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    Art on Blockchain pioneer Verisart raises $2.5M for art and collectibles certification

    news.movim.eu / TechCrunch – Thursday, 3 October - 19:03

A lot of talk has been made about verifying valuable items on an immutable blockchain, but the main pioneer in this space has been Verisart , which appeared a few years ago to use a blockchain to create certification for the fine art and collectibles market. But despite the blockchain hype of the last few years, Verisart eschewed the fund-raising bonanza, preferring instead to perfect its model and build partnerships.

That changes today with the news that it has raised $2.5 million in seed financing in a round led by Galaxy Digital EOS VC Fund . Further investment has come from existing investors Sinai Ventures and Rhodium . The funding will be used to expand Verisart’s commercial platform for authentication and further expand in the art world.

Co-Founder and CEO Robert Norton commented: “With this new round of funding, we’re able to scale our business and ramp up our partnership integrations. The art world is quickly realizing that blockchain provides a new standard in provenance and record-keeping and we’re looking forward to extending these services to the industry.”

The $325mm Galaxy EOS VC Fund is a partnership between Galaxy Digital, a blockchain-focused merchant bank, and Block.one, the publisher of EOSIO, the blockchain protocol.

The funding will go towards extending the product and engineering team and launching a suite of premium services aimed at artists, galleries and collectors. The company recently appointed Paul Duncan, formerly the founding CTO of Borro, the online lending platform for luxury assets, to lead the engineering team.

In 2015, Verisart was the first company to apply blockchain technology to the physical art and collectibles market. It’s also working with some of the world’s best-known artists including Ai Wei Wei and Shepard Fairey to certify their works of art. In 2018, Verisart won the ‘Hottest Blockchain DApp’ award at The Europas , the European tech startup awards.

It’s also been the first blockchain certification provider on Shopify to offer digital certification for limited editions, artworks and collectibles.

Other players are now entering this growing blockchain-for-art market. Codex Protocol is a new startup also putting art on the blockchain.

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    Fivetran hauls in $44M Series B as data pipeline business booms

    news.movim.eu / TechCrunch – Tuesday, 24 September - 12:55

Fivetran , a startup that helps companies move data from disparate repositories to data warehouses, announced $44 million Series B financing today, less than a year after collecting a $15 million Series A round .

Andreessen Horowitz (A16Z) led the round with participation from existing investors Matrix Partners and CEAS Investments. As part of the deal, Martin Casado from A16Z will join the Fivetran board. Today’s investment brings the total raised to over $59 million, according to Crunchbase.

Company co-founder and CEO George Frasier said they raised a little sooner than expected, but they needed a cash infusion to keep up with the steady growth they have been seeing. He said the company also wanted to get the funding done while the capital markets were still strong. “If we wait four months or six months, the terms are not going to be that much better — and, who knows, there could be a recession. You never know how long the sun shines, and we had interest from some really good firms that we liked, and that’s a big factor too obviously.” he said.

He added that it’s not purely an economic decision. “We’re really happy with where we landed with Martin [Casado] joining the board and Andreessen Horowitz on the cap table, but [the economic outlook] was definitely part of our calculus.”

And Casado is happy to have invested in Fivetran. Writing in a blog post today about the investment, he sees a company that’s solving a big problem in a modern context. “Fivetran is a SaaS service that connects to the critical data sources in an organization, pulls and processes all the data, and then dumps it into a warehouse (e.g., Snowflake, BigQuery or RedShift) for SQL access and further transformations, if needed. If data is the new oil, then Fivetran is the pipes that get it from the source to the refinery,” he wrote.

He said that the company already has over 750 customers and A16Z is included among them. It certainly doesn’t hurt when your lead investor uses your product.

The company was founded in 2012 and has been growing steadily. Last year it 80 employees at the time of its Series A and today it has 175. Frasier expects that to double again over the next year, and it’s all driven by business needs. He says that over the last 12 months revenue has grown 3x.

With 150 connectors today, the company wants to continue to expand its array of data connection tools and cover more data requirements. But he says the connectors are complicated and that will take an investment in more engineering talent. Today’s announcement should help in that regard.

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    Tableau update uses AI to increase speed to insight

    news.movim.eu / TechCrunch – Wednesday, 18 September - 14:26

Tableau was acquired by Salesforce earlier this year for $15.7 billion, but long before that, the company had been working on its Fall update, and today it announced several new tools including a new feature called ‘Explain Data’ that uses AI to get to insight quickly.

“What Explain Data does is it moves users from understanding what happened to why it might have happened by automatically uncovering and explaining what’s going on in your data. So what we’ve done is we’ve embedded a sophisticated statistical engine in Tableau, that when launched automatically analyzes all the data on behalf of the user, and brings up possible explanations of the most relevant factors that are driving a particular data point,” Tableau chief product officer, Francois Ajenstat explained.

He added that what this really means is that it saves users time by automatically doing the analysis for them, and It should help them do better analysis by removing biases and helping them dive deep into the data in an automated fashion.

Explain Data Superstore extreme value

Image: Tableau

Ajenstat says this is a major improvement in that previously users would have do all of this work manually. “So a human would have to go through every possible combination, and people would find incredible insights, but it was manually driven. Now with this engine, they are able to essentially drive automation to find those insights automatically for the users,” he said.

He says this has two major advantages. First of all, because it’s AI-driven it can deliver meaningful insight much faster, but it also it gives a more of a rigorous perspective of the data.

In addition, the company announced a new Catalog feature, which provides data bread crumbs with the source of the data, so users can know where the data came from, and whether it’s relevant or trustworthy.

Finally, the company announced a new server management tool that helps companies with broad Tableau deployment across a large organization to manage those deployments in a more centralized way.

All of these features are available starting today for Tableau customers.

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    Target’s personalized loyalty program launches nationwide next month

    news.movim.eu / TechCrunch – Monday, 9 September - 22:55

Target today announced its new, data-driven loyalty program, Target Circle, will launch nationwide on October, 6th, following a year and a half of beta testing in select markets . The program combines a variety of features including 1% back on purchases, birthday rewards, and personalized offers and savings designed to make the program more attractive to consumers.

It also includes a way for customers to vote on Target’s community giving initiatives, which helps directs Target’s giving to around 800 nonprofits in the U.S.

Voting

The new program is designed to lure in customers who have yet to adopt Target’s store card, REDcard. While REDcard penetration today is around 23%, that number has remained fairly consistent over time — in fact, it’s down about one percentage point from a year ago.

With Target Circle, however, the retailer has another means of generating loyalty and establishing a connection with its customers on a more individualized basis.

A big part of that is the personalized aspect of the Target Circle program. In addition to the “birthday perks” (an easy way to grab some demographic data), customers will also get special discounts on the categories they “shop most often” — meaning, Target will be tapping into its treasure trove of customer purchase history to make recommendations from both in-store and online purchases along with other signals.

“As guests shop, Target leverages information about their shopping behaviors and purchases to share relevant offers that create an even more personalized, seamless shopping experience,” a company spokesperson explained, when asked for details about the data being used. “For example, a guest who frequently shops Target for baby products may receive a special offer on their next purchase of baby items.”

TargetCircle NonBeta 19 Brand RGB Logo Red

According to a recent retail study from Avionos, 78% of consumers are more likely to purchase from retailers that better personalize their experiences and 63% are more open to sharing personal information if retailers can better anticipate needs.

And as some may recall, Target is already scary good at personalization.

In one notable case , the retailer figured out a teen girl was pregnant before her father did , and sent her coupons for baby items. The dad, understandably, was angry — until he found out that Target was right.

That story was a high-profile example of the data collection and analysis big retailers are doing all the time, though. Target Circle simply formalizes this into an opt-in program instead of an opt-out experience.

As part of the changes, Target’s Cartwheel savings are rolling into Target Circle where they’ll be rebranded as Target Circle offers.

TargetCircle inApp

Circle members will also get early access to special sales throughout the year — that is, the events people line up for, like they did for the Lilly Pulitzer fashion line or more recently, the quickly sold out Vineyard Vines collection.

Target says, in time, it will come up with “even more personalized, relevant ways” to make shopping easier for its customers.

The new program is meant to complement the REDcard, which will increase the cashback to 5% when used. But REDcard holders can still join Circle to take advantage of the other perks.

WalletRedeeming

“Our guests are at the center of everything we do, and we’re always looking for ways to create even easier, more rewarding shopping experiences that give them another reason to choose Target,” said Rick Gomez, Target executive vice president, and chief marketing and digital officer, in a statement. “We worked directly with guests to develop Target Circle, and the program includes the benefits and perks they told us were most important to them, from earning on every trip to having the opportunity to help Target make a positive impact in their local communities,” he said.

The loyalty program had been in testing in Dallas-Ft. Worth, Charlotte, Denver, Indianapolis, Kansas City and Phoenix over the past 18 months.

Though not having Amazon’s scale, Target has done well at quickly innovating to keep up with today’s pace of e-commerce. In short order, it has made over its stores to make more room for order pickups and online grocery, and has launched and expanded new services like Target Restock (next-day), Shipt (same day delivery) and Drive Up (same day pickup). The changes have been paying off with Target beating on its latest earnings with $18.42 billion in revenue and profits of $938 million.

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    How early-stage startups can use data effectively

    news.movim.eu / TechCrunch – Thursday, 5 September - 20:04

It is a commonly held belief that startups can measure their way to success. And while there are always exceptions, early-stage companies often can’t leverage data easily, at least not in the way that later stage companies can. It’s imperative that startups recognize this early on — it makes all the difference.

In this piece, I draw on my experiences using data to take Framer from seed round to Series B. More concretely, I’ll describe what to (not) focus on, and then, how to get real results.

There are good and bad ways for startups to use data. In my opinion, the bad way unfortunately is often preached on saas blogs, a/b test tool marketing pages, and especially growth hacker conferences: that by simply measuring and looking at data you’ll find simple things to do that will drive explosive growth. Silver bullets, if you will.

The good way is comparable to first principles thinking . Below the surface of your day to day results, your startup can be described by a set of numbers. It takes some work to discover these numbers, but once you have them you can use them to make predictions and spot underlying trends. If everyone in your company knows these numbers by heart, they will inevitably make better decisions.

But most importantly, using data the right way will help answer the single most important – but complex – question at any moment for a startup: how are we really doing?

Let’s start with looking at what not to do as a startup.

Table of Contents


Common pitfalls

Don’t measure too much

Technically, it’s easy to measure everything, so most startups start out that way. But when you measure everything, you learn nothing. Just the sheer noise makes it hard to discover anything useful and it can be demotivating to look at piles of numbers in general.

My advice is to carefully plan what you want to measure upfront, then implement and conclude. You should only expand your set of measurements once you’ve made the most important ones actionable. Later in this article, I provide a clear set of ways to plan what you measure.

A/B tests are anti-startup

To make decisions based on data you need volume. Without volume, the data itself is not statistically significant and is basically just noise . To detect a 3% difference with 95% confidence you would need a sample size of 12,000 visitors, signups, or sales. That sample size is generally too high for most early-stage startups and forces your product development into long cycles.

While on the subject of shipping fast and iterating later, let’s talk about A/B testing. To get reliable measurements, you should only be changing one variable at a time. During the early stages of Framer, we changed our homepage in the middle of a checkout A/B test, which skewed our results. But as a startup, it was the right decision to adjust the way we marketed our product. What you’ll find is that those two factors are often incompatible. In general, constant improvements should trump tests that block quick reactionary changes.

Understand your calculations


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    A radical proposal to keep your personal #data safe | Richard Stallman #privacy

    people Orbifx 17 May, 2018

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    Orbifx , arie

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    What should you think about when using Facebook?

    Timothée Jaussoin – Friday, 3 February, 2017 - 17:21 edit

A nice article explaining how Facebook is collecting personnal data about you.

TL;DR: Facebook collects data about you in hundreds of ways, across numerous channels. It’s very hard to opt out, but by reading about what they collect, you can understand the risks of the platform and choose to be more restrictive with your Facebook usage.