Dec
06
2018
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Looker snags $103 million investment on $1.6 billion valuation

Looker has been helping customers visualize and understand their data for seven years, and today it got a big reward, a $103 million Series E investment on a $1.6 billion valuation.

The round was led by Premji Invest, with new investment from Cross Creek Advisors and participation from the company’s existing investors. With today’s investment, Looker has raised $280.5 million, according the company.

In spite of the large valuation, Looker CEO Frank Bien really wasn’t in the mood to focus on that particular number, which he said was arbitrary, based on the economic conditions at the time of the funding round. He said having an executive team old enough to remember the dot-com bubble from the late 1990s and the crash of 2008 keeps them grounded when it comes to those kinds of figures.

Instead, he preferred to concentrate on other numbers. He reported that the company has 1,600 customers now and just crossed the $100 million revenue run rate, a significant milestone for any enterprise SaaS company. What’s more, Bien reports revenue is still growing 70 percent year over year, so there’s plenty of room to keep this going.

He said he took such a large round because there was interest and he believed that it was prudent to take the investment as they move deeper into enterprise markets. “To grow effectively into enterprise customers, you have to build more product, and you have to hire sales teams that take longer to activate. So you look to grow into that, and that’s what we’re going to use this financing for,” Bien told TechCrunch.

He said it’s highly likely that this is the last private fundraising the company will undertake as it heads toward an IPO at some point in the future. “We would absolutely view this as our last round unless something drastic changed,” Bien said.

For now, he’s looking to build a mature company that is ready for the public markets whenever the time is right. That involves building internal processes of a public company even if they’re not there yet. “You create that maturity either way, and I think that’s what we’re doing. So when those markets look okay, you could look at that as another funding source,” he explained.

The company currently has around 600 employees. Bien indicated that they added 200 this year alone and expect to add additional headcount in 2019 as the business continues to grow and they can take advantage of this substantial cash infusion.

Oct
22
2018
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Oracle acquires DataFox, a developer of ‘predictive intelligence as a service’ across millions of company records

Oracle today announced that it has made another acquisition, this time to enhance both the kind of data that it can provide to its business customers, and its artificial intelligence capabilities: it is buying DataFox, a startup that has amassed a huge company database — currently covering 2.8 million public and private businesses, adding 1.2 million each year — and uses AI to analyse that to make larger business predictions. The business intelligence resulting from that service can in turn be used for a range of CRM-related services: prioritising sales accounts, finding leads, and so on.

“The combination of Oracle and DataFox will enhance Oracle Cloud Applications with an extensive set of AI-derived company-level data and signals, enabling customers to reach even better decisions and business outcomes,” noted Steve Miranda, EVP of applications development at Oracle, in a note to DataFox customers announcing the deal. He said that DataFox will sit among Oracle’s existing portfolio of business planning services like ERP, CX, HCM and SCM. “Together, Oracle and DataFox will enrich cloud applications with AI-driven company-level data, powering recommendations to elevate business performance across the enterprise.”

Terms of the deal do not appear to have been disclosed but we are trying to find out. DataFox — which launched in 2014 as a contender in the TC Battlefield at Disrupt — had raised just under $19 million and was last valued at $33 million back in January 2017, according to PitchBook. Investors in the company included Slack, GV, Howard Linzon, and strategic investor Goldman Sachs among others.

Oracle said that it is not committing to a specific product roadmap for DataFox longer term, but for now it will be keeping the product going as is for those who are already customers. The startup counted Goldman Sachs, Bain & Company and Twilio among those using its services. 

The deal is interesting for a couple of reasons. First, it shows that larger platform providers are on the hunt for more AI-driven tools to provide an increasingly sophisticated level of service to customers. Second, in this case, it’s a sign of how content remains a compelling proposition, when it is presented and able to be manipulated for specific ends. Many customer databases can get old and out of date, so the idea of constantly trawling information sources in order to create the most accurate record of businesses possible is a very compelling idea to anyone who has faced the alternative, and that goes even more so in sales environments when people are trying to look their sharpest.

It also shows that, although both companies have evolved quite a lot, and there are many other alternatives on the market, Oracle remains in hot competition with Salesforce for customers and are hoping to woo and keep more of them with the better, integrated innovations. That also points to Oracle potentially cross and up-selling people who come to them by way of DataFox, which is an SaaS that pitches itself very much as something anyone can subscribe to online.

Sep
25
2018
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LinkedIn steps into business intelligence with the launch of Talent Insights

LinkedIn may be best known as a place where people and organizations keep public pages of their professional profiles, using that as a starting point for networking, recruitment and more — a service that today that has racked up more than 575 million users, 20 million companies and 15 million active job listings. But now under the ownership of Microsoft, the company has increasingly started to build a number of other services; today sees the latest of these, the launch of a new feature called Talent Insights.

Talent Insights is significant in part because it is LinkedIn’s first foray into business intelligence, that branch of enterprise analytics aimed at helping execs and other corporate end users make more informed business decisions.

Talent Insights is also notable because it’s part of a trend, where LinkedIn has been launching a number of other services that take it beyond being a straight social network, and more of an IT productivity tool. They have included a way for users to look at and plan commutes to potential jobs (or other businesses); several integrations with Microsoft software including resume building in Word and Outlook integrations; and adding in more CRM tools to its Sales Navigator product.

Interestingly, it has been nearly a year between LinkedIn first announcing Talent Insights and actually launching it today. The company says part of the reason for the gap is because it has been tinkering with it to get the product right: it’s been testing it with a number of customers — there are now 100 using Talent Insights — with employees in departments like human resources, recruitment and marketing using it.

The product that’s launching today is largely similar to what the company previewed a year ago: there are two parts to it, one focused on people at a company, called “Talent Pool,” and another focused on data about a company, “Company Report.”

 

The first of these will let businesses run searches across the LinkedIn database to discover talent with characteristics similar to those what a business might already be hiring, and figure out where they are at the moment (in terms of location and company affiliation), and where they are moving, what skills they might have in common, and how to better spot those who might be on the way up based on all of this.

The second set of data tools (Company Report) provides a similar analytics profile but about your organisation and those that you would like to compare against it in areas like relative education levels and schools of the respective workforces; which skills employees have or don’t have; and so on.

Dan Francis, a senior product manager running Talent Insights, said in an interview that for now the majority of the data that’s being used to power Talent Insights is primarily coming from LinkedIn itself, although there are other data sources also added into it, such as material from the Bureau of Labor Statistics. (And indeed, even some of LinkedIn’s other data troves, for example in its recruitment listings, or even in its news/content play, the material that populates both comes from third parties.)

He also added that letting companies feed in their own data to use that in number crunching — either for their own reports or those of other companies — “is on our roadmap,” an indication that LinkedIn sees some mileage in this product.

Adding in more data sources could also help the company appear more impartial and accurate: although LinkedIn is huge and the biggest repository of information of its kind when it comes to professional profiles, it’s not always accurate and in some cases can be completely out of date or intentionally misleading.

(Related: LinkedIn has yet to launch any “verified”-style profiles for people, such as you get on Facebook or Twitter, to prove they are who they say they are, that they work where they claim to work, and that their backgrounds are what they claim them to be. My guess as to why that has not been rolled out is that it would be very hard, if not impossible, to verify everything in a clear way, and so LinkedIn relies on the power of public scrutiny to keep people mostly honest.)

“We’re pretty transparent about this,” said Francis. “We don’t position this as a product as comprehensive, but as a representative sample. Ensuring data quality is good is something that we are careful about. We know sometimes data is not perfect. In some cases it is directional.”

Sep
12
2018
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Sisense hauls in $80M investment as data analytics business matures

Sisense, a company that helps customers understand and visualize their data across multiple sources, announced an $80 million Series E investment today led by Insight Venture Partners. They also announced that Zack Urlocker, former COO at Duo Security and Zendesk, has joined the organization’s board of directors.

The company has attracted a prestigious list of past investors, who also participated in the round, including Battery Ventures, Bessemer Venture Partners, DFJ Venture Capital, Genesis Partners and Opus Capital. Today’s investment brings the total raised to close to $200 million.

CEO Amir Orad says investors like their mission of simplifying complex data with analytics and business intelligence and delivering it in whatever way makes sense. That could be on screens throughout the company, desktop or smartphone, or via Amazon Alexa. “We found a way to make accessing data extremely simple, mashing it together in a logical way and embedding it in every logical place,” he explained.

It appears to be resonating. The company has over 1000 customers including Expedia, Oppenheimer and Phillips to name but a few. Orad says they are actually the analytics engine behind Nasdaq Corporate Solutions, which is the the main investor relations system used by CFOs.

He was not in the mood to discuss the company’s valuation, an exercise he called “an ego boost he doesn’t relate to.” He says that he would prefer to be measured by how efficiently he uses the money investors give him or by customer satisfaction scores. Nor would he deal with IPO speculation. All he would say on that front was, “When you focus on the value you bring, positive things happen.”

In spite of that, he was clearly excited about having Urlocker join the board. He says the two spent six months getting to know each other and he sees a guy who has brought several companies to successful exit joining his team, and perhaps someone who can help him bring his company across the finish line, however that ultimately happens. Just last month, Cisco bought Urlocker’s former company, Duo Security for $2.35 billion.

For now Sisense, which launched in 2010, has another $80 million in the bank. They plan to add to the nearly 500 employees already in place in offices in New York, Tel Aviv, Kiev, Tokyo and Arizona. In particular, they plan to grow their international presence more aggressively, especially adding employees to help with customer success and field engineering. Orad also said that he was also open to acquiring companies should the right opportunity come along, saying “Because of talent, technology and presence, it’s something you have to be on lookout for.”

When a company reaches Series E and a couple of hundred million raised, it’s often a point where an exit could be coming sooner than later. By adding an experienced executive like Urlocker, it just emphasizes that possibility, but for now the company appears to be growing and thriving, and taking the view that whatever will be, will be.

Jul
24
2018
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Outlier raises $6.2 M Series A to change how companies use data

Traditionally, companies have gathered data from a variety of sources, then used spreadsheets and dashboards to try and make sense of it all. Outlier wants to change that and deliver a handful of insights right to your inbox that matter most for your job, company and industry. Today the company announced a $6.2 million Series A to further develop that vision.

The round was led by Ridge Ventures with assistance from 11.2 Capital, First Round Capital, Homebrew, Susa Ventures and SV Angel. The company has raised over $8 million.

The startup is trying to solve a difficult problem around delivering meaningful insight without requiring the customer to ask the right questions. With traditional BI tools, you get your data and you start asking questions and seeing if the data can give you some answers. Outlier wants to bring a level of intelligence and automation by pointing out insight without having to explicitly ask the right question.

Company founder and CEO Sean Byrnes says his previous company, Flurry, helped deliver mobile analytics to customers, but in his travels meeting customers in that previous iteration, he always came up against the same question: “This is great, but what should I look for in all that data?”

It was such a compelling question that after he sold Flurry in 2014 to Yahoo for more than $200 million, that question stuck in the back of his mind and he decided to start a business to solve it. He contends that the first 15 years of BI was about getting answers to basic questions about company performance, but the next 15 will be about finding a way to get the software to ask good questions based on the huge amounts of data.

Byrnes admits that when he launched, he didn’t have much sense of how to put this notion into action, and most people he approached didn’t think it was a great idea. He says he heard “No” from a fair number of investors early on because the artificial intelligence required to fuel a solution like this really wasn’t ready in 2015 when he started the company.

He says that it took four or five iterations to get to today’s product, which lets you connect to various data sources, and using artificial intelligence and machine learning delivers a list of four or five relevant questions to the user’s email inbox that points out data you might not have noticed, what he calls “shifts below the surface.” If you’re a retailer that could be changing market conditions that signal you might want to change your production goals.

Outlier email example. Photo: Outlier

The company launched in 2015. It took some time to polish the product, but today they have 14 employees and 14 customers including Jack Rogers, Celebrity Cruises and Swarovski.

This round should allow them to continuing working to grow the company. “We feel like we hit the right product-market fit because we have customers [generating] reproducible results and really changing the way people use the data,” he said.

Jun
11
2018
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Workday acquires financial modelling startup Adaptive Insights for $1.55B

Workday, the cloud-based platform that offers HR and other back-office apps for businesses, is making an acquisition to expand its portfolio of services: It’s buying Adaptive Insights, a provider of cloud-based business planning and financial modelling tools, for $1.55 billion. The acquisition is notable because Adaptive Insights had filed for an IPO as recently as May 17.

Workday says that the $1.55 billion price tag includes “the assumption of approximately $150 million in unvested equity issued to Adaptive Insights employees” related to that IPO. This deal is expected to close in Q3 of this year.

IPO filings are known to sometimes trigger M&A. Most recently, PayPal announced it would acquire iZettle just after the latter filed to go public. Skype was acquired by Microsoft in 2011 while it was waiting to IPO after previous owner eBay said it would spin it off.

Workday itself went public in 2012 and currently has a market cap of nearly $27 billion.

The deal will give Workday another string to its bow, in its attempt to become the go-to place for all for back-office services for its business customers: the company plans to integrate Adaptive Insights’ tools into its existing platform.

“Adaptive Insights is an industry leader with its Business Planning Cloud platform, and together with Workday, we will help customers accelerate their finance transformation in the cloud,” said Aneel Bhusri, Co-Founder and CEO, Workday, in a statement. “I am excited to welcome the Adaptive Insights team to Workday and look forward to coming together to continue delivering industry-leading products that equip finance organizations to make even faster, better business decisions to adapt to change and to drive growth.”

The two have been working together as partners since 2015.

In the case of Adaptive Insights, which says it has ‘thousands’ of customers, its growth mirrors that both of cloud services and specifically about how business intelligence has developed into a distinct software category of its own over the years, with not just the CFO but an army of in-house analysts relying on analytics of a business’ data to help make small and big decisions.

“The market opportunity here is huge as the CFO has become a power player in the C-Suite,” CEO Tom Bogan told TechCrunch when it raised $75 million in 2015, when it first passed the billion-dollar mark for its valuation. Bogan previously also held a role as chairman of Citrix. “As a former CFO myself, I have seen this first hand and it is accelerating.” Other examples of this force includes Twitter’s Anthony Noto catapulting from CFO to COO (and is now a CEO running SoFi). Around 25 percent of CEOs at Fortune 500 companies are former CFOs.

Adaptive Insights had raised $175 million prior to this.

Bogan will stay on and lead the business and report directly to Bhusri.

“Joining forces with Workday accelerates our vision to drive holistic business planning and digital transformation for our customers,” said Bogan, in a separate statement. “Most importantly, both Adaptive Insights and Workday have an employee-first and customer-centric approach to developing enterprise software that will only increase the power of the combined companies.”

More generally, while we have certainly seen a much wider opening of the door for tech IPOs this year, there is also an argument to be made for continuing consolidation it enterprise IT, in particular with regards to cloud services that might have small or potentially negative margins.

Adaptive Insights was not immune to that: the company in its public listing filing said that its previous fiscal year brough tin $106.5 million in revenues, up 30 percent from the year before, but it also posted a loss of $42.7 million in the same period. That was narrower than the $59.1 million it posted in 2016. Combined with the bigger trend of all-in-one platforms packing a bigger punch with businesses, it might have meant that Workday’s offer was too compelling to refuse. 

This looks like Workday’s biggest acquisition yet, but the company has been on a spree of sorts: just last week it announced the acquisition of RallyTeam to beef up its machine learning.

May
31
2018
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AWS launches pay-per-session pricing for its QuickSight BI tool

Amazon QuickSight, the company’s business intelligence tool for AWS, launched back in 2015, but it’s hard to say how much impact the service has made in the highly competitive BI market. The company has far from given up on this project, though, and today, it’s introducing a new pay-per-session pricing plan for access to QuickSight dashboards that is surely meant to give it a bit of a lift in a market where Tableau and Microsoft’s Power BI have captured much of the mindshare.

Under the new pricing plan, creating and publishing dashboards will stay cost $18 per user and month. For readers, though, who only need to have access to these dashboards, AWS now offers a very simple option: they will now pay $0.30 per session up to a maximum of $5 per month and user. Under this scheme, a session is defined as the first 30 minutes from login.

Previously, AWS offered two tiers of QuickSight plans: a $9 per user/month standard plan and a $24/user/month enterprise edition with support for Active Directory and encryption at rest.

That $9/user/month is still available and probably still makes sense for smaller companies where those who build dashboards and consume them are often the same person. The new pricing plan replaces the existing enterprise edition.

QuickSight already significantly undercuts the pricing of services like Tableau and others, though we’re also talking about a somewhat more limited feature set. This new pay-per-session offering only widens the pricing gap.

“With highly scalable object storage in Amazon Simple Storage Service (Amazon S3), data warehousing at one-tenth the cost of traditional solutions in Amazon Redshift, and serverless analytics offered by Amazon Athena, customers are moving data into AWS at an unprecedented pace,” said Dorothy Nicholls, Vice President of Amazon QuickSight at AWS, in a canned comment. “What’s changed is that virtually all knowledge workers want easy access to that data and the insights that can be derived. It’s been cost-prohibitive to enable that access for entire companies until the Amazon QuickSight pay-per-session pricing — this is a game-changer in terms of information and analytics access.”

Current QuickSight users include the NFL, Siemens, Volvo and AutoTrader.

Feb
21
2018
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Crunchbase opens a marketplace for 3rd-party data in bid to be the ‘master database for companies’

 Last year, when tech-company database Crunchbase (once a part of TechCrunch but since spun out) announced a funding round of $18 million, it previewed plans for a new marketplace where it would sell access to third-party data to supplement its own information. Now nearly one year later, it’s taking the wraps off that project. Read More

Sep
14
2017
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Looker’s latest looks to simplify data integrations

 Looker is holding its Join user conference this week, and these affairs often involve a new release to show off to customers. Today, the company released Looker 5, which they say will make it easier for employees to make use of data in their work lives. Company CEO Frank Bien believes there is a growing group of people, who need quick access to data to do their jobs. “At a high level,… Read More

Jun
29
2017
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Adobe releases analytics tools for conversational AI

 It’s still hard to say if the voice-controlled aluminum can will be the next smartphone or the next Segway, but either way, brands are preparing. This morning Adobe launched a new set of analytics tools, Adobe Sensei for Voice, to help brands take advantage of conversational data to improve targeting and, ideally, conversions.
Adobe says it can consume data from Alexa, Siri, Google… Read More

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