{"id":7517,"date":"2018-03-11T16:44:48","date_gmt":"2018-03-11T11:14:48","guid":{"rendered":"http:\/\/www.allerin.com\/blog\/?p=7517"},"modified":"2018-03-11T15:08:52","modified_gmt":"2018-03-11T09:38:52","slug":"10-big-data-new-years-resolutions-your-business-must-take","status":"publish","type":"post","link":"https:\/\/www.allerin.com\/blog\/10-big-data-new-years-resolutions-your-business-must-take\/","title":{"rendered":"10 big data New Year\u2019s resolutions your business must take"},"content":{"rendered":"

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Big data has been making a lot of noise since thelast year, and is expected to continue doing so. Big data applications have already started improving the production of companies. One such example is that of the Kuwait Oil Company that boosted its production by 2-5%<\/a> in an optimization exercise supported by big data tools. Big data will continue to gain relevance in the coming year and if your business is still lacking big data or has recently implemented it, here are ten big data New Year\u2019s resolutions that you should consider taking up.<\/p>\n

\"\"<\/a><\/p>\n

1. Take the Big Data plunge<\/h1>\n

No matter what business you\u2019re into, if you haven\u2019t already started a big data project, it is high-time you take the big data plunge.<\/p>\n

2. Brief Yourself<\/h1>\n

Go back to your database and analyze the structure and quality of information you already possess.<\/p>\n

3. Look for opportunities<\/h1>\n

Hunt for valuable data in residual files. You can build additional data sources from the information you\u2019re already storing.<\/p>\n

4. Create new sources<\/h1>\n

Research the vivid factors that are affecting your business. Now, you can look for publicly available data (viz. weather) that you can use to account for surplus factors.<\/p>\n

5. Make your data great again!<\/h1>\n

A lot of data stored in logs and databases is unstructured. Look for an efficient machine learning tool to structure your data and improve its quality and usability for big data applications.<\/p>\n

6. Form a structure<\/h1>\n

Create a protocol to manage big data. Keep testing the results while trusting the data and make data-driven decision-making a constant practice in your company.<\/p>\n

7. Collaborate<\/h1>\n

Because big data is not just about analysts or the IT team, you should often hold meetings across teams to brainstorm new possible avenues for your big data projects.<\/p>\n

8. Report Smart<\/h1>\n

Dull spreadsheet reports are a thing of the past. Make sure you are using big data tools to generate interactive charts that can help your analysts pick valuable insights.<\/p>\n

9. Stay on the Radar<\/h1>\n

Keep looking for new developments in the big data space. Stay up-to-date with latest software updates and evolving algorithms to improve your project.<\/p>\n

10. Set Periodic Goals<\/h1>\n

The successful implementation of a big data project involves a long timeline. Avoid delays, constantly update your trajectories and set periodic goals for your team.<\/p>\n

<\/h6>\n

With the above resolutions set for the New Year, you can rest assure that your business enterprise gains an edge over the others by implementing big data the right way. Hope the above resolutions haven\u2019t filled your plate too much (especially if you\u2019re on a diet this season). You can add or exclude from the above list depending on where you are on the big data execution timeline. Big data continues to be a phenomenon<\/a> that is changing the way we manage information. Do not forget to keep your data policies updated and flexible to comply with the way you are using public data sources. Have a great year ahead!<\/p>\n","protected":false},"excerpt":{"rendered":"

Big data has been making a lot of noise since thelast year, and is expected to continue doing so. Big data applications have already started improving the production of companies….<\/p>\n","protected":false},"author":1,"featured_media":7740,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[3,126],"tags":[562],"class_list":["post-7517","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-technology","category-big-data","tag-big-data-new-years-resolution"],"_links":{"self":[{"href":"https:\/\/www.allerin.com\/blog\/wp-json\/wp\/v2\/posts\/7517","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.allerin.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.allerin.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.allerin.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.allerin.com\/blog\/wp-json\/wp\/v2\/comments?post=7517"}],"version-history":[{"count":10,"href":"https:\/\/www.allerin.com\/blog\/wp-json\/wp\/v2\/posts\/7517\/revisions"}],"predecessor-version":[{"id":7733,"href":"https:\/\/www.allerin.com\/blog\/wp-json\/wp\/v2\/posts\/7517\/revisions\/7733"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.allerin.com\/blog\/wp-json\/wp\/v2\/media\/7740"}],"wp:attachment":[{"href":"https:\/\/www.allerin.com\/blog\/wp-json\/wp\/v2\/media?parent=7517"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.allerin.com\/blog\/wp-json\/wp\/v2\/categories?post=7517"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.allerin.com\/blog\/wp-json\/wp\/v2\/tags?post=7517"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}