beyond the surface and delve into the deeper truths that numbers can reveal. In a world where information is abundant, analytics serves as a guiding light, helping us navigate complexities and make informed decisions. Whether you're a data enthusiast or simply curious about the impact of analytics, these quotes offer a glimpse into the profound influence of data on our understanding of the world.",{"quotes":11,"pagination":251},[12,30,56,80,108,132,150,164,178,204],{"id":13,"quote_text":14,"author_id":15,"source_id":16,"has_image":17,"author":18,"source":24,"quote_tag":25,"commentary":29},1298132,"Do not trust any statistics you did not fake yourself.",3552,4,false,{"id":15,"author_name":19,"slug":20,"author_name_first_letter":21,"article_count":22,"image_url":23},"Winston Churchill","winston-churchill","W",1721,"/images/author/Winston_Churchill.png",{},[26],{"id":27,"tag":28},4295682,{"id":5,"tag_name":6},"**The Backstory**\nThis enigmatic quote is often attributed to Winston Churchill, although its origin is unclear. It's likely from his writings during World War II, a time when propaganda and misinformation were rampant, and statistics played a significant role in shaping public opinion.\n\n**The Hidden Insight**\nChurchill's quote reveals a profound skepticism towards the reliability of numbers, suggesting that even those who collect or present data may intentionally distort it to serve their interests. This tension between objective truth and subjective manipulation is a timeless concern, underscoring the need for critical evaluation beyond mere statistical analysis.\n\n**How to Use This**\nWhen navigating complex data sets or facing persuasive statistics, adopt Churchill's mindset by considering the potential for manipulation: question the source, scrutinize methodology, and critically evaluate the narrative presented. By doing so, you'll cultivate a more discerning eye, capable of separating fact from fiction in an information-saturated world.",{"id":31,"quote_text":32,"author_id":33,"source_id":34,"has_image":17,"author":35,"source":41,"quote_tag":42,"commentary":40},631290,"Discovery is no longer limited by the collection and processing of data, but rather management, analysis, and visualization.",13007,2,{"id":33,"author_name":36,"slug":37,"author_name_first_letter":38,"article_count":39,"image_url":40},"Damian Mingle","damian-mingle","D",19,null,{},[43,46,51],{"id":44,"tag":45},3264720,{"id":5,"tag_name":6},{"id":47,"tag":48},3264724,{"id":49,"tag_name":50},20960,"management-and-leadership",{"id":52,"tag":53},3264721,{"id":54,"tag_name":55},40349,"data-science",{"id":57,"quote_text":58,"author_id":59,"source_id":34,"has_image":17,"author":60,"source":65,"quote_tag":66,"commentary":40},631283,"Use of analytics is accelerating, and that means more data-drivendecision making and fewer hunches. Evidence-based managementcomplements analytics by adding validated cause-and-effect relationshipsbetween policies and effects.",38584,{"id":59,"author_name":61,"slug":62,"author_name_first_letter":63,"article_count":64,"image_url":40},"Paul Gibbons","paul-gibbons","P",54,{},[67,70,75],{"id":68,"tag":69},3264702,{"id":5,"tag_name":6},{"id":71,"tag":72},3264703,{"id":73,"tag_name":74},11460,"change-management",{"id":76,"tag":77},3264705,{"id":78,"tag_name":79},50517,"science-and-change",{"id":81,"quote_text":82,"author_id":59,"source_id":34,"has_image":17,"author":83,"source":84,"quote_tag":85,"commentary":107},631276,"Yesterday’s decision-making strategies are ill-equipped to deal with petabyte information flows.",{"id":59,"author_name":61,"slug":62,"author_name_first_letter":63,"article_count":64,"image_url":40},{},[86,91,94,99,104],{"id":87,"tag":88},3264682,{"id":89,"tag_name":90},92,"leadership",{"id":92,"tag":93},3264680,{"id":5,"tag_name":6},{"id":95,"tag":96},3264684,{"id":97,"tag_name":98},7028,"strategy",{"id":100,"tag":101},3264681,{"id":102,"tag_name":103},7140,"decision-making",{"id":105,"tag":106},3264683,{"id":78,"tag_name":79},"**The Backstory**\n\nPaul Gibbons, a renowned expert in behavioral psychology, is likely the author of this quote, given his work in navigating complex information environments. The era in which this statement was made is not explicitly stated, but it's probable that it was written during the late 20th or early 21st century, when the internet and digital data storage were transforming the way professionals accessed and processed information.\n\n**The Hidden Insight**\n\nAt first glance, this quote seems to be a straightforward commentary on the limitations of traditional decision-making strategies in the face of modern technological advancements. However, upon closer examination, it reveals a more profound tension between the need for adaptability and the constraints imposed by the sheer volume of available data. Gibbons is highlighting that while technology has increased our capacity for information gathering, it also introduces new barriers to effective decision-making, as traditional strategies are ill-equipped to handle the overwhelming scale of digital data.\n\n**How to Use This**\n\nTo apply this mindset today, consider adopting a 'data curation' approach, where you actively filter and prioritize the most relevant information streams to support your decision-making processes. By acknowledging the limitations of traditional strategies and being intentional about managing the influx of data, you can cultivate more effective decision-making habits in an increasingly complex digital landscape.",{"id":109,"quote_text":110,"author_id":111,"source_id":34,"has_image":17,"author":112,"source":116,"quote_tag":117,"commentary":131},631264,"We are moving slowly into an era where Big Data is the starting point, not the end.",1909,{"id":111,"author_name":113,"slug":114,"author_name_first_letter":63,"article_count":115,"image_url":40},"Pearl Zhu","pearl-zhu",1160,{},[118,121,126],{"id":119,"tag":120},3264637,{"id":5,"tag_name":6},{"id":122,"tag":123},3264639,{"id":124,"tag_name":125},10016,"digitalization",{"id":127,"tag":128},3264638,{"id":129,"tag_name":130},63632,"big-data","**The Backstory**\nPearl Zhu, a renowned IT expert and author, likely coined this quote in the context of the emerging Big Data landscape around 2015-2016. At that time, she was likely grappling with the rapid advancements in data analytics and its implications on business strategy and decision-making.\n\n**The Hidden Insight**\nThe quote reveals a counter-intuitive truth: the shift from Big Data being an end goal to a starting point signifies a move from mere data collection to a more nuanced understanding of how data informs strategic decision-making. This tension highlights the paradox of seeking to extract actionable insights from vast amounts of data, rather than simply accumulating more data.\n\n**How to Use This**\nTo apply this mindset today, professionals should focus on developing a data-driven culture that emphasizes iterative refinement and continuous learning, rather than relying solely on the accumulation of more data. By doing so, they can transform their organizations into agile, adaptive entities that harness the power of Big Data to drive strategic innovation and growth.",{"id":133,"quote_text":134,"author_id":59,"source_id":34,"has_image":17,"author":135,"source":136,"quote_tag":137,"commentary":40},631260,"Ambiguity is not, today, a lack of data, but a deluge of data.",{"id":59,"author_name":61,"slug":62,"author_name_first_letter":63,"article_count":64,"image_url":40},{},[138,141,144,147],{"id":139,"tag":140},3264623,{"id":5,"tag_name":6},{"id":142,"tag":143},3264626,{"id":97,"tag_name":98},{"id":145,"tag":146},3264624,{"id":102,"tag_name":103},{"id":148,"tag":149},3264625,{"id":78,"tag_name":79},{"id":151,"quote_text":152,"author_id":153,"source_id":34,"has_image":17,"author":154,"source":159,"quote_tag":160,"commentary":40},631236,"What gets tracked, gets measured What gets measured, gets managedWhat gets managed, is improved.",63481,{"id":153,"author_name":155,"slug":156,"author_name_first_letter":157,"article_count":158,"image_url":40},"Eddie Gear","eddie-gear","E",3,{},[161],{"id":162,"tag":163},3264515,{"id":5,"tag_name":6},{"id":165,"quote_text":166,"author_id":167,"source_id":34,"has_image":17,"author":168,"source":173,"quote_tag":174,"commentary":40},631233,"We abolished every order blank and every form of statistics that did not directly aid in the production of a car. We had been collecting tons of statistics because they were interesting. But statistics will not construct automobiles—so out they went.",2751,{"id":167,"author_name":169,"slug":170,"author_name_first_letter":171,"article_count":172,"image_url":40},"Henry Ford","henry-ford","H",658,{},[175],{"id":176,"tag":177},3264511,{"id":5,"tag_name":6},{"id":179,"quote_text":180,"author_id":181,"source_id":34,"has_image":17,"author":182,"source":187,"quote_tag":188,"commentary":40},631224,"You can keep the Office of Personnel Management records, I don't need Electronic Health Records, give me the metadata, big data analytics and a custom tailored algorithm and a budget and during election time, I can cut to the psychological core of any population, period!",10619,{"id":181,"author_name":183,"slug":184,"author_name_first_letter":185,"article_count":186,"image_url":40},"James Scott","james-scott","J",121,{},[189,192,197,201],{"id":190,"tag":191},3264469,{"id":5,"tag_name":6},{"id":193,"tag":194},3264472,{"id":195,"tag_name":196},6415,"election",{"id":198,"tag":199},3264474,{"id":200,"tag_name":184},35122,{"id":202,"tag":203},3264470,{"id":129,"tag_name":130},{"id":205,"quote_text":206,"author_id":181,"source_id":34,"has_image":17,"author":207,"source":208,"quote_tag":209,"commentary":40},626015,"It's time to wake up and smell the Mutating Hash! Signature Based Malware Detection is Dead",{"id":181,"author_name":183,"slug":184,"author_name_first_letter":185,"article_count":186,"image_url":40},{},[210,215,218,223,228,233,238,243,246],{"id":211,"tag":212},3248504,{"id":213,"tag_name":214},5046,"artificial-intelligence",{"id":216,"tag":217},3248507,{"id":5,"tag_name":6},{"id":219,"tag":220},3248509,{"id":221,"tag_name":222},7778,"virus",{"id":224,"tag":225},3248493,{"id":226,"tag_name":227},11019,"ai",{"id":229,"tag":230},3248503,{"id":231,"tag_name":232},35109,"cybersecurity",{"id":234,"tag":235},3248508,{"id":236,"tag_name":237},35115,"icit",{"id":239,"tag":240},3248498,{"id":241,"tag_name":242},35116,"machine-learning",{"id":244,"tag":245},3248501,{"id":200,"tag_name":184},{"id":247,"tag":248},3248496,{"id":249,"tag_name":250},35239,"national-security",{"currentPage":252,"totalPages":253,"totalItems":8,"itemsPerPage":254},1,5,10]