{"id":342550,"date":"2017-06-02T03:00:26","date_gmt":"2017-06-01T19:00:26","guid":{"rendered":"http:\/\/techcrunch.com\/?p=1498379"},"modified":"2017-06-02T03:00:26","modified_gmt":"2017-06-01T19:00:26","slug":"stripe-launches-sigma-a-new-analytics-tool-to-help-businesses-track-payments-data","status":"publish","type":"post","link":"https:\/\/people.utm.my\/asmawisham\/stripe-launches-sigma-a-new-analytics-tool-to-help-businesses-track-payments-data\/","title":{"rendered":"Stripe launches Sigma, a new analytics tool to help businesses track payments data"},"content":{"rendered":"

<\/p>\n

Payments startup Stripe is always on the lookout for ways it can help its users make better use of its APIs, and occasionally builds new products to solve common problems they face. A good example of that is Sigma, a new data analytics tool the company is rolling out today.<\/p>\n

Sigma is a fully customizable SQL tool that will be available as part of all Stripe accounts. The idea behind it is to eliminate the need for Stripe customers to build their own data analytics tooling. That would usually mean building a data pipeline and data warehouse where users would pull information from Stripe before analyzing it.<\/p>\n

Instead, Sigma makes data analytics available directly in the Stripe dashboard. Companies running Stripe will have access to real-time information with no setup work or ongoing maintenance necessary. It allows anyone in a business (with permission) to now be able to write simple queries that will give them deeper insights into their business.<\/p>\n

\"\"<\/a>Queries can be written in SQL, and shared or saved by users, allowing them to track how different metrics change over time. Sigma provides a series of templates that will allow businesses to easily figure out which customers might have unpaid invoices this month, what their recurring revenue is in a certain time period or what their average revenue per user might be.<\/p>\n

\u201cBecause Sigma is a query editor, you can express any question or query or analysis of your business data,\u201d\u00a0Stripe co-founder Patrick Collison told me in a phone interview this week. \u201cIt has immense flexibility built right into it. Rather than providing specific reports or pre-packaged data, we\u2019re creating maximally flexible tools.\u201d<\/span><\/p>\n

Collison likened the development of Sigma to its launch of Radar<\/a>, a fraud prevention machine learning tool that Stripe launched last fall. In both cases, Stripe is tackling a common problem many of its users face, while taking advantage of the resources and data it has internally.<\/p>\n

\u201cWe\u2019re always looking\u00a0at common challenges our users are facing,\u201d Collison said. \u201cWith Sigma, we heard from a lot of businesses that they had various analytics needs. We wanted to eliminate as much duplicative work across the platform and give them a flexible query interface. We believe all of these different needs and different use cases can be solved across a common set of tools.\u201d<\/p>\n

The company is launching Sigma today at Stripe Sessions, its first-ever conference for hundreds of Stripe users. Collison said it wasn\u2019t exactly Dreamforce, but Sessions would be an opportunity to get some of its large and diverse user base together and get feedback from them.<\/p>\n

\u201cStripe has always been very developer-driven and we\u2019ve done very little in terms of informing people what we\u2019re doing instead of just publishing things on our website,\u201d he said. \u201cWe\u2019re trying to evolve how we engage with our users\u2026 and we hope this will be a valuable way for them to learn more about Stripe.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"

\"\" Payments startup Stripe is always on the lookout for ways it can help its users make better use of its APIs, and occasionally builds new products to solve common problems they face. A good example of that is Sigma, a new data analytics tool the company is rolling out today. Read More<\/a><\/p>\n

\n<\/img><\/a> <\/img><\/a> <\/img><\/a> <\/img><\/a> <\/img><\/a> <\/img><\/a>\n<\/div>\n

\"\"\/ <\/p>\n","protected":false},"author":5817,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_et_pb_use_builder":"","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"categories":[25],"tags":[59,66,26],"class_list":["post-342550","post","type-post","status-publish","format-standard","hentry","category-technology","tag-media","tag-techcrunch","tag-technology"],"_links":{"self":[{"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/posts\/342550","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/users\/5817"}],"replies":[{"embeddable":true,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/comments?post=342550"}],"version-history":[{"count":0,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/posts\/342550\/revisions"}],"wp:attachment":[{"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/media?parent=342550"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/categories?post=342550"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/people.utm.my\/asmawisham\/wp-json\/wp\/v2\/tags?post=342550"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}