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Ultimate Guide to Cutting Sales and Marketing Costs for Cloud Services

Or “How to specialise in talent and techniques which will actually make a difference”

Are you trying to find how to slash your sales and marketing budgets? Why not try our CSiaB solution (Cloud Salesperson during a Box). Contents of the box include a life-size cardboard cut-out of a cloud salesperson with a winning smile. Also included are audio files and presentation materials to enable your CSiaB to recite the cloud mantra as follows:

The worlds of business and IT are changing!

New disruptive players like Uber and Airbnb are a threat to us all.

The future is a cloud – but immediately you've got legacy systems so we’ll specialize in Hybrid Cloud.

The answer to your Hybrid Cloud needs is an integrated solution that links public and personal clouds seamlessly.

We have the solution . a replacement Cloud offering that does this all and does it better than everyone else’s cloud offering in some undefined way.

 For even better results try the deluxe CMiaB solution (Cloud Marketeer during a Box). Contents of this box include a life-size cardboard cut-out of a cloud marketeer with an even bigger smile. The deluxe CMiaB solution also includes audio files that last longer and presentation materials in brighter colours to recite the cloud mantra with even greater impact.

Also available for budget-conscious clients that lack space for storing for these life-size cardboard cut-outs are CSaaS (Cloud Salesperson as a Service) and CMaaS (Cloud Marketeer as a Service). Included in these packages are videos which will be streamed live and projected onto screens to seem and sound like sales or marketing staff – again with winning smiles!

As a special promotion, this month bundled with of these solutions we are including CEaaS (Cloud Education as a Service) – This service provides unlimited access to the Compare the Cloud podcast library (WARNING: taking note of an excessive amount of Andrew McLean and Neil Cattermull are often hazardous to your sanity).

Seriously though, what percentage events and conferences have you ever been to recently where most the keynote speakers are delivering variations on an equivalent cloud mantra – the one cited above – without clearly explaining what their differentiation is.

At least with the massive public cloud providers you've got some clear differentiation. On top of this with the array of services from the AWS marketplace you've got many choices while with AWS Glacier at only $0.007 per gigabit per annum (yes that’s right – but a cent!) you’ve got some amazing value services also.

In the private cloud camp all the vendors are converging on VMware or, as is increasingly the case, OpenStack (CloudStack and Eucalyptus having both bitten the dust). With of these vendors offering an equivalent cloud mantra with an equivalent technology stack, understanding the differentiating between their competitive offerings is usually hard to try to to .

The unfortunate truth is that altogether probability:

Your value proposition and differentiation isn’t all that well understood.

What you are doing isn’t necessarily seen as unique by your target market.

Others could copy you if they were motivated to try to so.

When was the last time you bought an independent third party to quiz your clients and prospects to urge a true idea of how well they understand you and value you?

Indeed what quite competitive intelligence does one wear your market?

s that the ONLY way that you simply are getting to create and sustain a differentiated brand. However, this doesn’t mean investing more in traditional marketing techniques or in marketing headcount.

Instead you would like to focus on:

Influencer Marketing: if you don’t know who the most influencers are then started by watching our monthly #CloudInfluence Rankings. If you don’t have similar intelligence for the markets that you simply serve then you're competing at an obstacle.

Content Marketing: note that “90% of all content marketing gets NO reaction. That’s massive wasted effort and cost .” So you would like to prevent wasting your effort and resources on tactics that don’t work and begin applying rigorous data-driven intelligence to fine tune your content creation and targeting.

Social Selling: if your sales teams aren’t active on social media and actively building their following and social connections then they simply aren’t present within the same circles as your prospects.

Talent Acquisition: with marketing automation tools you don’t need an outsized marketing headcount. you're better of that specialize in the little number of really talented individuals which will really make a difference. the truth is that anyone who isn’t top 


Data roaming charges –are we actually liberal to roam?


Earlier this year it had been announced that data roaming charges are going to be abolished within the EU by 2017.information technology degrees This agreement, requiring telecom operators to treat most mobile data equally, has been long-awaited, particularly in light folks adoption of net-neutrality rules. For the primary time in Europe, the principle of knowledge neutrality is going to be reached, which suggests internet service providers (ISPs) not got to favor national Mobile Network Operators (MNOs) to stay costs contained.

Starting from April 2016, telecoms operators will only be allowed to feature a stated surcharge for the services, making roaming within EU up to 75 per cent cheaper. With this upcoming decrease in revenue will it have a negative impact on service?


Why roaming costs

It all started back within the days of fixed-line telecommunications; if you wanted to call someone overseas they needed to possess a phone on an equivalent network to answer. it had been how of funding international network development and compensating them for connecting the decision . Otherwise the “other end” received no money as typically only the person making the decision gets charged. The introduction of fixed line competition within countries meant that the model was extended to also cover national traffic.

It all started back within the days of fixed-line telecommunications…

When mobile telephony started it followed an equivalent process except you took your phone with you and “roamed” onto another network. Following a period of international roaming you were still billed in your home country but the local networks, who ran all the masts, had to be paid and this is often done via the international roaming rate they set.

If each operator sends one another an equivalent amount of traffic then nobody cares much about the particular rate because it nets off, but if the traffic is out of balance then it is often very lucrative. The more out of balance it's the less one party wants to re-negotiate the speed. Therefore, because the underlying cost of delivering a call has fallen the “roaming” part has done so at a way slower rate. this suggests local prices have fallen faster than international roaming rates. 

When most of the people paying these international rates were business users there wasn’t much drive to correct this, but as travel within the EU increased more people complained about the prices . This prompted the EU to try to something positive and regulate reductions within the roaming rate.

What does this mean for consumers?

The removal of roaming charges doesn't mean data are going to be free; consumers will simply pay an equivalent for data in each EU country. There are discussions on whether data will become like many mobile contracts, and become ‘Pay as you go’ or ‘Unlimited’. 

This, however, may be a great distance off, it'll take a few years to be applied globally and therefore the market is already seeing some pushback on this. Even for service providers, there are significant benefits to the ‘eat the maximum amount as you can’ model, as it’s much simpler to invoice then the related back-office/infrastructure needs are much smaller. However, the network still has got to be purchased and there's always some extent when it'll be perceived as unfair that someone’s phone isn’t connecting because another is consuming capacity streaming music all day. 

What are the challenges to the providers?

Convincing customers that other aspects of the service are worth paying for which increasingly, the info quantity consumed is not any longer the main a part of the general cost are key challenges for providers today. At an equivalent time, providers also got to encourage additional services that deliver more value and can inherently use more data, giving the service provider business revenues a natural lift.

Ultimately the news of the fees being scrapped is great for consumers around the EU. The threat of bills worth hundreds and many pounds are soon to be a thing of the past. However, one thing is sure – mobile providers will be got to readdress their pricing in other areas, to catch up on the inevitable loss in revenue they're going to face. Consumers will be got to remember those potential changes and ensure they gain transparency from their providers, when looking to require out or renew a phone contract. Operators too will be got to look out when looking to restructure pricing, guaranteeing they continue to be competitive and don’t alienate their customers. MNOs aren’t greedy but the fees did need sorting. they're going to, however, need to find new ways of funding the continued investment in infrastructure as this was one among the means to try to so. One year on Apache Spark continues a winning battle against data management misery

Take a deep breath and herald the arrival of Apache Spark – the ape-man in data management set to form all our lives easier. I’ll explain why Spark is so good shortly, but first, let’s start by putting it into context.

Back within the old days of IBM DB2 and Oracle, we wont to check out our data in very structured forms like tables and spreadsheets. No surprise there, considering that tabular data and relational databases were the foremost efficient thanks to managing data with the computing power we had. Normalised, structured data spawned a really powerful ecosystem of patterns and tools to analyse data.


All great things yes?

No. These systems only worked as long because the data was structured and normalized, and therefore the format of the info sources was deterministic. The old systems did not accommodate for when the landscape dramatically changed, i.e. once we added things like social feeds, news streams, and sensor data into the combination . Data that we now call unstructured data or more commonly, Big Data; in other words, data that couldn’t be analysed with the tools and methods we inherited from the times when normalised and relational data prevailed.

What did we do about Big Data? the answer came from Google and Yahoo! In mid-2000 Google issued a paper on an algorithm called MapReduce, which streamlined analytics of massive data, making it easy to run it on multiple parallel machines. A year later, Yahoo! released Hadoop which for several years became the industry standard for analysing Big Data.

So what issues can we face today?

Unfortunately for Hadoop and similar tools, technology never stands still. Big surprise there!

System configuration management has become a big think about how briskly we are ready to develop and test a replacement analytics algorithm and it's something we now need to adapt to.

Enter Apache Spark

Enter Apache Spark. The timing couldn’t are more perfect. A project that started in 2009 within the AMP labs of UC Berkley has quickly evolved into a top-level Apache project with over 465 contributors by 2014. We are now witnessing its genius because it has unprecedented positive affects on the info management industry.

In contrast to Hadoop’s implementation of MapReduce, Spark provides performance up to 100 times faster. By allowing user programs to load data into a cluster’s memory and query it repeatedly, Spark is well-suited to machine learning algorithms. Spark allows us to interactively explore data.

Say goodbye to the times once we were forced to model data with one set of tools then implement and run our models with another, and say hello to a more streamlined data management approach. Spark closes the gap between data discovery and running analytics in production, giving a beat one approach to watching data by using a state-of-the-art Functional Programming approach.

But hold your horses, because it gets even better. within the very near future Spark will still change and revolutionise the way we glance at data, giving us the inspiration to urge the foremost out of it during a lean and agile manner. 

Uncovering the reality About 5 Cloud Adoption Challenges

There’s no denying the very fact that cloud adoption is on the increase. For proof, look no further than Cloud Sherpas’ 2015 Enterprise Cloud Report, which found that 82% of enterprises identify cloud technology as a key a part of their IT strategy and 75% are already implementing or using a minimum of one cloud application.

However, there’s no denying the very fact that a lot of organisations still harbour concerns about adopting cloud technology. consistent with a 2014 study from IDG Enterprise, concerns about security (61%), integration (46%) and knowledge governance (35%) top the list.

While these factors have each co-existed up so far, we’ve now reached the purpose of the intersection, as organizations now face the prospect of adopting cloud technology for falling behind the competition. As a result, it’s more important than ever to beat any challenges that exist. But is it possible? the reality is, most organisations consider these to be greater challenges than they really are. In any case, you'll overcome them with the right strategy.

With that in mind, here’s what you would like to understand about overcoming the highest five cloud adoption challenges.

1) Security Challenges

When you get right down to it, you’ll find that security concerns aren’t just confined to the cloud. Security has always been a priority within the on-premise environment too, and with good reason, because we always got to keep security top of mind. As a result, security isn’t a cloud-specific challenge.

That said – security remains a challenge. While we should always never stop listening to security, there are many organisations that have had some roadblocks to beat during this area on their cloud journeys. In most cases, cloud security issues have happened because organizations have did not pay enough attention to or make enough investments during this area. Overcoming these security challenges may be a matter of developing and enforcing a comprehensive security policy that addresses the info of both you and your system.

2) System Challenges

System challenges include integration, interoperability and system availability, each of which presents its own unique concerns.

Integration is another challenge that's not cloud-specific. In fact, the cloud can make integration less challenging thanks to the resources made available by SaaS providers. Knowing the way to approach integration within the cloud is crucial, as this could very than you'd on-premise. The key here is to require a more holistic approach instead of building point-to-point integrations as required.

Looking at interoperability, we do have a cause for concern. the simplest thing to try to here is to know that the cloud market is maturing a day and to look at your current IT landscape to work out what the simplest fit is for your organization.

system availability is about doing all of your due diligence when it involves selecting your cloud providers

Finally, we've system availability, which is especially a challenge on the front of cloud adoption, as it’s all about doing all of your due diligence when it involves selecting your cloud providers. Leading cloud providers run services for thousands of companies, in order that they should have high redundancy and failover plans to take care of availability. If you are doing your research before time and confirm your provider meets your standards, you ought to not face any challenges down the road.

3) Cost Challenges

We can also break down cost challenges into a couple of different areas of focus: Implementation, structure and ROI.

Challenges around cloud implementation costs are another case of concerns that aren't cloud-specific. call center technology

 There are costs that accompany implementing any technology, which doesn’t change within the cloud.

What does change within the cloud though is that the structure of costs over the lifetime of those solutions. Whereas on-premise technologies typically require a one-time investment upfront, the SaaS model is predicated on recurring costs. this alteration doesn’t need to be a challenge though; it’s simply a matter of preparing for the difference. You’ll also find that a lot of of the “hidden” costs that came with on-premise technologies (e.g. maintenance, upgrades) disappear within the cloud.

Finally, the thought that the cloud lacks an efficient ROI is absolute perception. The ROI your organisation realises all comes right down to how you’ve built your cloud strategy and whether or not you've got a robust business case for adopting any given solution. But if you are doing , the ROI within the cloud is extremely real. This recent data from Salesforce and IDC is evidence of that.

4) Legal and Compliance Challenges

The truth is regulators don't typically prohibit the utilization of cloud technology. While you want to pay particular attention to factors like data residency and security, once more this is often not something that's cloud-specific. Meeting these requirements in highly regulated industries is often challenging because it is often on-premise. to beat this, you would like to try to your due diligence about the regulations for your industry and region also as what protections your cloud providers offer. Steps to require to assist during this area include creating a cloud risk management strategy, engaging with regulators early to debate your cloud adoption activities, sharing any risk concerns together with your cloud providers, managing any risks through ongoing measurement of performance and ensuring your IT governance framework contains a cloud strategy that’s aligned together with your regulator’s standards.

5) Organisational Challenges

Some of the foremost common organisational challenges include fear of/resistance to vary and a scarcity of cloud skills among IT teams. While both of those challenges are very real, the simplest thanks to overcoming them are to face them head-on. for instance , watching fear of change, you’ll want to introduce a change management program that drives awareness and clearly communicates with users. In terms of IT skills, proper training can go an extended way. Augmenting your internal IT team with an external partner also can help close any gaps. generally , educating your organisation on the worth that cloud solutions can provide and dispelling myths surrounding the opposite challenges listed here can go an extended way toward easing challenges during this area.

No Challenge is that the Be All, End All To Cloud Adoption

Yes, cloud adoption challenges exist, but many of those challenges have existed for an extended time within the on-premise world too.cloud computing technology While it’s important to spot challenges and pay them extra attention, it’s also essential to recognize that no challenge is robust enough to stop cloud adoption.

As outlined above, it's possible to beat common challenges to cloud adoption, it’s simply a matter of proper planning and education when it involves researching solutions and vendors, preparing your IT team and users and developing your cloud strategy.