Binary options strategy 90 or higher success rate top fiveit
We want to be the first choice for people and businesses needing help looking after their things. LOVESPACE is currently doubling in size year on year and with this comes the challenge of simultaneously maintaining the quality of our service whilst delivering improved marginal economics as we scale. We approach the challenge of scaling in three main ways. First, we understand the relative value of different customers through cohort analysis. Secondly, once we have identified our main target segments we understand their needs in detail via customer journey mapping and thirdly we ensure we have an underlying product roadmap that allows us to deliver a scalable operation to meet the needs of these customers.
We have been analysing cohort economics for some time. The discipline is well understood in the SAAS environment see this excellent series of articles by Joe Knowles but is also relevant to subscription businesses like ours. We now have the ability to track customer acquisition costs versus life-time value for each of our core segments SMEs, Students, Movers and Declutterers. By doing so it becomes clear where in the service we can make changes to improve customer experience.
For example, as a result of this process we made significant changes to our onboarding emails and welcome pack, to improve the rate of customers that are ready for their collections and deliveries. Once we have understood the needs of our customers in some detail we ensure that our product roadmap will deliver against those needs as we grow. Our warehouse and driver management app allows binary options strategy 90 or higher success rate top fiveit to keep costs down through automation and is the key to our ability to scale.
And with the upcoming launch of our consumer app we will be able to provide customers with an enhanced experience by allowing them to track their driver and manage their orders straight from their phone. The report lays out 10 pillars consisting of wide reaching measures with implications for the whole economy. In my previous post I pulled out the proposals which I think are most relevant to the UK early stage tech sector.
The strategy is principally concerned with improving the productivity of the UK workforce. It reports that despite strong GDP growth since second only to the United States among advanced economiesand the lowest un-employment rate for 11 binary options strategy 90 or higher success rate top fiveit, real wages have struggled to recover from the decline during binary options strategy 90 or higher success rate top fiveit recession.
Whilst the UK had started to close the gap in terms of output per worker middle chart, below with France, Germany, and to some extent the US, much of this progress was reversed during the recession.
More importantly, the UK remains far behind all three countries in terms of productivity per hour worked. As the right hand chart below shows, workers in the US, France and Germany produce as much in 4 days as UK workers do in 5.
As well as improving overall productivity, the strategy aims to correct stark regional disparities. According to the paper, this is more pronounced than it is for our neighbours, although it is difficult to compare apples with apples given the differing geographies of different countries.
Well the report rightly highlights technology innovation by early stage businesses as an important driver of productivity improvement and it specifies two main barriers holding this innovation back. The UK invests 1. This is a function of lower government spending but also a below average ratio of private to public investment. The report also emphasises that whilst the UK has a strong record of early stage research, we are relatively weak at turning those innovations into commercial successes.
Whilst our distribution is not hugely out of line compared to other European countries, we have a striking skew towards early stage research basic and applied research rather than binary options strategy 90 or higher success rate top fiveit development compared to innovative countries such as Israel and many Asian countries.
The UK ranks 3rd for business start-ups but only 13th for scale-ups according to OECD research, and whilst was a record year with 5. Yes, the UK is far behind the US in terms of scale-up successes but I am not sure that this is down to a lack of funding. For UK businesses to reach anywhere near the scale of similar US competitors they either need to go to the US or to multiple other markets.
Some of the current and proposed work by the Department of International Trade including expansion of export finance may well help with this by making it easier for UK businesses to scale internationally. At Smedvig Capitalwe are lucky to have a very flexible mandate and we certainly see that many successful investments take longer than the 3—5 years that many companies are forced to aim binary options strategy 90 or higher success rate top fiveit our average hold period is 7 years.
The report also singles out lower levels of fixed capital investment for UK listed firms compared to other OECD countries as a possible symptom of short term incentives in public markets holding back long term investment we have been in the lowest 10 per cent for 16 of the last 21 years. If you have a view on this topic, the government has launched its business scale-up inquiry and is looking for feedback by May 3rd.
You can read about the proposed measures to help UK businesses scale-up in my previous post. This week I got round to reading it and although it is long pages and far reaching, it does have some proposals relevant to the UK technology ecosystem.
The government is looking for feedback on the strategy so if you have any, I would urge you to respond to its request for input by 17th April.
Pillars 1 and 4 are particularly relevant. There are many broad implications for business, but I will highlight the three main implications for early stage tech. There are many approaches discussed with varying levels of rigour, but the key proposals are:.
Start-ups should keep an eye out for how to access this funding. Again, an important area to watch for start-ups and investors alike. The government seeks initial views which can be submitted here by 17th April. Start-ups and investors should have their say. Start-ups should consider whether their sector might be applicable for Challenge Fund support. But again, the government seeks suggestions.
Pillar Four is focussed on measures to help businesses scale-up, with the following proposals being of particular interest:. Scale-up companies should follow how this review could help them. Binary options strategy 90 or higher success rate top fiveit could be a valuable source of finance for scale-up companies.
Growth investors should input into what data could help spot potential targets and how this could best be accessed. The government has launched its business scale-up inquiry and is looking for feedback by May 3rd. More on this in my next post. There are many other implications for business more broadly, but I have chosen to focus on those which specifically effect technology start-ups.
One example of a broader proposal is an expansion of export finance and the Department of International Trade DIT in an effort to boost exports and binary options strategy 90 or higher success rate top fiveit it easier for UK businesses to scale internationally.
If you are thinking of international expansion, I would recommend that you find out how the DIT can help. Start-ups and investors should keep an eye on how these new measures evolve as they could present valuable opportunities for funding and support.
Importantly, the strategy is presented as work in progress and the government welcomes input from industry, you can respond here if you have any feedback. In my next post I will look at some of the reasons behind the measures discussed in this article.
In my last two posts I explained why LTV: But what do we do if we need binary options strategy 90 or higher success rate top fiveit improve either of these metrics? Unfortunately there is no easy answer. Even if there was, the right approach would be specific to each individual business situation, so there is no generic playbook for how to improve. It is a on-going tactical and strategic battle. However, in this article I will discuss some high level steps that may help you to forge an informed path and give yourself a fighting chance of making the right moves.
We have already discussed why these metrics are importantand if you are not tracking how they evolve on a monthly or quarterly basis, you should be. Of course for an early stage business you can expect metrics to move around quite a bit as you make changes and your business evolves. But by measuring LTV: More on the specifics of how to actually calculate key metrics in a later post. CAC and CAC Payback are nice, concise metrics that give you an academic read on the overall health and potential of your business.
But they are not actionable. To understand how to act to improve either of these two key metrics, we first have to binary options strategy 90 or higher success rate top fiveit their constituent components. You can see how the change between opening and closing was driven by new MRR from new clients, expansion or contraction in MRR from existing clients, and finally gross churn, which is MRR lost due to clients who have left.
It is important to track your gross margin for the month and your sales and marketing spend. I also like to track the total number of customers. More on the MRR bridge and how to use it to actually calculate your key metrics in a later post.
Sometimes you can improve your key metrics just by shifting your mix of customers, products or channels, without having to think about driving change in any given component. You may decide to change your approach by cutting sales and marketing spend to that segment, binary options strategy 90 or higher success rate top fiveit reducing their account management.
In some cases, you could decide to just stop serving customers below a minimum threshold altogether — saying no can be a powerful tool. But to make decisions about your segment mix, you first need to be able to measure the key metrics and their components at a segment level.
Segmented metrics is probably something I would only consider for later stage businesses post Series B because it only really makes sense if you have enough customers and use cases to segment meaningfully and if your product, and sales teams are sufficiently structured.
The most common type of segmentation. Typically broken down by size e. It can be useful to see how your key metrics vary by channel.
For example, inside sales vs field sales vs re-seller partnerships, or online marketing vs direct mail. Also up-sell vs new sales. This is less common, but in some cases where you have different sales teams selling different products, it may be worth considering the economics of each product individually. If you measure LTV: CAC and CAC payback for each segment you might find that one customer segment, or one channel, or one product group is pulling the rest of the business down.
Conversely, it might be that you have one or two star segments with stellar economics where you should be focusing all your resources. You may decide that tweaking your segment mix is not the right approach and that you need to take corrective action to drive improvements in a specific component of your unit economics. There are too many options, and the answer too dependent on the specifics of the commercial situation, to go into detail here.
But below I have laid out some of the questions you might consider when trying to improve each component of unit economics.
These suggestions are by no means exhaustive. Can we productise these services? In other words, how can we deliver more new MRR for the same or less sales and marketing spend?
Over the last three articles we have seen the importance of LTV: Finally we have considered ways of improving these key metrics. In reality it is a constant tactical battle which is never over. There are limitless tools and options and no easy right answer.
Incorporated by reference herein are Appendices A, B and C, which are submitted on a compact disc and contain computer program listings.
The compact disc contains the following files:. The present invention relates generally to data redundancy methods and apparatus. Various aspects relate more particularly to redundancy data generation, data restoration, data storage, redundancy adjustability, data communication, computer network operations, and code discovery techniques. Information is now recognized as a key organizational asset, essential to its operation and market competitiveness.
Access to critical information on a continuous basis is a mandatory requirement for survival in the business world. Critical applications involving military operations, communications, audio-visual, medical diagnoses, ISP Internet Service Provider and Web sites, or financial activities, for example, depend upon the continuous availability of essential data.
Downtime is extremely costly. Customers, vendors, employees, and prospects can no longer conduct essential business or critical operations. Well-documented studies place the cost of downtime in the tens of thousands or even millions of dollars per hour.
The need for large amounts of reliable online storage is fueling demand for fault-tolerant technology. More telling than that figure, however, is the growth in capacity being shipped, which grew percent in Much of this explosive growth can be attributed to the space-eating demands of endeavors such as year testing, installation of data-heavy enterprise resource planning applications and the deployment of widespread Internet access. However, the claims are mostly unrealistic when examined.
The actual practical life of a disk drive is 5 to 7 years of continuous use. Many Information Technology managers are aware that disk drives fail with great frequency. This is the most likely reason why companies place emphasis on periodic storage backup, and why there is such a large market binary options strategy 90 or higher success rate top fiveit tape systems.
In general, RAID storage reduces the risk of data loss by either replicating critical information on separate disk drives, or spreading it over several drives with a means of reconstructing information if a single drive is lost. There are basically four elements of RAID: Some methods use a combination of both approaches.
RAID storage systems are usually designed with redundant power supplies and the ability to swap out failed drives, power supplies and fans while the system continues to operate. Sophisticated RAID systems even contain redundant controllers to share the workload and provide automatic fail-over capabilities should one malfunction. Conventional RAID storage configurations have proven to be the best hedge against the possibility of a single drive failure within an array.
If more than one drive in a RAID array fails, however, or a service person accidentally removes the wrong drive when attempting to re place a failed drive, binary options strategy 90 or higher success rate top fiveit entire RAID storage system becomes inoperable. And the likelihood of multiple drive failures in large disk arrays is significant. The resultant cost of inaccessibility to mission-critical information can be devastating in terms of lost opportunity, lost productivity and lost customers.
Accidents can contribute to multiple drive failures in RAID storage. Service personnel have been known to remove the wrong drive during a replacement operation, crashing an entire RAID storage system. In poorly engineered RAID systems, replacing a failed drive can sometimes create a power glitch, damaging other drives.
General data center administrative and service operations binary options strategy 90 or higher success rate top fiveit present opportunities for personnel to inadvertently disable a drive.
It is well-known that the likelihood of a drive failure increases as more drives are added to a disk RAID storage system. The larger the RAID storage system i. Thus, multiple drive failures do not have to occur at exactly the same instant in order to have a devastating effect on mission-critical storage. Given the plausible assumptions that drives fail independently at random times with a certain MTBF, and that they stay down a certain time after failing, the following conclusions may be drawn for large arrays of disks: The multiple failures, though still less frequent than single disk failure, become rapidly more important as binary options strategy 90 or higher success rate top fiveit number of disks in a RAID becomes large.
The following table illustrates the behavior of one, two and three drive failure MTBFs given that single drive MTBF divided by downtime is very much greater than the number of drives:.
Typically, if more than one drive fails, or a service person accidentally removes the wrong drive when attempting to replace a failed drive, the entire RAID storage system is out of commission.
Access to critical information is not possible until the RAID system is re-configured, tested and a backup copy restored. Transactions and information written since the last backup may be lost forever. Thus, the possibility of a multiple-drive failure is very high for mission-critical applications that run hours daily on a continuous basis.
Moreover, the larger a RAID storage system, the greater the potential of suffering multiple-drive failures. And the chances increase significantly for remote locations where the response time to replace a failed drive can extend to several hours or even days. While RAID-0 delivers high performance, it cannot sustain even a single drive failure because there is no parity information or data redundancy. Although the most costly, mirroring data on separate drives RAID-1means that if one drive fails, critical information can still be accessed from the mirrored drive.
SCSI channels, incurring the cost of twice as many disk drives. There is a performance impact as well, since data must be written twice, consuming both RAID system and possibly server resources. Adding a global hot spare provides the ability to perform a background rebuild of lost data. Even the exceptions sustain multiple drive failures only under very limited circumstances.
For example, a RAID-1 configuration can lose multiple or all drives in one mirrored stack as long as not more than one drive fails in its mirrored partner. Combining striping and parity within mirrored stacks buys some additional capabilities, but is still subject to these drive-failure limitations. All of the packs described in the following. Safe loss count is 3 when one side has lost no more than one disk, the other perhaps more, we can still recovermax loss count is 6 one entire side, and one disk from the other side.
Thus one entire array of three can be lost, plus one disk of each of the other two. Data capacity is 4 of 9read speed is 9 using nested striping and write speed is 4. Other RAID-like variations exist, but with their downsides. The form of RAID described by Mariani can either be applied to dedicated parity disks or have rotation superimposed as with the two patents referred to belowand additionally requires encryption; which does not treat every binary options strategy 90 or higher success rate top fiveit in a chunk identically.
In addition, the subject matter in U. This leads to read inefficiency unless a rotation structure is superimposed on the formula, in which case it leads to algorithmic inefficiency. Accordingly, what is needed are methods and apparatus that overcome these and other deficiencies of the prior art. A data storage apparatus has a plurality of n disks and data comprising a plurality of n data groupings stored across the plurality of n disks.
Each one of the n data groupings comprise a data portion and a redundancy portion. Extensive research and development has resulted in software algorithms that may be used to augment RAID storage technology by performing automatic, transparent recovery from multiple drive failures without interrupting ongoing operations.
The inventive techniques extend RAID functionality in ways that allow for instantaneous data recovery in the event of multiple simultaneous or near simultaneous disk failures in a disk array. In accordance with one inventive aspect, a data storage apparatus has a plurality of n disks and data comprising a plurality of n data groupings stored in the plurality of n disks respectively. Each one of the n data groupings comprise a data portion and a data redundancy portion. This adds a ground-breaking element to.
Moreover, because these algorithms have exceptionally fast computational speeds, storage transfer rate performance actually increases while adding virtually unlimited data protection. Compared to conventional RAID storage, the inventive storage system improves storage reliability while enhancing overall system performance. The functions are simple and may be easily stored in gate level logic or logic arrays.
Any three of the eighteen disks may fail and the full data can be reconstructed, in the same way that a single disk of an disk RAID-5 array can fail and the data can be reconstructed. In data storage applications, this is a family of codes where n is the total number of disks in the array, and m is the number of disks that are allowed to binary options strategy 90 or higher success rate top fiveit missing while still being able to fully recover the data. In a more particularly described application, a disk array has n disks with a stripe set stored across the n disks.
Each stripe of the stripe set has a data portion of H data bits and a redundancy portion of Q redundancy bits. The bit matrix also has a plurality of n!
Each one of these composite submatrices is invertible. A number of stripe sets are spread across the n devicessuch as a plurality of n stripe sets and a plurality of n stripe sets Referring now to FIG. The storage system has five disk drives A through Ewhere any and all possible combinations of up to two drives may fail and the data is still recoverable.
A failure condition shows that disk drives A and B have both failed; a failure binary options strategy 90 or higher success rate top fiveit shows that disk drives A and C have both failed; a failure condition shows that disk drives A and D have both failed; and so on for a failure condition where disk drives D and E have both failed. For all of these failure conditions, the data is still recoverable from the storage system.
These failure conditions are binary options strategy 90 or higher success rate top fiveit fully summarized in a table in. Here, the storage system has five disk drives A through E where any and all possible combinations of up to three drives may fail and the data is still recoverable. A failure condition shows that disk drives A, B, and C have failed; a failure condition shows that disk drives A, B, and D have failed; a failure condition shows that disk drives A, B, and E have failed; and so on for a failure condition where disk drives C, D, and E have failed.
These failure conditions are more fully summarized in a table in FIG. As apparent, the redundancy configuration of FIG. The tradeoff should be apparent: Users of a storage system may want some flexibility to adjust this data redundancy. The failure conditions shown in FIGS. Data Storage and Wiencko Codes. Definitions are provided for discussion. These definitions should not be used in a limiting sense when construing terms, but are provided in order to teach those skilled in the art how to practice aspects of the invention in connection with the examples provided.
Every stripe of a stripe set is an integer number of chunks, and starts and ends at chunk boundaries. A certain number of chunks of the stripe consist of data, and the rest consist of parity. The capabilities of a Wiencko system are fully realized over a stripe set. Stripe sets need not influence one another's parity or reconstructed data.
In the case of a physical disk, a block is often some multiple of bytes binary options strategy 90 or higher success rate top fiveit ; other communication devices may have usable block sizes as small as one bit. Every bit of a chunk is treated identically; in data and parity operations relating to bits in other chunks at the same relative bit position.
A chunk is an integer number of blocks, and starts and ends at block boundaries. A Wiencko code n.
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