Attensity’s Newest Partner
February 17, 2009
Attensity is out leveraging its text analytics software. The company just partnered up with enherent whose tagline is “Gather, manage and transform your data and content into timely, secure, actionable intelligence.” Now enherent will be using Attensity’s software to perform the analytics, manage risk, and review customer input on a larger scale. A press release said the idea is to take advantage of new “ideas in a time when business success depends on innovation.” While enherent gets the Attensity’s First Person Intelligence Platform with its vocabularies, analytics and subject matter expertise, Attensity gets exposure to a long list of customers and resources, more expertise in text analytics to advance its skill sets and a higher profile in the industry. Attensity looks like it’s making smart decisions for the future. Keep an eye on them.
Jessica W. Bratcher, February 17, 2009
Attensity and Tremendous Momentum
October 3, 2008
With the economy in the US stumbling along, I found Attensity’s September 30, 2008, “Momentum” news release intriguing. The information issued by the the analytics company is here. I had to struggle to decipher some of the jargon. For example, First Person Intelligence. This is a product name with a trademark. The idea is that email or phone calls from a customer are analyzed by Attensity. The resulting insights yield information about a particular customer; hence, First Person Intelligence. You can see FPI in action by clicking here. The company won an award called the Stevie. If you are curious or you want to enter to compete to snag the 2009 award, click here. I think I know what text analytics is, so I jumped to VoC. The acronym means “voice of the customer.” I think the notion is that a company pays attention to emails, call center notes, and survey data. I’m not certain if VoC is a subset of FPI or if VoCis the broader concept and FPI is a subset of VoC.
The core of the news release is that Attensity has landed some major accounts. Customer names are tough to come by, so you may want to note these organizations who have licensed the Attensity technology but hopefully not the jargon:
- JetBlue
- Royal Bankk of Canada
- Travelocity
For me, the most useful part of the company-written article was this passage:
The text analytics market is rapidly moving out of the early adopter stage. Industry analyst firm Hurwitz & Associates estimates an annual growth rate for this market at 30 to 50 percent. According to a survey conducted last year by the firm, the largest growth area is in customer care-related applications. In fact, over 70 percent of the companies surveyed that had deployed, or were considering deploying the technology, cited customer care as a key application area.
The growth rate does not match my calculation which pegs growth at a more leisurely 10 to 18 percent on an annual basis. The Hurwitz organization is much larger than this single goose operation. Endangered species like this addled goose are more conservative, and its estimates in a grim financial market are less optimistic than other consultants’ and analysts’.
In my Beyond Search study for the Gilbane Group, published in April 2008, I gave Attensity high marks. Its deep extraction technology yields useful metadata. Since my early 2008 analysis, Attensity has worked hard to productize its system. Calls centers are a market segment in need of help. Most companies want to contain support costs.
In my opinoin, Attensity’s technology is better than its explanation of its products and those products names. I wonder if the addition of marketers to a technology-centric company is a benefit or a drawback. Thoughts?
Stephen Arnold, October 3, 2008
Attensity and BzzAgent: What’s the Angle
September 14, 2008
Attensity made a splash in the US intelligence community after 2001. A quick review of Attensity’s news releases suggests that the company began shifting its marketing emphasis from In-Q-Tel related entities to the enterprise in 2004-2005. By 2006, the company was sharpening its focus on customer support. Now Attensity is offering a wider range of technologies to organizations wanting to deal with their customers using Attensity’s technology.
In August 2008, the company announced that it had teamed up with the oddly named BzzAgent to provide insights into consumer conversations. BzzAgent, a specialist in word of mouth media. You can learn more about WOM–that is, word of mouth marketing–at the company’s Web site here.
The Attensity technology makes it possible for BzzAgent to squeeze meaning out of email or any other text. With the outputs of the Attensity system, BzzAgent can figure out whether a product is getting marketing lift or down draft. Other functionality provides beefier metrics to buttress the BaaAgent’s technology.
The purpose of this post is to ask a broader question about content processing and text analytics? To close, I want to offer a comment about the need to find places to sell rocket science information technology.
Why Chase Customer Support?
The big question is, “Why chase customer support?” Call centers, self service Web sites, and online bulletin board systems have replaced people in many organizations. In an effort to slash the cost of support, organizations have outsourced help to countries with lower wages than the organization’s home country. In an interesting twist of fate, Indian software outsourcing firms are sending some programming and technical work back to the US. Atlanta has been a beneficiary of this reverse outsourcing, according to my source in the Peach State.
Attensity’s technology performs what the company once described as “deep extraction.” The idea is to iterate through source documents. The process outputs metadata, entities, and a wide range of data that one can slice, dice, chart, and analyze. Attensity’s technology is quite advanced, and it can be tricky to optimize to get the best performance from the system on a particular domain of content.
Customer support appears to be a niche that functions like a hamburger to a hungry fly buzzing around tailgaters at the college football game. Customer support, despite vendors’ efforts to reduce costs and keep customers happy, has embraced every conceivable technology. There are the “live chat” telepresence services. There work fine until the company realizes that customers may be in time zones when the company is not open for business. There are the smart systems like the one Yahoo deployed using InQuira’s technology. To see how this works, navigate to Yahoo help central, type this question “How do I can premium email?”, and check out the answers. There are even more sophisticated systems deployed using tools from such companies as RightNow. This firm includes work flow tools and consulting to improve customer support services and operations.
The reason is simple–customer support remains a problem, or as the marketers say, “An opportunity.” I know that I avoid customer support whenever possible. Here’s a typical example. Verizon sent me a flier that told me I could reduce my monthly wireless broadband bill from $80 to $60. It took a Web site visit and six telephone calls to find out that the lower price came with a five gigabyte bandwidth cap. Not only was I stressed by the bum customer support experience, I was annoyed at what I perceived rightly or wrongly as the duplicity of the promotion. Software vendors jump at the chance to license Verizon a better mousetrap. So far, costs may have come down for Verizon, but this mouse remains far away from the mouse trap.
The new spin on customer support rotates around one idea: find out stuff * before * the customer calls, visits the Web site, or fires up a telepresence session.
That’s where Attensity’s focus narrows its beam. Attensity’s rocket science technology can support zippy new angles on customer support; for example, BzzAgent’s early warning system.
What’s This Mean for Search and Content Processing?
For me that is the $64 question. Here’s what I think:
- Companies like Attensity are working hard to find niches where their text analytics tools can make a difference. By signing licensing deals with third parties like BzzAgent, Attensity gets some revenue and shifts the cost of sales to the BzzAgent’s team.
- Attensity’s embedding or inserting its technology into BzzAgent’s systems deemphasizes or possibly eliminates the brand “Attensity” from the customers’ radar. Licensing deals deliver revenue with a concomitant loss of identify. Either way, text analytics moves from the center stage to a supporting role.
- The key to success in Attensity’s marketing shift is getting to the new customers first. A stampede is building from other search and content processing vendors to follow a very similar strategy. Saturation will lower prices, which will have the effect of making the customer support sector less attractive to text processing companies than it is now. ClearForest was an early entrant, but now the herd is arriving.
The net net for me is that Attensity has been nimble. What will the arrival of other competitors in the customer support and call center space mean for this niche? My hunch is that search and content processing is quickly becoming a commodity. Companies just discovering the customer support market will have to displace established vendors such as InQuira and Attensity.
Search and content processing certainly appear to be headed rapidly toward commoditization unless the vendor can come up with a magnetic, value add.
Stephen Arnold, September 14, 2008
Attensity Lassos Brands with BzzAgent Tie Up
August 20, 2008
Attensity, a text analytics and content processing company, applies its “deep extraction” methods to law enforcement and customer support tasks. The company has formed a partnership with BzzAgent. You can find out more about this firm here. This Boston-based firm specializes in the delightfully named art of WOM, shorthand for “word of mouth” marketing. The company’s secret sauce is more than 400,000 WOM volunteers. Attensity’s technology can process BzzAgent’s inputs and deliver useful brand cues. Helen Leggatt’s “Marketers to Get ‘Unrivaled Insights’ into WOM.” You can read this interesting article here. For me, the most interesting point is Ms. Leggatt’s article was:
Each month, BzzAgent’s volunteers submit around 100,000 reports. Attensity’s text analytics technology will analyze the data contained within these reports to identify “facts, sentiment, opinions, requests, trends, and trouble spots”.
Like other content processing companies, Attensity is looking for ways to expand into new markets with its extraction and analytic technology. Is this a sign of vitality, or is it a hint that content processing companies are beginning to experience a slow down in other market sectors? Anyone have thoughts on this type of market friction?
Stephen Arnold, August 20, 2008
Attensity: Packaging Text Processing for Higher Value Applications
June 5, 2008
Enterprise search is like a poinsettia three weeks after the holidays. The form of the lovely plant remains, but the color is gone. Poinsettia look unhealthy, and my mother callously tossed them in the trash.
Attensity has been working to take its core content processing technology and apply it to problems where search-and-retrieval won’t work or have already failed. With a modest cash infusion from the CIA’s not-so-secret venture arm, Attensity refined its “deep extraction” technology and looked for big problems remained unresolved by other vendors.
For example, customer support is a sore spot. It’s expensive. It’s hard to manage because turnover often soars to 50 to 60 percent per year. Automation remains blind to import clues in a customer email or voice call. Many systems can figure out that “I’m going to sue you” is a negative message. But most don’t know what 🙁 means.
Attensity has taken its rocket science technology and created MarketVoice. According to Insurance Technology, a CMP Publication, and created:
a new solution enabling insurers to track, analyze and act on customer conversations in blogs, Web forums, product review comments, and other forms of online customer exchanges
Please, read the original story by Kristi Cattafi here. Do this quickly. CMP, like other traditional publishers, takes some interesting angles on its own search and retrieval system. Sometimes it is very good. Other times, it is a bit disappointing.
MarketVoice uses the deep extraction technology, but the system figures out where problems may be warming to a boiling point. Attensity has made its system easier to set up than some of the others that claim to do similar functions. You may be familiar with ClearForest, now part of Reuters, which is now part of Thomson, a multi-national professional information company. Attensity’s appraoch strikes me as easier to set up and more nimble. Your perception may differ from mine, but I think Attensity’s MarketVoice is a wake up call to vendors of text processing systems that are designed to do one function, leaving the licensee to the job of integrating the system’s outputs. Attensity delivers a product. Others deliver programming tool kits.
The company has also swizzled its deep extraction invention to process content on Web logs. Web log content is often hard to figure out. Some comments are declarative. Some are tongue in cheek. Others are spoofs; for example, today I received a comment from a person claiming to be a Googler. Google does not interact directly with me. This is an “old” Google-conceived rule. This spoofer tipped his hand by contacting me directly. That type of context is beyond the ken of text processing systems. Not even Attensity can figure out the sub text for the alleged Google post and my remarks in this paragraph.
Most text processing systems can’t figure out the context of the information, so indexing these primary and secondary components of an article and figuring out what the link means is not trivial. Atensity’s system grinds through text on a Web log and generates reports about customer sentiment. Attensity’s approach is useful, and it works quite well. You can read more about this system here. If the link 404s, just navigate to www.attensity.com and poke through the information on the site.
Dr. David Bean, a wizard with a passion for language, has been aggressive in his push to make rocket science useful to mere mortals.
Attensity’s productizing of content analysis is a good example of how to grow a market without making your customers withhold their licensing fees. The company is focusing on large back office specialists. More information about this MarketVoice application is here.
As the screws tighten on vendors of pure search or stand alone text processing software, studying Dr. Bean’s retooling of his rocket science technology may be useful. Attensity is a bit ahead of some of its competitors. Companies will sagging revenues may want to bone up on Attensity’s business model sooner rather than later.
I flagged Attensity as a company to watch in my April 2008 study Beyond Search.
Stephen Arnold, June 5, 2008
A Business Case for Search in the Time of Covid and the SolarWinds Misstep
February 8, 2021
Why does one working in an organization have to make a case for enterprise search? Oh, right, I forgot. Enterprise search has a rich history: Fast Search & Transfer with jail time for the founder, Autonomy with a sentencing date looming for the founder, Entopia with financial pain for its investors, and, well, the list of issues with enterprise search can be extended with references to IBM OmniSphere or STAIRS III, Delphes, Siderean, Arikus, Attensity, Brainware, Eegi, Relegence, Hakia, and the memorable Zaizi, among others.
“Making the Business Case for Enterprise Search” is sponsored. That means it is an advertisement, marketing collateral, and hoo hah. But what is its message. I noted this passage:
Knowledge-centric organizations know that tools such as intelligent search are critical for cutting through the noise and making relevant information discoverable. However, many executives don’t prioritize these types of tools.
Yep, and there is a reason. Consider that Elasticsearch is open source. Amazon offers search and is educating the enthusiastic for free. Put these successes against the backdrop of Google’s high profile failure: The GSA or Google Search Appliance, a fine product according to some Google engineers.
Regardless of today, large organizations typically have multiple information retrieval systems. The idea of federating the information is a really good one until the bean counters realize that the staff, professional for fee services, and the time required to figure out access controls, file formats, and how to cope with versions, rich media, trade secrets in engineering drawings and chemical formulas, and index latency cost more money than anyone revealed in a marketing pitch.
The write up notes:
In a recent survey, nearly half of all respondents said it was challenging finding the right information when they needed it.
One question: What’s right? The problem with enterprise search is that it is a fake discipline trying to gain traction in a world of business intelligence, analytics, and real time data capture, analysis, and outputs.
I laughed at the reminder “Don’t neglect security.” This is the era of the SolarWinds’ misstep. Security is underfunded in most organizations. Do responsible Boards of Directors and senior executives need to be reminded that their security systems is now Job Number One.
Enterprise search? Yeah, a hot enterprise solution. Just a solution which has become a utility and a free one via open source software at that.
Stephen E Arnold, February 8, 2021
New Enterprise Search Market Study
August 1, 2017
Don Quixote and Solving Death: No Problem, Amigo
I read “Global Enterprise Search Market 2017-2022.” I was surprised that a consulting firms would invest time and energy in writing about a market sector which has not been thriving. Now don’t start sending me email about my lack of cheerfulness about enterprise search. The sector is thriving, but it is doing so with approaches that are disguised as applications which deliver something other than inflated expectations, business closures, and lawsuits.
I will slay the beast that is enterprise search. “Hold still, you knave!”
First, let’s look at what the report covers, then I will tackle some of the issues about which I think as the author of the Enterprise Search Report and a number of search-related articles and analyses. (The articles are available from the estimable Information Today Web site, and the free analyses may be located at www.xenky.com/vendor-profiles.
The write up told me that enterprise search boils down to these companies:
Coveo Corp
Dassault Systemes
IBM Corp
Microsoft
Oracle
SAP AG
Coveo is a fork of Copernic. Yep, it’s a proprietary system which originally was focused on providing search for Microsoft. Now the company has spread its wings to include a raft of functions which range from the cloud to customer support / help desk services.
Dassault Systèmes is the owner of Exalead. Since the acquisition, Exalead as a brand has faded. The desktop search system was killed, and its proprietary technology lives on mostly as a replacement for Dassault’s internal search system which was based on Autonomy. Most of the search wizards have left, but the Exalead technology was good before Dassault learned that selling search was indeed a challenge.
IBM offers a number of products which include open source Lucene, acquired technology like Vivisimo’s clustering engine, and home brew code from its IBM wizards. (Did you know that the precursor of PageRank was an IBM “invention”?) The key is that IBM uses search to sell services which have a higher margins than providing a free version of brute force information access.
Text Analysis Vendors: Where Are They Now?
August 4, 2016
A year ago I read “20+ Text Mining and Text Analysis Tools.” The sale of Recommind to OpenText and the lack of excitement about search gave me an idea. Where are the companies identified by a mid tier consulting firm today. Let’s take a quick look.
AlchemyAPI. The company now asserts that its powers the “AI economy.” The Web sites has been updated since I last looked. There is a demo and a “free API key.” The system is now a platform. Gartner found the company to be a “cool vendor” in 2014. The company offers a webinar called “Building with Watson.”
Angoss. The company allows a customer to “predict, act, perform.” The focus is now on “customer intelligence in a single analytics tool.” The firm offers “knowledge” products and an insight optimizer.
Attensity. The company has undergone some change. The www.attensity.com Web site 404s. Years ago a text analytics cheerleader professed to be a fan. I think portions of the company operate under a different name in Germany. Appears to be in quiet mode.
Basis Technology. The company provided language reacted tools to outfits like Fast Search & Transfer. Someone told me that Basis dabbled in enterprise search. One high profile executive jumped to a company in Madrid.
Brainspace. The company’s Web site tells me, “We build brains.” The company offers NLP technology. Gartner “recommends” Brainspace for “advanced text analytics for financial institutions.” That’s good. The company does not list too many financial institutions as customers on its home page, however.
Buzzlogix. This company’s focus appears to be squarely on social media. The idea is that the firm helps its customers “listen, learn, and act.” When I visited the Web site, the most recent “news” appeared in November 2015.
Clarabridge. The company focuses on understanding “customer needs, wants, and feelings.” The company provides the “world’s most comprehensive customer intelligence platform.”
Clustify. The company positions its text analytics tools for eDiscovery. The company’s most recent news release is dated January 2014 and addresses the Recommind championed predictive coding approach to figuring out what was what in text documents.
Connexor. The company offers “machinese” demonstrations of its capabilities. The most recent item on the company’s Web site is the April 2015 announcement of a free NLP Web service.
DatumBox. This company is a “machine learning framework” provider. It makes machine learning “simple.” The Web site offers a free API key, which knocks the local KFC manager out as a potential licensee. The company’s most recent blog post is dated March 16, 2016. The most recent release is 0.7.0.
Eaagle. This is a company focused on the “new frontier of effective customer relationship management, research, and marketing.” Customers include HermanMiller, Chubb, and Suncor Energy. Data sheets, white papers, and documentation are available and no registration is necessary. Eaagle maintains a low profile.
ExpertSystem. The company bought Temis, a firm based on some ideas in the mind of a former IBM wizard. ExpertSystem, a publicly traded company, is pursuing the pharmaceutical industry and performing independent text analyses of Melania Trump’s and Michelle Obama’s speeches. The two ladies exhibit strong linguistic differences. The company’s stock is trading at $1.81 a share, a bit below Alphabet Google, an outfit also in the text analytics game.
FICO (Fair Isaac Corporation). The company gives “you the power to make smarter decisions.” The company has tallied a number of acquisitions since 1992. Its most recent purchase was Quadmetrics, a predictive analytics company. FICO is publicly traded and the stock is trading at $115.60 a share.
Cognitum. The company asserts that one can “improve your business with the innovation leader in semantic technology.” The company’s main product is Fluent Editor and it offers flagship platform called Ontorion. The firm’s spelling of “scallable” on its home page caught my attention.
IBM. The focus was not on Watson in the listing. Instead, the write up identified IBM Content Analytics as the product to watch. IBM’s LanguageWare uses a range of techniques to process content. IBM is very much in the content processing game with Watson becoming the umbrella “brand.” IBM just tallied is 16th straight quarter of declining revenue.
Intellexer offers text analytics, information security, media content search, and reputation management. The company’s most recent news release, dated May 13, 2016, announces the new version of Conceptmeister “which analyzes text from a photo, cloud documents, and URL.” Essentially this software creates a summary of the source content.
KBSPortal. This company offers natural language processing as a software as a service or NLP as SAAS. A demonstration of the system processes Wikipedia content. A demo video is available. To view it, I was asked to sign in. I declined. The company provides its prices and explains what each component does. Kudos for that approach.
Keatext. The company focuses on “customer experience management.” The company offers a two week free trial of its system. The system incorporates natural language processing. The company’s explanation of what it does requires a bit of digging.
Lexalytics. Lexalytics is in the sentiment analysis business. The company’s capabilities include categorization and entity extraction. Social media monitoring can be displayed on dashboards. The company posts its prices. When I was involved in a procurement, Lexalytics prices, based on my recollection, were significantly higher than the fees quoted on this page. At one time, Lexalytics engaged in a merger or deal with Infonics. The company acquired Semantria a couple of years ago.
Leximancer. This Australian company’s software turns up in interesting places; for example, the US social security administration in Beltsville, Maryland. The firm’s “text in, insight out” technology emerged from research at the University of Queensland. The company was founded by UniQuest, a techohlogy commercialization company operated by the University of Queensland. The system is quite useful.
Linguamatics. This company has built a following in the pharmaceutical sector. The system does a good job processing academic and research information in ways which can influence certain lines of inquiry. The company now says that it offers the “world’s leading text mining platform.” the company was founded in 2001, and it has been moving along at a steady pace. Quite useful software and capabilities.
Linguasys. Surprised to see an installation profile. The outfit is maintaining a low profile.
Luminoso. The company provides “enterprise feedback and experience analytics.” The company has teamed with another Boston-area outfit, Basis Technologies, to form a marketing partnership. The angle the company seems to be promoting is that if you are using other systems, you can enhance them with text analytics.
MeaningCloud. Meaning cloud asserts that with its system one can “extract valuable information from any text source.” The company’s Text Classification API supports the Interactive Advertising Bureau’s “standard contextual taxonomy.” The focus seems to be on sentiment analysis like Lexalytics.
Search Vendors Under Pressure: Welcome to 2016
December 21, 2015
I read ”Silicon Valley’s Cash Party Is Coming to an End.” What took so long? I suppose reality is less fun than fantasy. Why watch a science documentary when one can get lost in Netflix binging.
The write up reports:
Based on interviews with about two dozen venture capitalists and tech investors, 2016 is shaping up to be a year of reckoning for scores of technology start-ups that have yet to prove out their business models and equally challenging for those that raised money at unjustifiably high prices.
Forget the unicorns. There are some enterprise search outfits which have ingested millions of dollars, have convinced investors that big revenue or an HP-Autonomy scale buy out is just around the corner, and proprietary technology or consulting plus open source will produce gushers of organic revenue. Other vendors have tapped their moms, their nest eggs, and angels who believe in fairies.
I am not there is a General Leia Organa to fight Star Wars: The Revenue Battle for most vendors of search and content processing. Bummer. Despite the lack of media coverage for search and content processing vendors, the number of companies pitching information access is hefty. I track about 200 outfits, but many of these are unknown either because they don’t want to be visible or lack any substantive “newsy” magnetism.
My hunch is that this article suggests that 2016 may be different from the free money era the articles suggests is ending. In 2016, my view is that many vendors will find themselves in a modest tussle with their stakeholders. I worked through some of the search and content processing companies taking cash from folks with deep pockets often filled with other people’s money. (Note that investments totals come from Crunchbase). Here’s a list of search and content processing vendors who may face stakeholder and investor pressure. The more more ingested, the greater the interest investors may have in getting a return:
- Antidot, $3 million
- Attensity, $90 million
- Attivio, $71 million
- BA Insight, $14 million
- Connotate, $12 million
- Coveo, $69 million
- Digital Reasoning, $28 million
- Elastic (formerly Elasticsearch), $104 million
- Lucidworks, $53 million
- MarkLogic, $175 million
- Perfect Search, $4 million
- Palantir, $1.7 billion
- Recommind, $22 million
- Sinequa, $5 million
- Sophia Ambiance, $5 million
- X1, $12 million.
Then there are the acquired search systems which been acquired. One assumes these deals will have to produce sustainable revenues in some form:
- Hewlett Packard with Autonomy
- IBM with Vivisimo
- Dassault Systèmes with Exalead
- Lexmark with Brainware and ISYS Search
- Microsoft with Fast Search
- OpenText with BASIS, BRS, Fulcrum, and Nstein
- Oracle with Endeca, InQuira, and Rightnow
- Thomson Reuters with Solcara
Are there sufficient prospects to generate deals large enough to keep these outfits afloat?
There are search and content processing vendors competing for sales with free and open source options and the vendors with proprietary software:
- Ami Albert
- Content Analyst
- Concept Searching
- dtSearch
- EasyAsk
- Exorbyte
- Fabasoft Mindbreeze
- Funnelback
- IHS Goldfire
- SLI Systems
- Smartlogic
- Sprylogics
- SurfRay
- Thunderstone
- WCC Elise
- Zaizi
These search vendors plus many smaller outfits like Intrafind and Srch2 have to find a way to close deals to avoid the fate of Arikus, Convera, Delphes, Dieselpoint, Entopia, Hakia, Kartoo, NuTech Search, and Siderean Software, among others.
Despite the lack of coverage from mid tier consultants and the “real” journalists, the information access sector is moving along. In fact, when one looks at the software options, search and content processing vendors are easily found.
The problem for 2016 will be making sales, generating sustainable revenues, and paying back stakeholders. For many of these companies, the new year will be one which sees a number of outfits going dark. A few will thrive.
Darned exciting times in findability.
Stephen E Arnold, December 21, 2015
SLI H116 and Related Info Swizzles
November 13, 2015
I read an item produced by a research outfit called Edison. What’s interesting is that the “news” refers to SLI Systems, a New Zealand based outfit which sells eCommerce search software. The company has been going through some choppy water and has two new executives. One is a president, Chris Brennan. The more recent appointment is Martin Onofrio’s taking the job of Chief Revenue Officer. Prior to joining SLI, Mr. Onofrio was, according to the Edison news item, the chief revenue officer at Attensity. That’s one of the sentiment oriented content processing outfits. (Attensity has been a low profile outfit for a while.)
In that “report” from Edison which you can read at this link, I noted a reference to H116 revenue. The report did not explain what this type of revenue is. I did a quick search and learned that H116 does not seem to be a major revenue type. H116 is a type of aluminum, a motorized stepper, and a string of characters used by a number of different manufacturers.
After some thinking whilst listening to the Jive Five, I realized that Edison and SLI Systems are using H116 as a token for “revenues for the first half of fiscal 2016.” There you go.
Another write up adds this color, which I think the Edison experts could have recycled when they made clear what H116 means:
Revenue is forecast to rise to $17.3 million in the six months ending December 31 from $13.6 million a year earlier when sales accelerated at a 27% pace, the Christchurch-based company said in a statement.
Here’s the important part in my view:
The software developer missed its sales forecast for the second half of the 2015 year, and has hired Martin Onofrio as its new chief revenue officer to drive revenue growth.
A couple of quick thoughts before I go watch the mist rise from the mine drainage pond:
- SLI might want to make sure that its experts output “news” which is easy to understand
- Inclusion of revenue challenges is probably as important, if not more important, than opining about the future. The future is not yet here, so, like picking the winner of the Kentucky Derby, touts are different from which nag crosses the finish line first.
- Attensity, in my opinion, has faced its own revenue head winds. I wonder if a chief revenue officer can generate revenue in a world in which there are open source and low cost eCommerce search systems?
A word to Edison: Please, do not write to complain about my nagging about the H116 thing. You offer a two page report which is one page. What’s up with that? Friday the 13th bad luck or a standard work product?
Stephen E Arnold, November 13, 2015
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