Simplify Your Analytics Strategy
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An analysis on HBR article "Simplify Your Analytics Strategy by Narendra Mulani" under the guidance of Prof.Sameer Mathur
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Businesses are challenged by complex analytics that can generate confusion instead of insights. Companies should simplify their analytics strategy by focusing on the most important data first to uncover real business opportunities and achieve desired outcomes. They can do this by creating a hybrid data environment that enables fast data delivery and real-time analytics, speeding up decision making. Delegating analytics work to technologies like next-gen business intelligence and data visualization can help turn data into useful insights without needing to analyze everything possible.
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Simplify your analytics strategy
While the interests in analytics and resulting benefits are increasing by the day, some businesses are challenged by the complexity and confusion that analytics can generate.
Companies can get stuck trying to analyze all that’s possible and all that they could do through analytics, when they should be taking that next step of recognizing what’s important and what they should be doing — for their customers, stakeholders, and employees.
Discovering real business opportunities and achieving desired outcomes can be elusive.
Simplify your analytics strategy
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While the interests in analytics and resulting benefits are increasing by the day, some businesses are challenged by the complexity and confusion that analytics can generate.
Companies can get stuck trying to analyze all that’s possible and all that they could do through analytics, when they should be taking that next step of recognizing what’s important and what they should be doing — for their customers, stakeholders, and employees.
Discovering real business opportunities and achieving desired outcomes can be elusive.
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Fast data enables fast insights and fast outcomes. To accelerate data, companies need to liberate and accelerate it by creating a data supply chain built on a hybrid environment of a data service platform and emerging big data technologies. This allows business intelligence to bring data and analytics to life to help companies improve decision-making and performance. Additionally, data discovery can occur alongside specific projects, allowing companies to discover new patterns in their data through testing and exploration to further optimize outcomes.
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Simplify your analytics strategy
Most companies get stuck analyzing large amounts of data. To overcome this, companies should pursue a simpler path to insights by accelerating data delivery in real-time, and delegating analytic work to technologies like business intelligence, data discovery, analytics applications, and machine learning. This allows the right data to reach decision-makers in a visual format tailored for each user, enabling data-driven decisions across departments to efficiently achieve organizational goals.
Simplify your analytics strategy
This is a qualitative analysis of an article titled "Simplify Your Analytics Strategy" by Narendra Mulani
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Similar to Simplify Your Analytics Strategy
Simplify your analytics strategy
Most companies get stuck analyzing large amounts of data. To overcome this, companies should pursue a simpler path to insights by accelerating data delivery in real-time, and delegating analytic work to technologies like business intelligence, data discovery, analytics applications, and machine learning. This allows the right data to reach decision-makers in a visual format tailored for each user, enabling data-driven decisions across departments to efficiently achieve organizational goals.
Simplify your analytics strategy
This is a qualitative analysis of an article titled "Simplify Your Analytics Strategy" by Narendra Mulani
Simplify your analytics strategy
The document discusses simplifying an analytics strategy. It recommends accelerating data through a hybrid technology environment to enable faster insight and decision making. A bank adopted this approach to more efficiently manage increasing data volumes for customer analytics. It also discusses delegating work to technologies like business intelligence, data discovery, analytics applications, and machine learning to analyze data and produce predictions. A company's existing culture and technologies impact its analytics journey.
Simply your analytics strategy
The document outlines 5 steps to simplify an analytics strategy: 1) Accelerate data delivery through a hybrid data platform; 2) Use next-gen business intelligence and data visualization; 3) Perform data discovery to uncover patterns; 4) Deploy industry-specific analytics applications; 5) Incorporate machine learning and cognitive computing. Taking these steps can generate insights that lead to improved decision-making and organizational performance. A manager must understand that analytics strategies require adapting to changing business needs, technologies, and data sources.
Simplify Your Analytics Strategy
This document discusses how companies can simplify their analytics strategies. It recommends that companies accelerate data access to gain insights more quickly, delegate analytics work to technologies, and use next-gen business intelligence and data visualization to present data insights visually. The document also suggests using applications, machine learning, and data discovery techniques to simplify advanced analytics and uncover new opportunities from data. The overall message is that companies can gain data-driven insights more easily by focusing on outcomes, leveraging technologies, and having an adaptive analytics approach.
Simplify your analytics strategy
Companies should pursue a simpler path to uncover insights from their data by creating a data supply chain using a hybrid of technologies. They should focus on next-gen business intelligence and data visualization to improve decision making, as well as data discovery techniques to uncover patterns. Machine learning can also be used to produce predictions and remove human elements from modeling. A company's analytics journey also depends on its culture.
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This presentation discusses simplifying analytics strategies for businesses. It suggests that while interest in analytics is growing, some businesses are overwhelmed by the complexity. It recommends pursuing a simpler path to uncover insights from data to make informed decisions. Fast data processing can provide fast insights and outcomes. Next-gen business intelligence and data visualization can help decision-makers explore opportunities. Data discovery alongside projects can uncover new patterns. Machine learning can reduce human elements and improve predictions. Each company's analytics journey depends on its unique culture and existing technologies. Companies can take discovery-based or known solution approaches depending on the problem.
Simplify Your Analytics Strategy
This presentation is based on the article Simplify Your Analytics Strategy by Narendra Mulani.I have made this presentation
as a part of my data internship course
Simplify your analytics strategy
This document discusses strategies for simplifying analytics. It recommends focusing on insights that are important for customers, stakeholders, and employees rather than trying to analyze all possible data. Specific strategies include using next-gen business intelligence and data visualization to improve decision making; applying data discovery techniques to uncover patterns; deploying analytics applications to simplify advanced analytics; and harnessing techniques like machine learning to reduce human effort and produce predictions. The goal is to generate insights that lead to tangible outcomes through a faster, simpler analytical approach.
Simplify your analytics strategy
Companies should pursue business intelligence to turn their data into a valuable asset. This involves having the right data available to decision-makers in a visual format suited to each person's needs. Data discovery techniques allow companies to test their data and uncover patterns not readily evident to find new opportunities. Applications can simplify advanced analytics by putting powerful tools in the hands of business users, while machine learning removes human elements to predict customer behavior and performance. A company's culture and existing analytics capabilities also impact its analytics journey.
Simplify your analytics strategy
The document provides tips for simplifying an analytics strategy. It recommends accelerating data processing to enable fast insights and outcomes. Companies should delegate analytics work to technologies like business intelligence, data discovery, analytics applications, and machine learning. Each company's path to insights is unique, so they can take either an outcome-driven approach for known problems or a discovery-based approach to find patterns for unknown solutions. The ultimate goal is to uncover insights from data and make data-driven decisions.
W4 d5 - Simplify Your Analytics Strategy
The document discusses how businesses can simplify their analytics strategy to generate insights that lead to real outcomes. It recommends that companies accelerate data through emerging technologies to speed up insight generation and business outcomes. Next-gen business intelligence can help companies improve decision making by presenting data in a visually appealing way to enable data-driven opportunities. The document also discusses how applications and machine learning can simplify advanced analytics to put power in the hands of business users to make data-driven decisions. It emphasizes that each company's path to analytics insight is unique and should have an outcome-driven mindset.
Simplify your analytics strategy
This document discusses simplifying analytics strategies. It recommends pursuing a simpler path to insights by accelerating data through a hybrid technology environment. This allows for fast delivery of analytics to improve service quality. It also recommends delegating work to analytics technologies like business intelligence and data visualization to more easily uncover patterns. Different analytic techniques like data discovery, applications, and machine learning can further help companies gain insights from their data in a simplified manner. The path to insights is unique for each company based on their goals, data, and technologies.
Simplify your analytics strategy
The document provides steps for companies to simplify their analytics strategy. It recommends companies accelerate data, use next-gen BI and data visualization, perform data discovery, leverage analytics applications, and adopt machine learning. Companies can take either a hypothesis-based approach for known problems or discovery-based for unknown solutions. The key is to focus on high-value problems and place action behind uncovered insights.
Simplify your analytics strategy
The document discusses how businesses can overcome complexity and confusion with analytics by pursuing a simpler path to insights. It recommends creating a hybrid data environment to accelerate data delivery and insights. Businesses should delegate analytic work to technologies like business intelligence, data discovery, analytics applications, and machine learning. Each company's path to insights is unique, so they can take either a problem-focused or discovery-based approach depending on their needs. Uncovering opportunities requires making data-driven decisions once insights are found.
Dsa presentation 5
THIS PRESENTATION IS MADE BY AKANKSHI MODY, DJSCE DURING A DATA ANALYTICS INTERNSHIP UNDER PROF. SAMEER MATHUR, IIML
Simplify our analytics strategy
This document discusses simplifying analytics strategies. It recommends pursuing a simpler path to insights by accelerating data through a hybrid data platform and emerging technologies. This allows for fast data, insights, and outcomes. Examples show how next-gen BI and data visualization, data discovery, and machine learning can delegate work to analytics technologies to more easily uncover patterns and opportunities. The document emphasizes that each path to insights is unique and may involve hypothesis-based or discovery-based approaches.
Simplify you analytics strategy
1. The document discusses simplifying a company's analytics strategy to enable insight-driven decisions that add value. It recommends accelerating data, using business intelligence and data visualization tools, data discovery, analytics applications, and machine learning.
2. It notes that the path to data-driven insights is unique for each dataset as business goals, technologies, data types, and sources are constantly changing. Companies need a new analytics approach each time to maximize benefits from data.
3. Two approaches are outlined: using existing solutions for known problems like customer segmentation; and discovery-based approaches to find predictive patterns for unknown problems. The goal is to uncover insights and then make data-driven decisions.
PART 1.docx
Business intelligence (BI) refers to capabilities that enable organizations to make better decisions by collecting, presenting, and delivering data in easy-to-understand formats. BI solutions allow companies to answer questions about their products, competitors, customers, markets, and trends. An effective BI solution should be easy for all levels of employees to access, integrate data from various sources, provide data visualization and self-service analytics capabilities, and employ machine learning for automated and augmented analysis.
Simplifying analytics
The document discusses simplifying analytics by focusing on important data and how to use it to improve business outcomes, rather than complex analytics. It recommends building an environment to accelerate data processing for faster insights and decisions. Companies should leverage business intelligence, data visualization, and data discovery tools, as well as machine learning models, to automate analysis and gain insights from large data sets. Different problems may require hypothesis-based or discovery-based approaches. The key is to identify important data, delegate analysis to tools when possible, visualize data for better understanding, uncover hidden patterns, and customize the approach to the specific problem and data.
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3:国家专业人才认证中心颁发入库证书
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【业务选择办理准则】
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2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
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2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
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End-to-end pipeline agility - Berlin Buzzwords 2024
We describe how we achieve high change agility in data engineering by eliminating the fear of breaking downstream data pipelines through end-to-end pipeline testing, and by using schema metaprogramming to safely eliminate boilerplate involved in changes that affect whole pipelines.
A quick poll on agility in changing pipelines from end to end indicated a huge span in capabilities. For the question "How long time does it take for all downstream pipelines to be adapted to an upstream change," the median response was 6 months, but some respondents could do it in less than a day. When quantitative data engineering differences between the best and worst are measured, the span is often 100x-1000x, sometimes even more.
A long time ago, we suffered at Spotify from fear of changing pipelines due to not knowing what the impact might be downstream. We made plans for a technical solution to test pipelines end-to-end to mitigate that fear, but the effort failed for cultural reasons. We eventually solved this challenge, but in a different context. In this presentation we will describe how we test full pipelines effectively by manipulating workflow orchestration, which enables us to make changes in pipelines without fear of breaking downstream.
Making schema changes that affect many jobs also involves a lot of toil and boilerplate. Using schema-on-read mitigates some of it, but has drawbacks since it makes it more difficult to detect errors early. We will describe how we have rejected this tradeoff by applying schema metaprogramming, eliminating boilerplate but keeping the protection of static typing, thereby further improving agility to quickly modify data pipelines without fear.
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【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Enhanced Enterprise Intelligence with your personal AI Data Copilot.pdf
Recently we have observed the rise of open-source Large Language Models (LLMs) that are community-driven or developed by the AI market leaders, such as Meta (Llama3), Databricks (DBRX) and Snowflake (Arctic). On the other hand, there is a growth in interest in specialized, carefully fine-tuned yet relatively small models that can efficiently assist programmers in day-to-day tasks. Finally, Retrieval-Augmented Generation (RAG) architectures have gained a lot of traction as the preferred approach for LLMs context and prompt augmentation for building conversational SQL data copilots, code copilots and chatbots.
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毕业原版【微信:41543339】【(牛布毕业证书)牛津布鲁克斯大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
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A population analysis specific to Bataan.
一比一原版(UO毕业证)渥太华大学毕业证如何办理
UO毕业证录取书【微信95270640】购买（渥太华大学毕业证成绩单硕士学历）Q微信95270640代办UO学历认证留信网伪造渥太华大学学位证书精仿渥太华大学本科/硕士文凭证书补办渥太华大学 diplomaoffer,Transcript购买渥太华大学毕业证成绩单购买UO假毕业证学位证书购买伪造渥太华大学文凭证书学位证书,专业办理雅思、托福成绩单，学生ID卡，在读证明，海外各大学offer录取通知书，毕业证书，成绩单，文凭等材料:1:1完美还原毕业证、offer录取通知书、学生卡等各种在读或毕业材料的防伪工艺（包括 烫金、烫银、钢印、底纹、凹凸版、水印、防伪光标、热敏防伪、文字图案浮雕，激光镭射，紫外荧光，温感光标）学校原版上有的工艺我们一样不会少，不论是老版本还是最新版本，都能保证最高程度还原，力争完美以求让所有同学都能享受到完美的品质服务。
文凭办理流程：
1客户提供办理信息：姓名生日专业学位毕业时间等（如信息不确定可以咨询顾问：微信95270640我们有专业老师帮你查询）；
2开始安排制作毕业证成绩单电子图；
3毕业证成绩单电子版做好以后发送给您确认；
4毕业证成绩单电子版您确认信息无误之后安排制作成品；
5成品做好拍照或者视频给您确认；
6快递给客户（国内顺丰国外DHLUPS等快读邮寄）。
7完成交易删除客户资料
高精端提供以下服务：
一：渥太华大学渥太华大学毕业证文凭证书全套材料从防伪到印刷水印底纹到钢印烫金
二：真实使馆认证（留学人员回国证明）使馆存档
三：真实教育部认证教育部存档教育部留服网站可查
四：留信认证留学生信息网站可查
五：与学校颁发的相关证件1:1纸质尺寸制定（定期向各大院校毕业生购买最新版本毕,业证成绩单保证您拿到的是鲁昂大学内部最新版本毕业证成绩单微信95270640）
A.为什么留学生需要操作留信认证?
留信认证全称全国留学生信息服务网认证,隶属于北京中科院。①留信认证门槛条件更低,费用更美丽,并且包过,完单周期短,效率高②留信认证虽然不能去国企,但是一般的公司都没有问题,因为国内很多公司连基本的留学生学历认证都不了解。这对于留学生来说,这就比自己光拿一个证书更有说服力,因为留学学历可以在留信网站上进行查询!
B.为什么我们提供的毕业证成绩单具有使用价值？
查询留服认证是国内鉴别留学生海外学历的唯一途径但认证只是个体行为不是所有留学生都操作所以没有办理认证的留学生的学历在国内也是查询不到的他们也仅仅只有一张文凭。所以这时候我们提供的和学校颁发的一模一样的毕业证成绩单就有了使用价值。只硕大的蛇皮袋手里拎着长铁钩正站在门口朝黑色的屋内张望不好坏人小偷山娃一怔却也灵机一动立马仰起头双手拢在嘴边朝楼上大喊：“爸爸爸——有人找——那人一听朝山娃尴尬地笑笑悻悻地走了山娃立马“嘭的一声将铁门锁死心却咚咚地乱跳当山娃跟父亲说起这事时父亲很吃惊抚摸着山娃的头说还好醒得及时要不家早被人掏空了到时连电视也没得看啰不过父亲还是夸山娃能临危不乱随机应变有胆有谋山娃笑笑说那都是书上学的看童话和小说时多
办(uts毕业证书)悉尼科技大学毕业证学历证书原版一模一样
原版一模一样【微信：741003700 】【(uts毕业证书)悉尼科技大学毕业证学历证书】【微信：741003700 】学位证，留信认证（真实可查，永久存档）offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原海外各大学 Bachelor Diploma degree, Master Degree Diploma
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
一比一原版(Dalhousie毕业证书)达尔豪斯大学毕业证如何办理
原版定制【微信:41543339】【(Dalhousie毕业证书)达尔豪斯大学毕业证】【微信:41543339】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信41543339】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信41543339】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
Analysis insight about a Flyball dog competition team's performance
Insight of my analysis about a Flyball dog competition team's last year performance. Find more: https://github.com/rolandnagy-ds/flyball_race_analysis/tree/main
06-04-2024 - NYC Tech Week - Discussion on Vector Databases, Unstructured Dat...
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A lively discussion with NJ Gen AI Meetup Lead, Prasad and Procure.FYI's Co-Found
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
毕业原版【微信:176555708】【(UCSF毕业证书)旧金山分校毕业证】【微信:176555708】成绩单、外壳、offer、留信学历认证（永久存档真实可查）采用学校原版纸张、特殊工艺完全按照原版一比一制作（包括：隐形水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠，文字图案浮雕，激光镭射，紫外荧光，温感，复印防伪）行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备，十五年致力于帮助留学生解决难题，业务范围有加拿大、英国、澳洲、韩国、美国、新加坡，新西兰等学历材料，包您满意。
【我们承诺采用的是学校原版纸张（纸质、底色、纹路），我们拥有全套进口原装设备，特殊工艺都是采用不同机器制作，仿真度基本可以达到100%，所有工艺效果都可提前给客户展示，不满意可以根据客户要求进行调整，直到满意为止！】
【业务选择办理准则】
一、工作未确定，回国需先给父母、亲戚朋友看下文凭的情况，办理一份就读学校的毕业证【微信176555708】文凭即可
二、回国进私企、外企、自己做生意的情况，这些单位是不查询毕业证真伪的，而且国内没有渠道去查询国外文凭的真假，也不需要提供真实教育部认证。鉴于此，办理一份毕业证【微信176555708】即可
三、进国企，银行，事业单位，考公务员等等，这些单位是必需要提供真实教育部认证的，办理教育部认证所需资料众多且烦琐，所有材料您都必须提供原件，我们凭借丰富的经验，快捷的绿色通道帮您快速整合材料，让您少走弯路。
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
留信网服务项目：
1、留学生专业人才库服务（留信分析）
2、国（境）学习人员提供就业推荐信服务
3、留学人员区块链存储服务
→ 【关于价格问题（保证一手价格）】
我们所定的价格是非常合理的，而且我们现在做得单子大多数都是代理和回头客户介绍的所以一般现在有新的单子 我给客户的都是第一手的代理价格，因为我想坦诚对待大家 不想跟大家在价格方面浪费时间
对于老客户或者被老客户介绍过来的朋友，我们都会适当给一些优惠。
选择实体注册公司办理，更放心，更安全！我们的承诺：客户在留信官方认证查询网站查询到认证通过结果后付款，不成功不收费！
ViewShift: Hassle-free Dynamic Policy Enforcement for Every Data Lake
Dynamic policy enforcement is becoming an increasingly important topic in today’s world where data privacy and compliance is a top priority for companies, individuals, and regulators alike. In these slides, we discuss how LinkedIn implements a powerful dynamic policy enforcement engine, called ViewShift, and integrates it within its data lake. We show the query engine architecture and how catalog implementations can automatically route table resolutions to compliance-enforcing SQL views. Such views have a set of very interesting properties: (1) They are auto-generated from declarative data annotations. (2) They respect user-level consent and preferences (3) They are context-aware, encoding a different set of transformations for different use cases (4) They are portable; while the SQL logic is only implemented in one SQL dialect, it is accessible in all engines.
#SQL #Views #Privacy #Compliance #DataLake
The Ipsos - AI - Monitor 2024 Report.pdf
According to Ipsos AI Monitor's 2024 report, 65% Indians said that products and services using AI have profoundly changed their daily life in the past 3-5 years.
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Simplify Your Analytics Strategy
- 3. Companies can get stuck trying to analyze all that’s possible and all that they could do through analytics, when they should be taking that next step of recognizing what’s important and what they should be doing — for their customers, stakeholders, and employees.
- 4. Companies should pursue a simpler path to uncovering the insight in their data and making insight- driven decisions that add value.
- 5. Steps to simplify analytics strategy
- 6. Accelerate the data Fast data = fast insight = fast outcomes
- 7. Ways to delegate the work to your analytics technologies:
- 9. At its core, next- gen business intelligence is bringing data and analytics to life to help companies improve and optimize their decision-making and organizational performance.
- 10. BI does this by turning an organization’s data into an asset by having the right data, at the right time and place (mobile, laptop, etc), and displayed in the right visual form (heat map, charts, etc) for each individual decision- maker, so they can use it to reach their desired outcome..
- 12. 3.Analytics Applications Applications can simplify advanced analytics as they put the power of analytics easily and elegantly into the hands of the business user to make data-driven business decisions.
- 14. Machine learning is an evolution of analytics that removes much of the human element from the data modeling process to produce predictions of customer behavior and enterprise performance. With an influx of big data, and advances in processing power, data science and cognitive technology, software intelligence is helping machines make even better-informed decisions.
- 15. 5.Recognize that each path to data insight is unique The path to insight doesn’t come in one single form. There are many different elements in play, and they are always changing — business goals, technologies, data types, data sources, and then some are in a state of flux. No matter what combination of culture and technology exists for a business, each path to analytics insight should be individually paved with an outcome- driven mindset.
- 16. Once insights are uncovered, the next step is for the business, of course, to make the data-driven decisions that place action behind the data. It is possible to uncover the business opportunities in your data and increase data equity, simply.
- 18. A Manager should employ steps discussed in ii insight in his/ her organisation to make the analysis simpler: A proper supply chain should be built to accelerate the data. Also a manager should try to have advanced technology for the organization because n organization equipped with advanced technology have an ease with analytics.
- 19. For a known problem area but with an unknown solution, the company could take a discovery- based approach to look for patterns in the data to find interesting correlations that may be predictive For a known problem with a known solution the company could take a hypothesis- based approach by starting with the outcome .