{"id":2548,"date":"2019-05-22T13:27:01","date_gmt":"2019-05-22T13:27:01","guid":{"rendered":"https:\/\/www.encanvas.com\/?p=2548"},"modified":"2019-05-22T13:27:01","modified_gmt":"2019-05-22T13:27:01","slug":"re-invigorating-old-data","status":"publish","type":"post","link":"https:\/\/ustechsolutions.com\/re-invigorating-old-data\/","title":{"rendered":"Re-Invigorating Old Data"},"content":{"rendered":"

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10 Ways DevOps teams are using Encanvas to lever maximum value from their aging data assets<\/h3>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”3.22.7″ custom_padding=”3px||1px|||”][et_pb_row custom_padding=”1px||3px|||” _builder_version=”3.22.7″][et_pb_column type=”4_4″ _builder_version=”3.22.7″][et_pb_text _builder_version=”3.22.7″ text_font=”Montserrat|300|||||||” text_font_size=”13px” custom_margin=”||38px|||” custom_padding=”12px|||||” animation_style=”fold” inline_fonts=”Georgia”]<\/p>\n

\n

Without data, you\u2019re just another person with an opinion<\/strong><\/span><\/p>\n<\/blockquote>\n

W. Edwards Deming, American Statistician<\/p>\n

[\/et_pb_text][et_pb_text _builder_version=”3.22.7″ text_font=”Montserrat|300|||||||” text_text_color=”#000000″ text_font_size=”15px” custom_padding=”||37px|||” animation_style=”fade”]<\/p>\n

Data matters and it\u2019s central to digital transformation. The problem is no matter how much companies invest in their data, and however they capture it, the quality will always be suspect. Without data, any ideas of digital transformation are likely to be a pipe dream.<\/p>\n

Most companies hoard gigabytes of data on their finances, their products, their customers and markets. The difficulty is that almost no enterprise has its data organized in a structure that makes it easy to access. As soon as business leaders come up with ideas for business model re-invention, probably the next thought in the minds of DevOps leaders is \u2018Where is the data coming from?\u2019<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ fullwidth=”on” admin_label=”Call to Actions” _builder_version=”3.22.7″ background_color=”#ffffff” custom_padding=”48px||” saved_tabs=”all” locked=”off”][et_pb_fullwidth_header title=”Learn more about ENCANVAS by speaking to an expert.” text_orientation=”center” button_one_text=”Request Demo” button_one_url=”https:\/\/www.encanvas.com\/request-demo” _builder_version=”3.22.7″ title_level=”h2″ title_font=”Montserrat|300|||||||” title_font_size=”28px” title_line_height=”1.4em” content_font=”Montserrat|300|||||||” content_text_color=”#ffffff” content_font_size=”18px” custom_button_one=”on” button_one_text_color=”#ffffff” button_one_border_color=”#ffffff” button_one_font=”Montserrat||||||||” button_one_icon=”%%36%%” button_one_icon_color=”#ffffff” min_height=”270px” custom_margin=”-55px|||||” custom_padding=”19px||22px|||” animation_style=”slide”][\/et_pb_fullwidth_header][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”3.22.7″ custom_padding=”3px||1px|||”][et_pb_row custom_padding=”25px|||||” custom_margin=”2px|auto||auto||” _builder_version=”3.22.7″ animation_style=”fade”][et_pb_column type=”4_4″ _builder_version=”3.22.7″][et_pb_text _builder_version=”3.22.7″ text_font=”Montserrat|300|||||||” text_text_color=”#000000″ text_font_size=”15px”]<\/p>\n

Digital transformation projects have a habit of either generating new data (as in the case of sensor network-centric projects) or re-using old data (such as plotting assets or customers on a map and gaining value from location-centric perspectives), or a blend of the two. Re-using data found within the enterprise can be challenging because of data quality issues, the variations of data structures and field formats between applications and issues getting data out of systems. This means DevOps teams need to have very good data management skills.<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ admin_label=”Ticket pricing” _builder_version=”3.22.7″ background_image=”https:\/\/www.encanvas.com\/wp-content\/uploads\/2019\/04\/bg-4.png” background_size=”initial” background_position=”bottom_right” custom_padding=”24px|0px|0|0px|false|false” animation_style=”roll” animation_delay=”150ms” animation_intensity_roll=”48%” global_module=”2584″ saved_tabs=”all”][et_pb_row custom_padding=”4px||8px|||” _builder_version=”3.22.7″][et_pb_column type=”4_4″ _builder_version=”3.22.7″][et_pb_text _builder_version=”3.22.7″ text_font=”Montserrat|300|||||||”]<\/p>\n

Watch A Video Intro to Encanvas<\/p>\n

[\/et_pb_text][\/et_pb_column][\/et_pb_row][et_pb_row custom_padding=”50px|50px|0|50px|false|false” _builder_version=”3.22.7″ background_image=”https:\/\/www.encanvas.com\/wp-content\/uploads\/2019\/04\/column-background-01.png”][et_pb_column type=”4_4″ _builder_version=”3.0.47″][et_pb_video src=”https:\/\/youtu.be\/_QcV-w-X_KY” image_src=”https:\/\/www.encanvas.com\/wp-content\/uploads\/2019\/05\/Screen-Shot-2019-05-22-at-15.00.50.png” _builder_version=”3.22.7″ custom_margin=”0px||” custom_padding=”0px||0px|||”][\/et_pb_video][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=”1″ _builder_version=”3.22.7″ min_height=”373px” custom_margin=”52px|||||” custom_padding=”3px||1px|||”][et_pb_row custom_padding=”17px|||||” custom_margin=”2px|auto||auto||” _builder_version=”3.22.7″ min_height=”540px”][et_pb_column type=”4_4″ _builder_version=”3.22.7″][et_pb_text _builder_version=”3.22.7″ text_font=”Montserrat|300|||||||” text_text_color=”#000000″ text_font_size=”15px”]<\/p>\n

How should DevOps teams approach their data challenges? Here are 10 ways DevOps teams are using Encanvas to breathe new life into their old data.<\/strong><\/span><\/p>\n

[\/et_pb_text][et_pb_toggle title=”1. Mashing data from different sources” _builder_version=”3.22.7″ title_font=”Montserrat||||||||” title_text_color=”#000000″ body_font=”Montserrat|300|||||||” body_text_color=”#000000″ body_font_size=”14px” animation_style=”fade”]<\/p>\n

Old data may be held in various applications and formats. It\u2019s not uncommon for Encanvas to gather information from spreadsheets, big back-office systems databases like SAP R3, IBM DB2, Microsoft Dynamics and SQL \u2013 all at the same time. Encanvas is a plug-and-play multi-threaded and multi-sourcing platform which means designers can create concurrent live data feeds from multiple systems or end-points at the same time. This capability is used extensively by designers when creating applications that re-use data from existing and new systems together, creating new data structures on the fly for the specific canvases they author as part of applications under development. <\/p>\n

[\/et_pb_toggle][et_pb_toggle title=”2. Special filters” _builder_version=”3.22.7″ title_font=”Montserrat||||||||” title_text_color=”#000000″ body_font=”Montserrat|300|||||||” body_text_color=”#000000″ body_font_size=”14px” animation_style=”fade”]<\/p>\n

Your old data may require filtering to select only the records relevant to your project. A powerful feature built into Encanvas\u2019s mashup environment is our special filter which allows designers to employ drag and drop controls to instantly create very powerful data filtering on inbound data from third party sources. Any number of filters can be applied to tables at the same time. For example, if a designer wants to only ingest data from a customer table of a specific type, and that relates to a specific region, they can create special filters for \u2018types\u2019 and \u2018regions\u2019 selecting only the records that apply to those conditions. All of this rich configuration is done without any coding and doesn\u2019t influence the integrity of the ingested table, or the potential re-use of data in its native form by other applications (or canvases). <\/p>\n

[\/et_pb_toggle][et_pb_toggle title=”1. Mashing data from different sources” _builder_version=”3.22.7″ title_font=”Montserrat||||||||” title_text_color=”#000000″ body_font=”Montserrat|300|||||||” body_text_color=”#000000″ body_font_size=”14px” animation_style=”fade”]<\/p>\n

Old data may be held in various applications and formats. It\u2019s not uncommon for Encanvas to gather information from spreadsheets, big back-office systems databases like SAP R3, IBM DB2, Microsoft Dynamics and SQL \u2013 all at the same time. Encanvas is a plug-and-play multi-threaded and multi-sourcing platform which means designers can create concurrent live data feeds from multiple systems or end-points at the same time. This capability is used extensively by designers when creating applications that re-use data from existing and new systems together, creating new data structures on the fly for the specific canvases they author as part of applications under development. <\/p>\n

[\/et_pb_toggle][et_pb_toggle title=”3. Enriching or validating data with third source data” _builder_version=”3.22.7″ title_font=”Montserrat||||||||” title_text_color=”#000000″ body_font=”Montserrat|300|||||||” body_text_color=”#000000″ body_font_size=”14px” animation_style=”fade”]<\/p>\n

If your old data can benefit from being enriched by other sources of data, Encanvas\u2019s mashup capabilities can really bring value by making the internal and external data accessible to applications designers without having to use coding or API to build new integrations.<\/p>\n

[\/et_pb_toggle][et_pb_toggle title=”4. Cleansing and transforming data” _builder_version=”3.22.7″ title_font=”Montserrat||||||||” title_text_color=”#000000″ body_font=”Montserrat|300|||||||” body_text_color=”#000000″ body_font_size=”14px” animation_style=”fade”]<\/p>\n

Sometimes old data requires cleansing at the point of transfer from its original location using a machine to machine cleansing and transforming process to shed unwanted data and apply transformation rules to re-order, de-dupe and re-locate data to new data structures. Encanvas Software Robots make possible machine-to-machine integrations.\u00a0 They equip designers with the means to configure ETL actions and normalize data before it gets ingested into applications. Our software robots also automate the generation of notices to alert designers (and users too if necessary) that transformations have worked – or not. Transformations can be triggered by events, scheduled times, watch folder changes and a variety of other means.<\/p>\n

[\/et_pb_toggle][et_pb_toggle title=”5. Quarantining data” _builder_version=”3.22.7″ title_font=”Montserrat||||||||” title_text_color=”#000000″ body_font=”Montserrat|300|||||||” body_text_color=”#000000″ body_font_size=”14px” animation_style=”fade”]<\/p>\n

A powerful (and pretty unique) feature of Encanvas lies in its ability to create quarantining protocols for old data that fails to live up to your expectations for data integrity. There are few good reasons to upload records that are unfit for purpose. If you are gathering customer records for example and would determine that records that fail to have any contact email, telephone or mobile numbers included are not suitable for use, then designers can create quarantining rules that filter this data out for special treatment. In such cases, the data remains \u2018in the system\u2019 but is no longer visible to users until it has been manually or machine cleaned.<\/p>\n

[\/et_pb_toggle][et_pb_toggle title=”6. Applying voting systems to ingested data sources and end-points” _builder_version=”3.22.7″ title_font=”Montserrat||||||||” title_text_color=”#000000″ body_font=”Montserrat|300|||||||” body_text_color=”#000000″ body_font_size=”14px” animation_style=”fade”]<\/p>\n

It may be that old data is being ingested from multiple systems or end-points and you need to create a new data mart that has to prioritize the best likely source of good quality data over others. This can get really complicated because different systems may create new data at different speeds and this can create latency issues but, nevertheless, Encanvas has the codeless tooling to enable designers to author voting systems to vote on which source is most trusted. Voting systems can use algorithms to automatically test data integrity and then automatically augment the voting structure, or they can be manual, where the data owner or manager uses a sliding scale of trust levels to determine which source is proving to generate the best results (or both!). <\/p>\n

[\/et_pb_toggle][et_pb_toggle title=”7. Creating new data” _builder_version=”3.22.7″ title_font=”Montserrat||||||||” title_text_color=”#000000″ body_font=”Montserrat|300|||||||” body_text_color=”#000000″ body_font_size=”14px” animation_style=”fade”]<\/p>\n

When there are gaps in your old data, there are many ways that Encanvas can create new data as part of its application design. For example, the numeric controls of Encanvas allow designers to create formulas and calculations on data to total columns, sum value, source averages etc. that may be required for your new dashboards and reports but do not exist in the ingested data. Encanvas also has the ability to ingest SQL script and DLLs to make it easy for DevOps teams to re-use existing code blocks or create new APIs and transformations.<\/p>\n

[\/et_pb_toggle][et_pb_toggle title=” 8. Location-centricity of data” _builder_version=”3.22.7″ title_font=”Montserrat||||||||” title_text_color=”#000000″ body_font=”Montserrat|300|||||||” body_text_color=”#000000″ body_font_size=”14px” animation_style=”fade”]<\/p>\n

Another way to create new data is by using Encanvas\u2019s mapping capabilities to apply location-data to existing addresses and locations. Encanvas has an integrated – and codeless – mapping engine (sometimes referred to as Geo-Spatial Intelligence, or \u2018GIS\u2019). It allows designers to plot and pin records on maps. The geo-data of records is added to the data-set (companies like Google and Microsoft charge lots of money to do this!).\n<\/p>\n

[\/et_pb_toggle][et_pb_toggle title=”9. IoT API” _builder_version=”3.22.7″ title_font=”Montserrat||||||||” title_text_color=”#000000″ body_font=”Montserrat|300|||||||” body_text_color=”#000000″ body_font_size=”14px” animation_style=”fade”]<\/p>\n

Parachute in a high profile technology-centric team with a strong leader into an organization with an existing IT department it\u2019s hardly surprising that you\u2019re going to have to put out some fires and smooth over a few ruffles.<\/p>\n

Balancing two-speed IT means having an internal IT team focused on reducing costs and improving process efficiencies through Business Transformation (BX) and a DevOps team re-inventing business models through Digital Transformation (DX) in tandem. Recognizing each team for its own skills and contributions to business outcomes and balancing praise is going to be important for a healthy culture.\n<\/p>\n

[\/et_pb_toggle][et_pb_toggle title=”10. Building a wholly new data structure” _builder_version=”3.22.7″ title_font=”Montserrat||||||||” title_text_color=”#000000″ body_font=”Montserrat|300|||||||” body_text_color=”#000000″ body_font_size=”14px” animation_style=”fade”]<\/p>\n

We\u2019ve saved the most dramatic way of fixing old data quality issues until last \u2013 because it\u2019s no small project to build a new data warehouse to gather and re-organize data into new structures but sometimes it\u2019s the most sustainable way to ensure that data integrity is preserved for the life of your application. For mission-critical processes, it\u2019s probably the best quality outcome although the time and investment needed to create a data warehouse or enterprise data-hub are definitely \u2018none trivial\u2019. Encanvas includes all of the codeless tooling needed to fast-track the creation of new data warehouses and data marts using the data repository of your choice \u2013 whether you are moving towards a big data solution like Hadoop or are seeking a more traditional data structure like SQL or DB2.<\/p>\n<\/p>\n

[\/et_pb_toggle][et_pb_text _builder_version=”3.22.7″ text_font=”Montserrat|300|||||||” text_text_color=”#000000″ text_font_size=”15px”]<\/p>\n

So there you have it \u2013 ten ways Encanvas can help you to turn old data into useful data for your next digital transformation.<\/p>\n

To find out more about the capabilities of Encanvas, please contact our team.<\/p>\n

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10 Ways DevOps teams are using Encanvas to lever maximum value from their aging data assets Without data, you\u2019re just another person with an opinion W. Edwards Deming, American StatisticianData matters and it\u2019s central to digital transformation. The problem is no matter how much companies invest in their data, and however they capture it, the quality will always be suspect. Without data, any ideas of digital transformation are likely to be a pipe dream. Most companies hoard gigabytes of data on their finances, their products, their customers and markets. The difficulty is that almost no enterprise has its data organized in a structure that makes it easy to access. As soon as business leaders come up with ideas for business model re-invention, probably the next thought in the minds of DevOps leaders is \u2018Where is the data coming from?\u2019Digital transformation projects have a habit of either generating new data (as in the case of sensor network-centric projects) or re-using old data (such as plotting assets or customers on a map and gaining value from location-centric perspectives), or a blend of the two. Re-using data found within the enterprise can be challenging because of data quality issues, the variations of data […]<\/p>\n","protected":false},"author":2,"featured_media":2555,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[3,5,7,28,30,32,35,38,41,48],"tags":[],"class_list":["post-2548","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-apaas","category-application-platform","category-business-intelligence","category-data-driven-decision-making","category-data-management","category-data-driven-culture","category-digital-transformation","category-enterprise-software","category-hpapaas","category-paas"],"yoast_head":"\nRe-Invigorating Old Data - USTech Solutions<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/ustechsolutions.com\/re-invigorating-old-data\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Re-Invigorating Old Data - USTech Solutions\" \/>\n<meta property=\"og:description\" content=\"10 Ways DevOps teams are using Encanvas to lever maximum value from their aging data assets Without data, you\u2019re just another person with an opinion W. Edwards Deming, American StatisticianData matters and it\u2019s central to digital transformation. The problem is no matter how much companies invest in their data, and however they capture it, the quality will always be suspect. Without data, any ideas of digital transformation are likely to be a pipe dream. Most companies hoard gigabytes of data on their finances, their products, their customers and markets. The difficulty is that almost no enterprise has its data organized in a structure that makes it easy to access. As soon as business leaders come up with ideas for business model re-invention, probably the next thought in the minds of DevOps leaders is \u2018Where is the data coming from?\u2019Digital transformation projects have a habit of either generating new data (as in the case of sensor network-centric projects) or re-using old data (such as plotting assets or customers on a map and gaining value from location-centric perspectives), or a blend of the two. Re-using data found within the enterprise can be challenging because of data quality issues, the variations of data […]\" \/>\n<meta property=\"og:url\" content=\"https:\/\/ustechsolutions.com\/re-invigorating-old-data\/\" \/>\n<meta property=\"og:site_name\" content=\"USTech Solutions\" \/>\n<meta property=\"article:published_time\" content=\"2019-05-22T13:27:01+00:00\" \/>\n<meta name=\"author\" content=\"Ian T\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Ian T\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"13 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/ustechsolutions.com\/re-invigorating-old-data\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/ustechsolutions.com\/re-invigorating-old-data\/\"},\"author\":{\"name\":\"Ian T\",\"@id\":\"https:\/\/ustechsolutions.com\/#\/schema\/person\/f3f2e8ad1382c8e4afb89398ec9b4236\"},\"headline\":\"Re-Invigorating Old Data\",\"datePublished\":\"2019-05-22T13:27:01+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/ustechsolutions.com\/re-invigorating-old-data\/\"},\"wordCount\":2524,\"image\":{\"@id\":\"https:\/\/ustechsolutions.com\/re-invigorating-old-data\/#primaryimage\"},\"thumbnailUrl\":\"\",\"articleSection\":[\"aPaaS\",\"Application Platform\",\"Business Intelligence\",\"Data Driven Decision Making\",\"Data Management\",\"Data-Driven Culture\",\"Digital Transformation\",\"Enterprise Software\",\"HPaPaaS\",\"PaaS\"],\"inLanguage\":\"en-US\"},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/ustechsolutions.com\/re-invigorating-old-data\/\",\"url\":\"https:\/\/ustechsolutions.com\/re-invigorating-old-data\/\",\"name\":\"Re-Invigorating Old Data - USTech Solutions\",\"isPartOf\":{\"@id\":\"https:\/\/ustechsolutions.com\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/ustechsolutions.com\/re-invigorating-old-data\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/ustechsolutions.com\/re-invigorating-old-data\/#primaryimage\"},\"thumbnailUrl\":\"\",\"datePublished\":\"2019-05-22T13:27:01+00:00\",\"author\":{\"@id\":\"https:\/\/ustechsolutions.com\/#\/schema\/person\/f3f2e8ad1382c8e4afb89398ec9b4236\"},\"breadcrumb\":{\"@id\":\"https:\/\/ustechsolutions.com\/re-invigorating-old-data\/#breadcrumb\"},\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/ustechsolutions.com\/re-invigorating-old-data\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/ustechsolutions.com\/re-invigorating-old-data\/#primaryimage\",\"url\":\"\",\"contentUrl\":\"\"},{\"@type\":\"BreadcrumbList\",\"@id\":\"https:\/\/ustechsolutions.com\/re-invigorating-old-data\/#breadcrumb\",\"itemListElement\":[{\"@type\":\"ListItem\",\"position\":1,\"name\":\"Home\",\"item\":\"https:\/\/ustechsolutions.com\/\"},{\"@type\":\"ListItem\",\"position\":2,\"name\":\"Re-Invigorating Old Data\"}]},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/ustechsolutions.com\/#website\",\"url\":\"https:\/\/ustechsolutions.com\/\",\"name\":\"USTech Solutions\",\"description\":\"Contingent Talent Solutions\",\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/ustechsolutions.com\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"en-US\"},{\"@type\":\"Person\",\"@id\":\"https:\/\/ustechsolutions.com\/#\/schema\/person\/f3f2e8ad1382c8e4afb89398ec9b4236\",\"name\":\"Ian T\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"en-US\",\"@id\":\"https:\/\/ustechsolutions.com\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/5ba984dd8bd6f155f62dc281dd796cc3f998a2bf843a38c6c46fc3363490fb85?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/5ba984dd8bd6f155f62dc281dd796cc3f998a2bf843a38c6c46fc3363490fb85?s=96&d=mm&r=g\",\"caption\":\"Ian T\"},\"url\":\"https:\/\/ustechsolutions.com\/author\/ian\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Re-Invigorating Old Data - USTech Solutions","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/ustechsolutions.com\/re-invigorating-old-data\/","og_locale":"en_US","og_type":"article","og_title":"Re-Invigorating Old Data - USTech Solutions","og_description":"10 Ways DevOps teams are using Encanvas to lever maximum value from their aging data assets Without data, you\u2019re just another person with an opinion W. Edwards Deming, American StatisticianData matters and it\u2019s central to digital transformation. The problem is no matter how much companies invest in their data, and however they capture it, the quality will always be suspect. Without data, any ideas of digital transformation are likely to be a pipe dream. Most companies hoard gigabytes of data on their finances, their products, their customers and markets. The difficulty is that almost no enterprise has its data organized in a structure that makes it easy to access. As soon as business leaders come up with ideas for business model re-invention, probably the next thought in the minds of DevOps leaders is \u2018Where is the data coming from?\u2019Digital transformation projects have a habit of either generating new data (as in the case of sensor network-centric projects) or re-using old data (such as plotting assets or customers on a map and gaining value from location-centric perspectives), or a blend of the two. 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