數(shù)據(jù)創(chuàng)造價(jià)值

To create the maximum value, urgency, and leverage in a data partnership, you must present the data available for sale or partnership in a clear and comprehensive way. Partnerships are based upon the concept that you are offering value for value, whether paid or traded. Friendship might need no reasons, but partnerships require some understanding of the exchange of value.

要在數(shù)據(jù)合作伙伴關(guān)系中創(chuàng)造最大價(jià)值，緊迫性和杠桿作用，您必須以清晰，全面的方式顯示可用于銷(xiāo)售或合作伙伴關(guān)系的數(shù)據(jù)。 伙伴關(guān)系基于您提供物有所值的概念，無(wú)論是付費(fèi)還是交易。 友誼可能不需要任何理由，但是伙伴關(guān)系需要對(duì)價(jià)值交換有所了解。

The most common way to demonstrate the value of data is to share three different files or documents, each with a slightly different view of your data assets. The first file, called the data brief, is a presentation or document describing your data assets highlighting their best qualities and potential uses, or case studies of actual use. Your best strategy is to present this in person or, at if that’s not possible, in a conversation. The second file is a comprehensive document called a data catalog that outlines all of the facts about your data assets. The last file is a sample data file to assist would-be partners to test your data. The brief, catalog, and sample files need to represent accurately and clearly the value of your data.

證明數(shù)據(jù)價(jià)值的最常見(jiàn)方法是共享三個(gè)不同的文件或文檔，每個(gè)文件或文檔的數(shù)據(jù)資產(chǎn)視圖略有不同。 第一個(gè)文件稱(chēng)為數(shù)據(jù)摘要，是一個(gè)描述或文檔，描述了您的數(shù)據(jù)資產(chǎn)，突出顯示了它們的最佳質(zhì)量和潛在用途，或?qū)嶋H用途的案例研究。 最好的策略是親自展示，或者在不可能的情況下通過(guò)對(duì)話(huà)展示。 第二個(gè)文件是一個(gè)稱(chēng)為數(shù)據(jù)目錄的綜合文檔，概述了有關(guān)數(shù)據(jù)資產(chǎn)的所有事實(shí)。 最后一個(gè)文件是樣本數(shù)據(jù)文件 ，可幫助潛在的合作伙伴測(cè)試您的數(shù)據(jù)。 簡(jiǎn)要，目錄和樣本文件需要準(zhǔn)確，清楚地表示數(shù)據(jù)的價(jià)值。

Companies that fail to present data assets effectively will also fail to attract partnerships and receive fair compensation for their data. The value of your data is not obvious — just ask anyone in your company who doesn’t directly work with a given dataset to evaluate its purpose and worth to see what we mean. And those who do work directly with the data often can’t give a solid business case, either. This means, unfortunately, that those closest to the data, meaning you and your team, are also those most likely to become frustrated with a potential partner’s misunderstanding the value of your data. To prevent that frustration, invest the time to create the brief, the catalog, and the sample file.

未能有效展示數(shù)據(jù)資產(chǎn)的公司也將無(wú)法吸引合作伙伴，也不會(huì)為其數(shù)據(jù)獲得公平的補(bǔ)償。 數(shù)據(jù)的價(jià)值并不明顯-只需讓公司中不直接使用給定數(shù)據(jù)集的任何人評(píng)估其目的并值得了解我們的意思。 而那些誰(shuí)直接做的工作與數(shù)據(jù)往往不能給出一個(gè)穩(wěn)固的業(yè)務(wù)情況下，無(wú)論是。 不幸的是，這意味著那些最接近數(shù)據(jù)的人，也就是您和您的團(tuán)隊(duì)，也最有可能因潛在合作伙伴誤解您的數(shù)據(jù)價(jià)值而感到沮喪。 為避免這種麻煩，請(qǐng)花時(shí)間創(chuàng)建摘要，目錄和示例文件。

證明數(shù)據(jù)價(jià)值的三個(gè)文件 (The Three Files That Prove the Value of your Data)

The brief, the initial presentation file to highlight your data assets, need not be very long. To get potential customers or data partners to value the data appropriately, you should present it in simple terms, with appealing visuals that highlight the data assets clearly. Show the data at its most interesting, intriguing, exciting.

簡(jiǎn)短的初始演示文件可以突出顯示您的數(shù)據(jù)資產(chǎn)，不需要很長(zhǎng)。 為了使?jié)撛诘目蛻?hù)或數(shù)據(jù)合作伙伴適當(dāng)?shù)卦u(píng)估數(shù)據(jù)，您應(yīng)該以簡(jiǎn)單的術(shù)語(yǔ)來(lái)呈現(xiàn)它，并用吸引人的視覺(jué)效果清晰地突出顯示數(shù)據(jù)資產(chǎn)。 以最有趣，最有趣，最令人興奮的方式顯示數(shù)據(jù)。

The brief needs to start with a simple definition of your dataset that describes it clearly, for example:

簡(jiǎn)要說(shuō)明需要從對(duì)數(shù)據(jù)集的簡(jiǎn)單定義開(kāi)始，以清楚地描述它，例如：

• The full semantic breakdown of the United States Patent library.
  美國(guó)專(zhuān)利圖書(shū)館的完整語(yǔ)義分類(lèi)。
• The only user-generated, real-time gas price tracking platform.
  唯一的用戶(hù)生成的實(shí)時(shí)天然氣價(jià)格跟蹤平臺(tái)。
• The deepest collection of opt-in consumer profiles for luxury sales.
  參與奢侈品銷(xiāo)售的最深入的選擇加入的消費(fèi)者檔案。
• The highest resolution, hourly drone footage of US retail store locations.
  美國(guó)零售商店位置的最高分辨率，每小時(shí)無(wú)人機(jī)畫(huà)面。

Each of these sentences describe real datasets in their most appealing value terms. Focusing on the most important attributes like “user-generated,” “real-time,” or “highest resolution” are meant to highlight how they are both unique and valuable.

這些句子中的每一個(gè)都以其最吸引人的價(jià)值術(shù)語(yǔ)描述了真實(shí)的數(shù)據(jù)集。 關(guān)注“用戶(hù)生成”，“實(shí)時(shí)”或“最高分辨率”等最重要的屬性是為了突出它們的獨(dú)特性和價(jià)值。

From here, your presentation should draw out each major section of your data catalog, which is the second file you must create. Use striking graphics or “hero” numbers that clearly demonstrate the highlights in your data, such as the total number of records, how often the data is updated, quality metrics, and geographic or sector breakdowns. Each dataset has its own unique highlights.

從這里，您的演示文稿應(yīng)該繪制出數(shù)據(jù)目錄的每個(gè)主要部分，這是您必須創(chuàng)建的第二個(gè)文件。 使用醒目的圖形或“英雄”數(shù)字清楚地顯示數(shù)據(jù)中的亮點(diǎn)，例如記錄總數(shù)，數(shù)據(jù)更新頻率，質(zhì)量指標(biāo)以及地理或部門(mén)細(xì)分。 每個(gè)數(shù)據(jù)集都有其獨(dú)特的亮點(diǎn)。

In the second file, the data catalog, key sections include the Initial Data Definition, the Method of Data Collection, the Refinement Process, the Commitment of Quality, and the Coverage, Fill Rates, and Refresh Rates per major data field. Your partner will appreciate it if you include a Field Definitions Library at the end of the document, showing each field available, its data format (number, Boolean, date, currency, or text string, for example), its fill quantity (the percentage of records in which the field is filled), and a brief definition of what it conveys.

在第二個(gè)文件中，數(shù)據(jù)目錄的關(guān)鍵部分包括“初始數(shù)據(jù)定義”，“數(shù)據(jù)收集方法”，“細(xì)化過(guò)程”，“質(zhì)量承諾”以及每個(gè)主要數(shù)據(jù)字段的覆蓋率，填充率和刷新率。 如果您在文檔末尾包含一個(gè)字段定義庫(kù)，它會(huì)顯示每個(gè)可用字段，其數(shù)據(jù)格式(例如數(shù)字，布爾值，日期，貨幣或文本字符串)，填充量(百分比)，那么您的合作伙伴將不勝感激。填充該字段的記錄)，以及對(duì)其傳達(dá)的內(nèi)容的簡(jiǎn)要定義。

Your business and data teams should outline the initial brief as well as the data catalog, and your marketing department or agency should design them. Of course, for many companies, that means a single person doing the work, and so be prepared to allocate the resources necessary to give that person the support needed. This investment in clearly articulating what data assets you have will drastically shorten the partnership or sales cycle, immediately showcasing your data assets at a higher level than most.

您的業(yè)??務(wù)和數(shù)據(jù)團(tuán)隊(duì)?wèi)?yīng)概述初始摘要以及數(shù)據(jù)目錄，營(yíng)銷(xiāo)部門(mén)或代理商應(yīng)設(shè)計(jì)它們。 當(dāng)然，對(duì)于許多公司而言，這意味著只有一個(gè)人在從事這項(xiàng)工作，因此要做好分配必要資源的準(zhǔn)備，以便為該人提供所需的支持。 明確說(shuō)明您擁有哪些數(shù)據(jù)資產(chǎn)的這項(xiàng)投資將大大縮短合作伙伴關(guān)系或銷(xiāo)售周期，并立即以高于大多數(shù)的水平展示您的數(shù)據(jù)資產(chǎn)。

Many companies shortchange this effort and as result, never receive full value for their data. When you jump right to “l(fā)et us send you a sample file” you miss the opportunity to build up your data value and control the dialogue. You also likely keep the decisionmaking at a lower level of authority with your prospective partner — a poorly explained proposal will get handed off to someone who isn’t a key decisionmaker, adding a level of delay and uncertainty to the process.

許多公司都縮短了工作量，結(jié)果是永遠(yuǎn)無(wú)法獲得其數(shù)據(jù)的全部?jī)r(jià)值。 當(dāng)您跳到“讓我們給您發(fā)送示例文件”時(shí)，您會(huì)錯(cuò)過(guò)建立數(shù)據(jù)價(jià)值和控制對(duì)話(huà)的機(jī)會(huì)。 您也可能會(huì)與潛在的合作伙伴保持較低的決策權(quán)限-一個(gè)解釋不充分的建議會(huì)交給非關(guān)鍵決策者，這會(huì)增加流程的延遲和不確定性。

You should create the final file, the sample, dynamically based upon the circumstance. While it’s not usually necessary to customize the brief or the catalog, a custom sample data file will give each potential partnership its best chance at success. For example, for the drone footage company mentioned above, if they are meeting with a major electronics retailer, may want to specifically and only show similar footage or population density visuals for similarly situated electronics retailers. If the sample dataset has restaurants and laundromats in it, this will reveal shortcomings to the potential buyer or partner. They may show that the depth or coverage of the data file is inadequate, or maybe signal that the data owners are unable to deliver a custom data set quickly and in a format that is usable.

您應(yīng)該根據(jù)情況動(dòng)態(tài)創(chuàng)建最終文件(樣本)。 盡管通常不需要自定義簡(jiǎn)介或目錄，但自定義示例數(shù)據(jù)文件將為每個(gè)潛在的合作伙伴提供最大的成功機(jī)會(huì)。 例如，對(duì)于上述無(wú)人機(jī)素材公司，如果他們要與一家主要的電子產(chǎn)品零售商會(huì)面，則可能希望專(zhuān)門(mén)為那些位置相似的電子產(chǎn)品零售商展示類(lèi)似的素材或人口密度視覺(jué)效果。 如果樣本數(shù)據(jù)集中有餐廳和自助洗衣店，這將向潛在的買(mǎi)家或合作伙伴揭示缺點(diǎn)。 它們可能表明數(shù)據(jù)文件的深度或覆蓋范圍不足，或者可能表明數(shù)據(jù)所有者無(wú)法以可用格式快速交付自定義數(shù)據(jù)集。

Most companies that are considering a data partnership or the purchase of data assets will not have any patience for file delivery or formatting issues. This means that you should be prepared with a file prior to your first meeting that is likely to be appropriate to your audience, but also have a plan to quickly generate a different file if the meeting indicates a different need.

大多數(shù)正在考慮建立數(shù)據(jù)合作伙伴關(guān)系或購(gòu)買(mǎi)數(shù)據(jù)資產(chǎn)的公司將對(duì)文件傳遞或格式問(wèn)題沒(méi)有任何耐心。 這意味著您應(yīng)該在第一次會(huì)議之前準(zhǔn)備好可能適合您的聽(tīng)眾的文件，但也要制定計(jì)劃，以便在會(huì)議表明有不同需求時(shí)快速生成另一個(gè)文件。

關(guān)系映射值 (Relationship Mapping Values)

The process of mapping relationships between your data values and those of the potential partner can cause countless misunderstandings and unnecessary delays. This is typically because each party has very unique ways of looking at a business or person or product in their data; they need a Rosetta Stone of sorts to understand your dataset in their own context. This is central to the entire data partnership strategy for a business because there always needs to be a way to “crosswalk” from one dataset to another. Here, we’ll show how to highlight your data catalog to streamline this process in each partnership discussion.

在數(shù)據(jù)值與潛在合作伙伴的數(shù)據(jù)值之間映射關(guān)系的過(guò)程可能會(huì)引起無(wú)數(shù)的誤解和不必要的延遲。 通常，這是因?yàn)楦鞣蕉加蟹浅＊?dú)特的方式來(lái)查看其數(shù)據(jù)中的企業(yè)或個(gè)人或產(chǎn)品； 他們需要某種Rosetta Stone才能在自己的環(huán)境中理解您的數(shù)據(jù)集。 這對(duì)于企業(yè)的整個(gè)數(shù)據(jù)合作伙伴關(guān)系戰(zhàn)略至關(guān)重要，因?yàn)槭冀K需要一種從一個(gè)數(shù)據(jù)集“穿越”到另一個(gè)數(shù)據(jù)集的方法。 在這里，我們將在每次合作伙伴討論中展示如何突出顯示數(shù)據(jù)目錄以簡(jiǎn)化此過(guò)程。

Data, in any form, is the reduction of the inputs from the world to values or ranges, so we can efficiently understand and analyze information. In other words, data is a description of, or the story of, our world. As such, every dataset can be related to any other dataset by identifying its key value when it comes to the classic questions of Who, What, When, Where, or Why. Just as in your first journalism class or writing class, these five factors are common ways to describe the world around us and to connect all of the elements of a story together.

任何形式的數(shù)據(jù)都是從世界輸入減少到值或范圍，因此我們可以有效地理解和分析信息。 換句話(huà)說(shuō)，數(shù)據(jù)是對(duì)我們世界的描述或故事。 這樣，在涉及誰(shuí)，什么，何時(shí)，何地或?yàn)槭裁吹慕?jīng)典問(wèn)題時(shí)，通過(guò)標(biāo)識(shí)其關(guān)鍵值，可以將每個(gè)數(shù)據(jù)集與任何其他數(shù)據(jù)集相關(guān)聯(lián)。 就像在您的第一個(gè)新聞班或?qū)懽靼嗌弦粯?#xff0c;這五個(gè)因素是描述我們周?chē)澜绮⒐适碌乃幸芈?lián)系在一起的常用方法。

By asking the following questions, both of your own data assets, and then of your potential data partner, you can quickly come to a common language to compare and analyze your data.

通過(guò)問(wèn)您自己的數(shù)據(jù)資產(chǎn)以及潛在的數(shù)據(jù)合作伙伴以下問(wèn)題，您可以快速使用通用語(yǔ)言來(lái)比較和分析數(shù)據(jù)。

• Who is your data about?
  您的資料涉及誰(shuí)？
• What is your data about?
  您的數(shù)據(jù)是關(guān)于什么的？
• When did your data occur or change?
  您的數(shù)據(jù)何時(shí)出現(xiàn)或更改？
• Where (what location) is your data about?
  您的數(shù)據(jù)在哪里(什么位置)？
• Why was your data created?
  為什么創(chuàng)建數(shù)據(jù)？

Is your data about people, products, or places? If so, each of those can be related to other databases with those as central themes. Consumer profiles, business locations, product codes, and medical reimbursement codes are all examples of common data anchors by which different datasets can be matched and compared. This means that Who, What, and Where are the most straightforward questions to answer, and you or your potential data partner can usually match corresponding data elements so that they can compare your data to theirs and analyze its value. Every data record needs to correspond to the same person, product, or place across datasets.

您的數(shù)據(jù)是關(guān)于人，產(chǎn)品或地點(diǎn)的嗎？ 如果是這樣，那么每個(gè)主題都可以與其他數(shù)據(jù)庫(kù)相關(guān)并以它們?yōu)橹行闹黝}。 消費(fèi)者資料，營(yíng)業(yè)地點(diǎn)，產(chǎn)品代碼和醫(yī)療報(bào)銷(xiāo)代碼都是通用數(shù)據(jù)錨點(diǎn)的示例，通過(guò)它們可以匹配和比較不同的數(shù)據(jù)集。 這意味著，誰(shuí)，什么和哪里是最容易回答的問(wèn)題，您或您的潛在數(shù)據(jù)伙伴通常可以匹配相應(yīng)的數(shù)據(jù)元素，以便他們可以將您的數(shù)據(jù)與其數(shù)據(jù)進(jìn)行比較并分析其價(jià)值。 每個(gè)數(shù)據(jù)記錄都需要在數(shù)據(jù)集中對(duì)應(yīng)同一個(gè)人，產(chǎn)品或地點(diǎn)。

Time is another fantastic way to connect data assets. When two data sets don’t describe the same person, product, or place, time of occurrence or change is the next most likely area of correspondence. This is how drone footage and satellite imagery are tied to product sales at a retail store, for example. Both the photos of the cars or pedestrians in the parking lot of a retail store can be compared to transactional data from the store, because both have time stamps. While photos of parking lot density can’t directly be tied to a product SKU, they can be compared to the times a particular product or series of products is purchased. Time is a universal connector that powerfully connects seemingly disparate datasets.

時(shí)間是連接數(shù)據(jù)資產(chǎn)的另一種絕佳方式。 當(dāng)兩個(gè)數(shù)據(jù)集無(wú)法描述同一個(gè)人，產(chǎn)品或地點(diǎn)時(shí)，發(fā)生或更改的時(shí)間是下一個(gè)最可能的對(duì)應(yīng)區(qū)域。 例如，這就是將無(wú)人機(jī)畫(huà)面和衛(wèi)星圖像與零售商店的產(chǎn)品銷(xiāo)售聯(lián)系起來(lái)的方式。 零售商店的停車(chē)場(chǎng)中的汽車(chē)或行人的照片都可以與商店的交易數(shù)據(jù)進(jìn)行比較，因?yàn)閮烧叨加袝r(shí)間戳。 雖然不能將停車(chē)場(chǎng)密度的照片直接與產(chǎn)品SKU相關(guān)聯(lián)，但可以將其與購(gòu)買(mǎi)特定產(chǎn)品或一系列產(chǎn)品的時(shí)間進(jìn)行比較。 時(shí)間是一個(gè)通用連接器，可以有效地連接看似完全不同的數(shù)據(jù)集。

Plus, you can watch this while it happens.另外，您可以在發(fā)生這種情況時(shí)觀(guān)看。

The last and most complicated data relationship to map, in both data and in writing, is around the question of “why.” The best way to think about how this matches up with other datasets is to try to match up sentiment or indications of interest around an event, product, or service. For example, many firms like Yelp semantically extract the sentiment of reviews left by patrons at restaurants and hotels, sentiments that can help answer the question of “why.” When a reviewer of a restaurant leaves a comment like, “You have to try the 1-pound meatball appetizer, it’s amazing,” they can relate the object of the meatball to a positive consumer experience and the subsequent recommendation of that business to others. This is one of the hardest elements of data collection, but the increasingly easy access to user interest and sentiment through mobile phone apps has created a whole new world of “why” relationship mapping.

在數(shù)據(jù)和書(shū)面形式上，映射的最后也是最復(fù)雜的數(shù)據(jù)關(guān)系是圍繞“為什么”的問(wèn)題。 考慮這與其他數(shù)據(jù)集如何匹配的最好方法是嘗試圍繞事件，產(chǎn)品或服務(wù)來(lái)匹配情緒或興趣指示。 例如，許多類(lèi)似Yelp的公司從語(yǔ)義上提取了顧客在餐館和酒店留下的評(píng)論情緒，這些情緒可以幫助回答“為什么”的問(wèn)題。 當(dāng)餐廳的評(píng)論者留下諸如“您必須嘗試1磅重的丸子開(kāi)胃菜，真是太神奇了”的評(píng)論時(shí)，他們可以將丸子的目標(biāo)與積極的消費(fèi)者體驗(yàn)聯(lián)系起來(lái)，并將該業(yè)務(wù)隨后推薦給其他人。 這是數(shù)據(jù)收集中最困難的要素之一，但是通過(guò)手機(jī)應(yīng)用程序越來(lái)越容易獲得用戶(hù)的興趣和情感，這為“為什么”關(guān)系映射開(kāi)辟了一個(gè)全新的世界。

時(shí)間數(shù)據(jù) (Data Through Time)

When presenting data assets, reviewing changes over time is a powerful magnifier of value. Charts of daily, weekly, monthly, quarterly, or annual shifts put your data assets into a common perspective. Most data briefs and data catalogs show the growth of their data assets — records, fields, or fill rates — as time-based series. Since most data collection efforts are cumulative, they grow over time, which attractively demonstrates their value. For this reason, you should identify each dataset you have, how many, and when they were created to make this very clear. Charting growth over time can also be a great way to highlight that your lead over competing data suppliers, and how long it would take to recreate your data at the same scale. For this reason, your brief and data catalog should convey how your scale or head-start create dominance in your space.

在顯示數(shù)據(jù)資產(chǎn)時(shí)，回顧隨時(shí)間的變化是一個(gè)強(qiáng)大的價(jià)值放大器。 每日，每周，每月，每季度或每年的變化圖表將您的數(shù)據(jù)資產(chǎn)置于一個(gè)共同的角度。 大多數(shù)數(shù)據(jù)摘要和數(shù)據(jù)目錄以時(shí)間為基礎(chǔ)的系列顯示其數(shù)據(jù)資產(chǎn)(記錄，字段或填充率)的增長(zhǎng)。 由于大多數(shù)數(shù)據(jù)收集工作都是累積性的，因此它們會(huì)隨著時(shí)間的推移而增長(zhǎng)，這很有吸引力地證明了它們的價(jià)值。 因此，您應(yīng)該確定每個(gè)數(shù)據(jù)集，數(shù)量以及創(chuàng)建時(shí)間，以使其更加清晰。 繪制一段時(shí)間內(nèi)的增長(zhǎng)圖表也可以很好地說(shuō)明您在競(jìng)爭(zhēng)數(shù)據(jù)供應(yīng)商方面的領(lǐng)先優(yōu)勢(shì)，以及以相同規(guī)模重建數(shù)據(jù)需要花費(fèi)多長(zhǎng)時(shí)間。 因此，您的簡(jiǎn)要和數(shù)據(jù)目錄應(yīng)該傳達(dá)您的規(guī)模或先發(fā)優(yōu)勢(shì)如何在您的空間中創(chuàng)造支配地位。

Another important temporal view of your data will reveal changes or updates to your data and when they occur. To highlight just how dynamic your data assets are, create scatter plot diagrams that show fields, how often they update, and to what magnitude they change. This insight can visually help a potential partner to understand not just the need for your data, but the need for refreshing their feed of data from you on a timely basis. Some data suppliers will want to convey this early on in a discussion, because their potential data partners will have trouble ingesting data frequently. Partners’ legacy corporate data structures and slow compilation practices can create barriers where, even if your data is amazingly useful, a data partner may not be able to ingest it fast enough to use it properly. This is why a chart of the frequency of updates is very helpful early, enabling you to demonstrate your capabilities to a potential data partner. Frequency charts also help your partner understand just how large of a data inflow they may be purchasing — It is a sad discussion when a data partnership is abandoned after weeks of discovery only because the receiving party realizes they can’t ingest the fire hose of content you might be able to provide.

數(shù)據(jù)的另一個(gè)重要時(shí)態(tài)視圖將揭示數(shù)據(jù)的更改或更新以及發(fā)生的時(shí)間。 要突出顯示數(shù)據(jù)資產(chǎn)的動(dòng)態(tài)性，請(qǐng)創(chuàng)建散點(diǎn)圖，以顯示字段，字段更新的頻率以及更改的幅度。 這種見(jiàn)解可以從視覺(jué)上幫助潛在的合作伙伴不僅了解您的數(shù)據(jù)需求，而且還需要及時(shí)刷新您的數(shù)據(jù)源。 一些數(shù)據(jù)提供者將希望在討論中盡早傳達(dá)這一點(diǎn)，因?yàn)樗鼈兊臐撛跀?shù)據(jù)合作伙伴將難以頻繁提取數(shù)據(jù)。 合作伙伴的舊公司數(shù)據(jù)結(jié)構(gòu)和緩慢的編譯實(shí)踐可能會(huì)造成障礙，即使您的數(shù)據(jù)非常有用，數(shù)據(jù)合作伙伴也可能無(wú)法足夠快地提取數(shù)據(jù)以正確使用它。 這就是為什么更新頻率圖表在早期非常有用的原因，它使您能夠向潛在的數(shù)據(jù)合作伙伴展示自己的能力。 頻率圖表還可以幫助您的合作伙伴了解他們可能購(gòu)買(mǎi)了多少數(shù)據(jù)流入—當(dāng)發(fā)現(xiàn)數(shù)周后放棄數(shù)據(jù)合作伙伴關(guān)系而僅僅是因?yàn)榻邮辗揭庾R(shí)到他們無(wú)法攝取內(nèi)容的消防水帶時(shí)，這是一個(gè)悲傷的討論您可能能夠提供。

We mentioned the need for storing the date and time for each update in your data. This is where that effort really shines in the data partnership strategy. Work with your technology teams to ensure that creation, updates, changes, confirmations, and deletions of every data field are tracked and time-stamped. This will be a hallmark of your data value presentation.

我們提到需要在數(shù)據(jù)中存儲(chǔ)每次更新的日期和時(shí)間。 這就是這種努力真正體現(xiàn)在數(shù)據(jù)合作伙伴戰(zhàn)略中的地方。 與您的技術(shù)團(tuán)隊(duì)合作，以確保跟蹤和標(biāo)記每個(gè)數(shù)據(jù)字段的創(chuàng)建，更新，更改，確認(rèn)和刪除。 這將是您的數(shù)據(jù)值表示的標(biāo)志。

Ultimately, the vale of a dataset is only apparent when explained, because anyone who has not directly worked with the data will only recognize the value that is surface-level. It takes time, energy, and creativity to produce an explanation of data that will convince a prospective partner of value. But the investment in making the data brief, data catalog, and sample data file will be well worth the resources required. A weak presentation has been the downfall of many a potential partnership; a strong presentation goes a long way to showing why your data is worth your partner’s time, and yours.

最終，數(shù)據(jù)集的價(jià)值只有在解釋時(shí)才顯而易見(jiàn)，因?yàn)槿魏挝粗苯犹幚頂?shù)據(jù)的人都只會(huì)識(shí)別表面值。 對(duì)數(shù)據(jù)進(jìn)行解釋需要花費(fèi)時(shí)間，精力和創(chuàng)造力，這些數(shù)據(jù)才能使?jié)撛诘暮献骰锇樾欧r(jià)值。 但是，使數(shù)據(jù)簡(jiǎn)短，數(shù)據(jù)目錄和樣本數(shù)據(jù)文件方面的投資非常值得所需的資源。 表現(xiàn)不佳是許多潛在伙伴關(guān)系的失敗。 出色的演示對(duì)顯示為什么您的數(shù)據(jù)值得您的伴侶和您的伴侶的時(shí)間大有幫助。

Don’t….don’t do this.不要……不要這樣做。

Originally published at https://wardpllc.com on September 4, 2020.

最初于 2020年9月4日 在 https://wardpllc.com 上 發(fā)布 。

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翻譯自: https://medium.com/datadriveninvestor/presenting-data-and-creating-value-dec9fffb514c

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