#AngelCube favours B2B #startups…

Posted on September 1, 2015 by Content in Context

The latest intake to AngelCube‘s accelerator program presented at the recent Startup Victoria meetup event. It was interesting to see that all 6 pitches were aimed at B2B audiences, since I have heard several angel investors and startup advisers express a strong preference for end-consumer products (or those with 2-sided markets). Perhaps there is more appetite for enterprise solutions, despite the longer lead times for sales, and the challenge of strategies required to displace incumbant products.

Whether there is a new interest in B2B startups, or whether more founders are identifying B2B opportunities, there’s probably some further analysis to be done. Meanwhile, here are the 6 fledgling startups in the order they pitched on the night:

1. Peer Academy

Peer Academy aims to “change the way professionals learn”. It does this by offering students access to open enrollment classes via an online market place. The classes are conducted by facilitators and experts (“hosts”) who have been “screened” for quality by Peer Academy, with a focus on “soft” management and leadership skills.

Peer Academy hopes that students will act as “warm leads” for corporate sales, by taking their classroom experience back into their organisations, and acting as champions or brand advocates. With follow-up introductions to training and HR managers, Peer Academy then curates programs for corporate clients, by matching training needs to individual users.

I like the notion of “peer-to-peer” learning (although I presume that the hosts are expected to have more advanced and developed skills than their students), and there is certainly a trend for alternative learning platforms. At least one major bank has expressed interest in sourcing corporate training via Peer Academy, who take a 30% commission on course sales.

A huge challenge will be to engage corporate clients who already have established relationships with trusted training providers, or who have existing panels of approved organisations, or who outsource training procurement to third parties.

2. Jack

Workplace wellbeing is becoming big business ($5bn and counting?), and in the process, sedentary workers are in the firing line. According to Apple CEO TIM Cook, “Sitting is the new cancer”, and hence the recent fad/trend/fashion for sit-stand desks which is driving market interest in ergonomic solutions. The team at Jack have built a device that can monitor how much time people are sitting or standing, and even provide some feedback on user posture.

As you would expect, Jack uses cloud connectivity to monitor user activity, and to relay data via cross-platform apps and dashboards. It also uses elements of social media engagement and gamification, and has already launched a pilot scheme with several desk suppliers, as well as a paid beta at a well-known payments provider.

Customers will buy the device plus pay for a monthly subscription service. There is a direct competitor, but Jack claim their device can be retrofitted to any sit-stand desk. The unit price is much higher than, say a Fitbit, but since this is not a consumer product, Jack is confident it can sustain current pricing.

Finally, with the data it aims to collect, Jack reckons it may even be able to help reduce insurance premiums, although this will no doubt be subject to actuarial scrutiny, Work Cover and OH&S requirements, as well as data privacy issues.

3. Coin-Craft

In the professional services and consulting sectors, tracking project costs and resourcing have become highly demanding activities – witness the plethora of project management, costing, billing, ERP and time-tracking solutions on the market. Based on personal experience, the founders of Coin-Craft have identified a specific need among architects, and have built an all-in-one tool for Project Management, Cashflow Analysis and Resource Planning. Built “for architects by architects”, Coin-Craft is designed to help clients stay optimal, by managing staff over/under utilisation, and tracking cashflow projections.

The system also claims to integrate with third-party accounting software, and has around a dozen firms using the service, with another 30 in the pipeline. Although Coin-Craft have chosen a niche client base to protect their market entry, they claim the solution can also be adopted by engineering practices, graphic art studios and project management firms.

However, feedback from the audience suggested there are already similar, mature products that are tracking individual billable hours against specific projects, so Coin-Craft may need to work on their value proposition and differentiation.

4. CurveUp!

As social media and content marketing become more ubiquitous (if not more sophisticated), companies need to understand the value of their direct marketing spend. Mostly, they can do this via web analytics, e-commerce tracking, campaign conversions, and cost of customer acquisition. According to CurveUp! however, measuring the ROI of your PR activity is not so easy using “conventional” social media monitoring tools. For example, CurveUp! claim they can deliver tailored reports to show which blog post or article converted to a ticket sale for a concert or event.

Currently using web and online sources only, CurveUp! track mentions and link this to customer data. Some platforms, such as Instagram, are harder to track, and even via a possible API solution, it will only be possible to monitor the number of views and shares, but otherwise little or no data will be available.

However, at least one online market place has expressed interest, and CurveUp! has the potential to integrate with Facebook and Google, so that clients could possibly use campaign codes to track referral activity from mention to firm sale. Overall, the service will need to align itself with the ROI outcomes linked to PR campaign goals – which will vary between clients and markets, depending on organisational KPIs around brand advocacy, share of wallet, products per customer and customer satisfaction.

5. TribeGrowth

In a similar vein, the team at TribeGrowth claim to have built “artificial intelligence for social media marketing“. Their goal is to help clients build an audience and get customers, via the use of “intelligent engagement” to generate conversions.

Initially targeting startups, professional service providers and the hospitality sector, TribeGrowth offers a tiered monthly subscription service, and claims to be a (cheaper) alternative to agencies or even Twitter ads.

Currently in private beta (and so far, only designed for Twitter and Instagram), TribeGrowth focuses on audience growth by careful selection of connections and influencers. According to the founders, this is not “pay & spray”, but uses machine learning to refine audience outreach and engagement.

6. SweetHawk

Finally, and in what was probably the most technical presentation of the evening, came SweetHawk, which is building “voice for e-commerce”. I have to confess that, although I had previously heard about this product, I’m still not totally clear how it works.

In essence, it’s an outbound platform that enables companies to have more focused/targeted real-time conversations with warm sales prospects, namely people who are visiting their websites. Personally, I would find that a bit spooky, if I was browsing a site and suddenly a widget popped up asking me if I wanted to receive a call right there and then. Isn’t it a bit like stalking?

The business model is designed to offer tiered services in return for monthly subscription fees – depending on call volumes and functionality, such as workflow tools. I would see it as sitting somewhere between an outbound sales call centre and a SaaS-style inbound helpdesk solution.

On the plus side, I do see the opportunity to deliver superior and more responsive customer service, except that SweetHawk appears to be a sales and prospecting platform, not an after-sales or support solution. I’m also used to live chat tools that pop up on various software and other service sites I use, so I would probably engage with a similar offering if I was browsing to purchase.

Final Thoughts

While none of these pitches has so far demonstrated anything truly disruptive (but let’s not criticise them for that), they all seem reasonably sensible and logical solutions using a mix of digitally-driven technologies (cloud, mobile, social, peer-to-peer, data analytics) that we are all increasingly familiar with. So, rather than major game changers, I see each of them building on established platforms. By refining the potential that new technologies and business models are creating, they are tapping into better-defined client needs rather than taking a “build it and they will come” approach.

In conclusion, I was generally impressed by the 6 pitches on offer, although some of the presentations will no doubt be reworked in light of the audience feedback and Q&A, and before the plucky founders hit the investor road show organised by AngelCube.

The event was hosted by inspire9, and sponsored by BlueChilli and PwC.

Next week: More on FinTech – another look at data and disintermediation

Deconstructing #Digital Obsolescence

Posted on July 7, 2015 by Content in Context

Remember the video format wars of the 1980s? At one point, VHS and Betamax were running neck and neck in the consumer market, but VHS eventually won out (although the also-ran V2000 was technically superior to both). Since then, we’ve had similar format battles for games consoles, video discs, computer storage, CD’s and e-books. It’s the inevitable consequence of operating platforms trying to dominate content – a continuing trend which has probably reached its apotheosis with the launch of Apple’s Beats 1 streaming service. This convergence of hardware and software is prompting some contrary trends and, if nothing else, proves our suspicion of hermetically sealed systems…

Trevor Jackson embarks on a format frenzy….

1. Digital Divergence

Earlier this year, UK music producer Trevor Jackson released a collection of 12 songs, each one pressed on a different media format: 12″, 10″ and 7″ vinyl; CD and mini-CD; cassette; USB; VHS; minidisc; DAT; 8-track cartridge; and reel-to-reel tape. Of course, he could have also used 78 rpm shellac records, digital compact cassettes, Digital8 tapes, 3.5 and 5.25 inch floppy disks (still available, I kid you not) or any of the multitude of memory cards that proliferate even today.

While Jackson’s “Format” project might seem gimmicky, it does demonstrate that many digital formats are already obsolete compared to their analogue counterparts (and until very recently, I could have played 8 of the 12 formats myself – but I’ve just donated my VHS player to our local DVD store).

As I have blogged previously, there is an established body of digital/analogue hybrids, especially in data storage, and I can only see this continuing as part of the creative tension between operating systems and content formats.

2. Digital Archeology

Each new hardware/software upgrade brings a trail of digital obsolescence (and a corresponding amount of e-waste). It’s also giving rise to a new discipline of digital archeology, combining forensics, anthropology and hacking.

Back in 2002, it was discovered that a 15-year old multimedia version of the Domesday book was unreadable* – yet the hand-written version is still legible, and available to anyone who can read (provided they can decipher 1,000-year old Norman English). Apparently, it has taken longer to decrypt the 1986 video disc than it took to create it in the first place.

More digital archeologists will be needed to mine the volumes of data that reside in archival formats, if we are to avoid losing much of the knowledge we have created since the advent of the personal computer and the public internet.

3. Digital Provenance

We’re used to managing our data privacy and computer security via password protection, network protocols and user authentication. If we think about it, we also question the veracity of certain e-mails and websites (phishing, scamming, malware, trojans etc.).

A while ago I blogged about the topic of digital forgeries, and the associated phenomenon of digital decay. Just as in the art world, there is a need to establish a method of digital provenance to verify the attributes and authenticity of content we consume.

We are already seeing this happen in the use of block chains for managing cryptocurrencies, but I believe there is a need to extend these concepts to a broader set of transactions, while also facilitating the future proofing and retrofitting of content and operating systems.

4. Digital Diversity

In response to closed operating systems, sealed hardware units and redundant formats, there are several interesting and divergent threads emerging. These are both an extension of the open source culture, and a realisation that we need to have transferable and flexible programming abilities, rather than hardwired coding skills for specific operating systems or software platforms.

First, the Raspberry Pi movement is enabling richer interaction between programming and hardware. This is especially so with the Internet of Things. (For a related example, witness the Bigshot camera).

Second, Circuit Bending is finding ways to repurpose otherwise antiquated hardware that still contain reusable components, processors and circuit boards.

Third, some inventive musicians and programmers are resuscitating recent and premature digital antiques, such as Rex The Dog‘s re-use of the Casio CZ-230S synthesizer and its Memory Tapes to remix their first single, and humbleTUNE‘s creation of an app that can be retrofitted to the original Nintendo Gameboy.

These trends remind me of those Radio Shack and Tandy electronics kits I had as a child, which taught me how to assemble simple circuits and connect them to hardware. (And let’s not forget that toys like LEGO and Meccano started incorporating motors, electronics, processors and robotics into their kits many years ago.)

5. Salvaging the Future

Finally, as mentioned above, built-in digital obsolescence creates e-waste of the future. A few recycling schemes do exist, but we need to do a better job of reclaiming not just the data archives contained in those old disks, drives and displays, but also the materials from which they are made.

* My thanks to Donald Farmer of Qlik for including this in his recent presentation in Melbourne.

Next week: #FinTech – what’s next?

How to Survive a #Startup Weekend

Posted on April 14, 2015 by Content in Context

A rite of passage for any startup founder or budding entrepreneur is a weekend hackathon, and a Startup Weekend is probably the best way to throw yourself in at the deep end. As part of Startup Week, the York Butter Factory hosted Melbourne’s first fintech event. Here’s how I managed to survive the ordeal….

Your correspondent in full flow at the Final Pitch…

Rather than provide an hour-by-hour account of my experience (the schedule is on the website and you can read the Twitter feed), here’s my thoughts on what it takes to participate and get the most out of the experience:

Courage

Take a leap of faith, step up and pitch an idea at the open mike session on the first night. Not only does this force you to craft your message, it also helps overcome any nervousness or awkwardness in joining a room full of total strangers with whom you will be working for the next 54 hours. My idea didn’t get enough votes, but it did spark several interesting conversations with other participants, such that I will probably take it further.

Stamina

Pace yourself. Yes, you could spend every available hour on finishing that customer validation, or refining the pitch, or making sure your demo site is up and running – all of which are important – but you also need to make time for rest, sleep, eating (all catering is laid on) and exercise. Again, 54 hours is a long time to spend on a single activity.

Open Mindedness

I had some idea from the program notes what to expect, but I still didn’t really know what it would it be like. So it was great to just go with the flow, to see what would happen. The format, structure and schedule (as well as the rules and requirements for the Final Pitch competition), pretty much define what goes on. But your attitude and willingness to be open to new ideas determine how much you get out of the experience.

I should also mention the value in having direct access to so many experienced mentors throughout the weekend – although I know from the experience, it’s hard not to get too defensive when mentors find fault with your project, and difficult to remain true to the idea when some of the feedback is contradictory.

Teamwork

Building teams to collaborate on a startup idea forms the basis of the hackathon model. As my own idea did not get enough votes at the open pitch, I looked to join a team that was a good fit in terms of the idea, the mix of skills to complement my own, and the ability to execute. As a “non technical” participant, I was extremely fortunate to be part of team that had a great balance of back-end and front developers, design skills and mobile deployment. Plus, given the theme was fintech, it was fantastic working with people from a banking IT background. (It also helped that several team members were veterans of Startup Weekend.)

Defining Roles

Although we didn’t spend a great deal of time creating or defining roles within the team, each of us played to our strengths, by self-determining what we would work on, and what our contribution would be. The only tricky decision was choosing who would present the Final Pitch to the panel of judges – but a process of elimination, preference and negotiation resulted in yours truly taking on the role.

Tools

In addition to the various software, hosting and domain name resources provided to each team, I was impressed by how many other tools the team plugged into – such as Trello, GoogleForms, Hangouts, ThemeForest, CanvasModel Design and Launchrock – most of which were free. We also spent some time reviewing competing and complementary products as part our MVP validation.

Less Is More

We could have spent a lot of time on customer validation – but we chose instead to talk to 3 or 4 key target customers for the MVP (qualitative), and run an on-line survey (quantitative) which generated around 100 responses overnight (not bad considering it was a weekend…). We also had more content than we actually used: the lean canvas business model was used sparingly, as was a competitor heat map; but it also meant that when we came to developing our pitch presentation, we had the luxury of being able to take stuff out and only focus on the important and most relevant points. Thanks, also, to a presentation template that one of the team had just used at a recent management course!

Practise

Having been chosen to make the Final Pitch on behalf of the team, and despite quite a lot of experience in making business presentations and in public speaking, I was extremely grateful for the coaching, feedback and rehearsals the team put me through. Getting to know the material, understanding the anchor points and how to navigate from topic to topic, helped me to give a presentation that flowed logically and hopefully demonstrated that the team had met the competition brief.

The Result?

Unfortunately our team did not win, nor did it place in the top 3. The judges pinged our presentation for being “too confident”, and for not demoing our prototype (we did briefly put up our beta website) – but given the working prototype mostly comprised some backend coding, it wouldn’t have been that interesting from a visual perspective.

Notwithstanding our disappointment on the night, the team is planning to get together to see how far we can take the idea, and separately I’ve been asked to join a new team at an upcoming hackathon.

(If anyone is interested, we designed a P2P payments tool called PayMee)

Next week: 3 Ways to Fund Your #Startup

The 3L’s that kill #data projects

Posted on March 3, 2015 by Content in Context

The typical data project starts with the BA or systems architect asking: “fast, cheap or good – which one do you want?” But in my experience, no matter how much time you have, or how much money you are willing to throw at it, or what features you are willing to sacrifice, many initiatives are doomed to fail before you even start because of inherent obstacles – what I like to refer to as the 3L’s of data projects.

Image taken from "Computers at Work" © 1969 The Hamlyn Publishing Group

Reflecting on work I have been doing with various clients over the past few years, it seems to me that despite their commitment to invest in system upgrades, migrate their content to new delivery platforms and automate their data processing, they often come unstuck due to fundamental flaws in their existing operations:

Legacy

This is the most common challenge – overhauling legacy IT systems or outmoded data sets. Often, the incumbent system is still working fine (provided someone remembers how it was built, configured or programmed), and the data in and of itself is perfectly good (as long as it can be kept up-to-date). But the old applications won’t talk to the new ones (or even each other), or the data format is not suited to new business needs or customer requirements.

Legacy systems require the most time and money to replace or upgrade. A colleague who works in financial services was recently bemoaning the costs being quoted to rewrite part of a legacy application – it seemed an astronomical amount of money to write a single line of code…

As painful as it seems, there may be little alternative but to salvage what data you can, decommission the software and throw it out along with the old mainframe it was running on!

Latency

Many data projects (especially in financial services) focus on reducing systems latency to enhance high-frequency and algorithmic securities trading, data streaming, real-time content delivery, complex search and retrieval, and multiple simultaneous user logins. From a machine-to-machine data handover and transaction perspective, such projects can deliver spectacular results – with the goal being end-to-end straight through processing in real-time.

However, what often gets overlooked is the level of human intervention – from collecting, normalizing and entering the data, to the double- and triple-handling to transform, convert and manipulate individual records before the content goes into production. For example, when you contact a telco, utility or other service provider to update your account details, have you ever wondered why they tell you it will take several working days for these changes to take effect? Invariably, the system that captures your information in “real-time” needs to wait for someone to run an overnight batch upload or someone else to convert the data to the appropriate format or yet another person to run a verification check BEFORE the new information can be entered into the central database or repository.

Latency caused by inefficient data processing not only costs time, it can also introduce data errors caused by multiple handling. Better to reduce the number of hand-off stages, and focus on improving data quality via batch sampling, error rate reduction and “capture once, use many” workflows.

Which leads me the third element of the troika – data governance (or the lack thereof).

Laissez-faire

In an ideal world, organisations would have an overarching data governance model, which embraces formal management and operational functions including: data acquisition, capture, processing, maintenance and stewardship.

However, we often see that the lack of a common data governance model (or worse, a laissez-faire attitude that allows individual departments to do their own thing) means there is little co-operation between functions, additional costs arising from multiple handling and higher error rates, plus inefficiencies in getting the data to where it needs to be within the shortest time possible and within acceptable transaction costs.

Some examples of where even a simple data capture model would help include:

standardising data entry rules for basic information like names and addresses, telephone numbers and postal codes
consistent formatting for dates, prices, measurements and product codes
clear data structures for parent/child/sibling relationships and related parties
coherent tagging and taxonomies for field types, values and other attributes
streamlining processes for new record verification and de-duplication

From experience, autonomous business units often work against the idea of a common data model because of the way departmental IT budgets are handled (including the P&L treatment of and ROI assumptions used for managing data costs), or because every team thinks they have unique and special data needs which only they can address, or because of a misplaced sense of “ownership” over enterprise data (notwithstanding compliance firewalls and other regulatory requirements necessitating some data separation).

Conclusion

One way to think about major data projects (systems upgrades, database migration, data automation) is to approach it rather like a house renovation or extension: if the existing foundations are inadequate, or if the old infrastructure (pipes, wiring, drains, etc.) is antiquated, what would your architect or builder recommend (and how much would they quote) if you said you simply wanted to incorporate what was already there into the new project? Would your budget accommodate a major retrofit or complex re-build? And would you expect to live in the property while the work is being carried out?

Next week: AngelCube15 – has your #startup got what it takes?

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