Talk:Sisense

Starting article

I started this article (June 2014) and hope to expand it a bit in the coming weeks. I work for SiSense, and am striving to observe best practices by presenting only factual information cited to high quality independent sources. I look forward to feedback from uninvolved Wikipedians. -Itayerez (talk) 07:37, 11 June 2014 (UTC)

I am about to add a history section to this article. Next week I plan to add another section on SiSense's technology. Feedback and improvements welcome as always. -Itayerez (talk) 11:55, 2 November 2014 (UTC)

Technology request

This is a request submitted for Sisense: I am an employee of the company and work in the communications department. I joined the team fairly recently and over the last couple months, I have been educating myself about Wikipedia's best practices. Our company has made some missteps here in the past due to lack of knowledge about the Terms of Use and guidelines, but I intend to follow the rules and help fix the issues on the Sisense page. Based on my understanding so far, a fair number of the references are not what Wikipedia editors would prefer . To get started on fixing these, I wanted to make a request for the "Technology" section where the references seem worst and where the content feels very jargony (even in my eyes!). I've found some new links to better sources (TechCrunch, ZDNet and CIO) to replace the blog posts and non-reliable sources used (Solutions Review, KM World, KD Nugget etc). I've tried to keep this short and simple, so the drafted content is a basic overview of the company's technology:

Extended content

Sisense offers software solutions for analytics, business intelligence, and data science. The company develops software that allows users to access and analyze big data. Its software uses what the company has termed an "in-chip" database engine for analytics, rather than an in-memory database engine. After the company acquired Periscope Data in 2019, it was able to add data science to predictive analytics to its set of services.

The company's analytics suite, Sisense Fusion, allows developers to build embedded, analytics-focused applications. It uses artificial intelligence and machine learning to analyze data, and provides its users with data insights and visualizations. The platform allows users to develop customized analytics dashboards and data visualization depending on the industry and the role within a business that will access the information. The company's software can provide alerts when its analytics detect results outside of normal parameters for a particular metric, so that users are informed of anomalous results even if they do not go to the dashboard.

As of 2021, the software platform integrates with platforms such as Adobe Analytics, AWS, Microsoft Azure Synapse Analytics, and Snowflake to provide users with the data input for analysis.

Can this draft be used to replace the existing Technology text and references? Looking forward to comments and feedback! Kat at Sisense (talk) 19:44, 20 August 2021 (UTC)

 Not done @Kat at Sisense: the prose is written as if it is the company's website rather then an encyclopedia. In addition, Wikipedia is not interested in what a company says about itself so content attributed to what a representative states is unusable (interviews, "it claims"," it states" are red flags). I will leave you some additional information on your talk page. S0091 (talk) 23:24, 28 August 2021 (UTC)

Thank you, User:S0091. This is really disappointing to hear, but I am very appreciative of the feedback so I can go back and improve this. I know the Technology content on the page right now is not at all ideal for Wikipedia (the sourcing and the way it's written), and I want to help improve it. So I'm understanding your feedback correctly, are you suggesting that I should not use some of the sources that I've included in my draft? If so, which ones? Or is it that I should only include details from them that are not attributable to the company in the source? Appreciate it! Kat at Sisense (talk) 18:42, 9 September 2021 (UTC)

References

History request

This is a request submitted for Sisense: I am an employee of the company and work in the communications department. While I work on improving my request for the Technology section, I wanted to continue to see if I can help with fixing issues with this page. This request is for the History section. I've tried to make it read more like a history of the company rather than a list of funding round announcements, add some sources to make sure that everything has a citation (there are a couple of sentences in the History now that are unsourced), and remove wording that didn't seem encyclopedic (for example "stealth mode", "with participation from", "cementing its status").

Extended content

Sisense was founded in 2004 in Tel Aviv, Israel as a provider of business intelligence tools for small to midsize businesses. The company initially focused on research and development and did not formally publicize its products until 2010. Initial investors included venture capital firms Genesis Partners and Opus Capital and private investor Eli Farkash.

By 2012, Sisense had raised $10 million and expanded its operations to the United States. That same year, Amit Bendov was appointed as the company's CEO. Series B and C financing followed in 2013 and 2014, respectively, at which point Sisense had raised $44 million. TechCrunch noted that Sisense's growth and funding during this period reflected the degree to which it made big data analytics accessible to ordinary business users. By 2014, the company had opened an office in New York, and nearly 70 percent of its sales were in the U.S. to clients including eBay, ESPN, and Target.

In 2015, Amir Orad was appointed CEO, replacing Bendov. Orad previously served as CEO of NICE Actimize. Series C and D funding followed in 2016 and 2018, respectively, bringing Sisense’s total funding to $174M over five rounds.

In May 2019, Sisense acquired Periscope Data, a U.S.-based company specializing in advanced analytics and predictive modeling. The combined company represented more than $100 million in annual recurring revenue, over 2,000 customers, and more than 700 employees. With another round of funding of January 2020, Sisense reached a valuation exceedling $1 billion, often referred to as unicorn status.

In February 2021, Sisense was listed as a “visionary” on the Gartner Magic Quadrant for analytics and business intelligence platforms. It was the fourth time the company had been featured on the list.

Can this draft be used to replace the existing History text and references? Once again, looking forward to comments and feedback! Kat at Sisense (talk) 18:46, 9 September 2021 (UTC)

Hi again, I'm following up here to see if any past editors such as User:MB would be willing to look at this request? I was looking at the edit history and saw that MB had added the "advert" tag to the page: with this request I'm aiming to clean up some of the promotional, un-encyclopedic wording, improve sourcing, and make this section read more like a history of the company than a list of funding round announcements, to help address the issues you flagged. Thank you. Kat at Sisense (talk) 21:23, 26 October 2021 (UTC)

@Kat at Sisense:  Done. I did not include the press release source for Bendov's appointment and replaced it with his Bloomberg profile only to confirm his start date as CEO. Thanks, Heartmusic678 (talk) 12:45, 28 December 2021 (UTC)

References

Updated Technology request

This is a request submitted for Sisense: I am an employee of the company and work in the communications department. I'm following up with a fresh request for the "Technology" section, after editing my draft based on feedback received above. As I mentioned before, the references in the existing section are not good (blog posts and non-reliable sources such as Solutions Review, KM World, KD Nugget etc) and the content feels very jargony. I've trimmed down my draft and updated it, removing the sourcing that used a lot of Sisense's perspective.

Extended content

The company develops business intelligence software that allows users to access and analyze big data. Its software uses a chip-based database engine for analytics, rather than an in-memory database engine.

The company's analytics suite, Sisense Fusion, uses artificial intelligence and machine learning to analyze data. Users of the platform can set up customized analytics dashboards and data visualization depending on the industry and the role within a business that will access the information. The company's software can provide alerts when its analytics detect results outside of normal parameters for a particular metric, so that users are informed of anomalous results even if they do not go to the dashboard. In 2019, the company acquired data science software company Periscope Data, and renamed its software to Sisense for Cloud Data Teams.

As of 2021, the software platform integrates with platforms such as Adobe Analytics, AWS, Microsoft Azure Synapse Analytics, and Snowflake to provide users with the data input for analysis.

To explain my reasoning behind these changes, here is a breakdown of the current Technology text and sources, compared with my suggestions:

Extended content

In April 2013, Sisense introduced an alternative to in-memory technology called In-Chip analytics, designed to maximize the disk, memory and CPU with resulting low latency.

• The sources for this are tagged respectively as a contributor post and blog post; this also strikes me as being jargony for Wikipedia. In my draft, I used a different source and just briefly stated that Sisense uses chip-based database technology.

Sisense Fusion allows users to join and analyze complex large data sets.

• These sources (Solutions Review and KMWorld) don't seem appropriate for Wikipedia. In my draft, I've used TechCrunch, ZDNet and CIO to provide an overview of the software and what it does.

In May 2013, Sisense unveiled Prism 10X, designed for analyzing data. The company's In-Chip Analytics technology couples a columnar database with smart algorithms that use the in-chip cache, RAM or computer disk as needed.

• This reads very jargony to me. It also uses sources that don't seem appropriate for Wikipedia (KDNuggets and Solutions Review). As noted above, I used a new source to briefly note that the company uses a chip-based database.

In October 2013, Sisense introduced Crowd Accelerated BI.

• Again, very jargony and doesn't explain to readers what this is. I have cut this entirely in my draft.

In April 2017, Sisense introduced Sisense Pulse which provides alert when it detects results outside of normal parameters for a particular metric.

• I have kept this source but reworded this to explain more clearly what Pulse does.

Does this updated draft work to replace the existing Technology text and references? Looking forward to comments and feedback! Kat at Sisense (talk) 21:26, 26 October 2021 (UTC)

 Done with a few edits to adhere to a neutral tone. I removed any redundant content as well as the ad tag due to the updates. Thanks, Heartmusic678 (talk) 12:03, 29 December 2021 (UTC)

References