{"id":212,"date":"2019-06-03T09:35:18","date_gmt":"2019-06-03T09:35:18","guid":{"rendered":"https:\/\/www.packeddata.com\/blog\/?p=212"},"modified":"2019-06-03T09:35:20","modified_gmt":"2019-06-03T09:35:20","slug":"the-best-time-to-cleanse-your-data-is-now","status":"publish","type":"post","link":"https:\/\/www.packeddata.com\/blog\/the-best-time-to-cleanse-your-data-is-now\/","title":{"rendered":"The best time to cleanse your data is now!"},"content":{"rendered":"\n

Across nearly every industry, data has become a key driver\nfor critical business initiatives. At the same time, data will only add value\nto your business when it is trustworthy and actionable. Companies of all sizes\nneed to be aware of the power and liability of their data and should have a\nrobust and reliable data quality management strategy in place that aligns with\nthe needs of the entire organization.<\/p>\n\n\n\n

Databases are highly\ndynamic, so the quality of a company\u00e2\u20ac\u2122s data constantly changes. If you\u00e2\u20ac\u2122re not\nconstantly purging the decayed data, it is likely that your data is outdated at\na rate faster than you may think. <\/p>\n\n\n\n

Most CRM systems are estimated to suffer data decay of 25% to 30% annually. This can cause harm in sales performance and hurt your company in the long run.<\/em><\/strong><\/p>\n\n\n\n

Old and inaccurate data can have an\nadverse impact on results and marketers need to ensure that the data is\ncorrect, consistent and useable by identifying any errors or corruptions in the\ndata, correcting or deleting them, or manually processing them as needed to\nprevent the error from happening again.<\/p>\n\n\n\n

While some of data cleaning can be\ndone by software, it must be monitored and inconsistencies reviewed. The manual\npart of the process is what can make data cleaning an overwhelming task. Therefore\ndata cleaning is imperative and our team at Packed Data Services can help in enhancing your data<\/a>.<\/p>\n\n\n\n

Here are several key benefits that come out of the data cleaning process:<\/p>\n\n\n\n

1.It removes major errors and inconsistencies that are inevitable when multiple sources of data are getting pulled into one dataset.<\/p>\n\n\n\n

2. Further standardizing the data procured from multiple sources will bring uniformity and will make everyone more efficient since they\u00e2\u20ac\u2122ll be able to quickly get what they need from the data.<\/p>\n\n\n\n

3. Once the data collection is standardized, then cleansing or removing duplicate data is critical because duplicate data can skew large data sets if they exist within the system.<\/p>\n\n\n\n

4. Avoids spending precious time and money in reaching out to invalid emails by removing or updating outdated data. Data usually has a short shelf life since several people change their jobs or their job title gets changed in the same company. <\/p>\n\n\n\n

5. Fewer errors mean happier customers and fewer frustrated employees.<\/p>\n\n\n\n

6. The ability to map the different functions and what your data is intended to do and where it is coming from your data.<\/p>\n\n\n\n

Data enrichment services help\norganizations take current data, assess its validity, and tweak it to make it\nmore meaningful. You can perform these audits on your own, or you can\ntrust teams like ours at Packed Data\nServices<\/a> to enrich your data for you. We can\nalso append your current data with new information, so your team can gain new\ninsights about your prospects. This process will improve the quality of your\ndata-driven marketing and sales.<\/p>\n","protected":false},"excerpt":{"rendered":"

Across nearly every industry, data has become a key driver for critical business initiatives. At the same time, data will only add value to your business when it is trustworthy and actionable. Companies of all sizes need to be aware of the power and liability of their data and should have a robust and reliable […]<\/p>\n","protected":false},"author":2,"featured_media":217,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-212","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-marketing"],"yoast_head":"\nThe best time to cleanse your data is now! - Marketing Intelligence Blog - Packed Data Services<\/title>\n<meta name=\"description\" content=\"Most CRM systems are estimated to suffer data decay of 25% to 30% annually. 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This can cause harm in sales performance and hurt your company in the long run.\" \/>\n<meta property=\"og:url\" content=\"https:\/\/www.packeddata.com\/blog\/the-best-time-to-cleanse-your-data-is-now\/\" \/>\n<meta property=\"og:site_name\" content=\"Marketing Intelligence Blog - Packed Data Services\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/packeddata\" \/>\n<meta property=\"article:published_time\" content=\"2019-06-03T09:35:18+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2019-06-03T09:35:20+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/www.packeddata.com\/blog\/wp-content\/uploads\/2019\/06\/How-Crucial-Is-Data-Cleansing.jpg\" \/>\n\t<meta property=\"og:image:width\" content=\"600\" \/>\n\t<meta property=\"og:image:height\" content=\"300\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"Daniel George\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@packeddata\" \/>\n<meta name=\"twitter:site\" content=\"@packeddata\" \/>\n<meta name=\"twitter:label1\" content=\"Written by\" \/>\n\t<meta name=\"twitter:data1\" content=\"Daniel George\" \/>\n\t<meta name=\"twitter:label2\" content=\"Est. reading time\" \/>\n\t<meta name=\"twitter:data2\" content=\"2 minutes\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\\\/\\\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/the-best-time-to-cleanse-your-data-is-now\\\/#article\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/the-best-time-to-cleanse-your-data-is-now\\\/\"},\"author\":{\"name\":\"Daniel George\",\"@id\":\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/#\\\/schema\\\/person\\\/a76bd800c6166bf7c824c9320a5eec52\"},\"headline\":\"The best time to cleanse your data is now!\",\"datePublished\":\"2019-06-03T09:35:18+00:00\",\"dateModified\":\"2019-06-03T09:35:20+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/the-best-time-to-cleanse-your-data-is-now\\\/\"},\"wordCount\":488,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/#organization\"},\"image\":{\"@id\":\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/the-best-time-to-cleanse-your-data-is-now\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/wp-content\\\/uploads\\\/2019\\\/06\\\/How-Crucial-Is-Data-Cleansing.jpg\",\"articleSection\":[\"Marketing\"],\"inLanguage\":\"en-US\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/the-best-time-to-cleanse-your-data-is-now\\\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/the-best-time-to-cleanse-your-data-is-now\\\/\",\"url\":\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/the-best-time-to-cleanse-your-data-is-now\\\/\",\"name\":\"The best time to cleanse your data is now! - Marketing Intelligence Blog - Packed Data Services\",\"isPartOf\":{\"@id\":\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/the-best-time-to-cleanse-your-data-is-now\\\/#primaryimage\"},\"image\":{\"@id\":\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/the-best-time-to-cleanse-your-data-is-now\\\/#primaryimage\"},\"thumbnailUrl\":\"https:\\\/\\\/www.packeddata.com\\\/blog\\\/wp-content\\\/uploads\\\/2019\\\/06\\\/How-Crucial-Is-Data-Cleansing.jpg\",\"datePublished\":\"2019-06-03T09:35:18+00:00\",\"dateModified\":\"2019-06-03T09:35:20+00:00\",\"description\":\"Most CRM systems are estimated to suffer data decay of 25% to 30% annually. 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