An increase in Internet security threats

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IT leaders perceive an increase in cybersecurity threats, as revealed by Alison DeNisco (@alisondenisco), in an article published on September 16, 2016 in TechRepublic’s CXO Section.

My position?

Florentin Albu, CIO of Ofgem E-Serve, said he believes internet security threats have increased on two dimensions, following a constant rate of growth year-on-year. First, “they have become more sophisticated, with new tools and exploits coming to life,” Albu said. Second, “ransomware has continued to expand into becoming something of a commodity of the malware world.”

It’s also worth noting that some of these tools appear to be associated with past initiatives carried out by state actors, Albu added.

Read the full article here:

http://www.techrepublic.com/article/cybersecurity-two-thirds-of-cios-say-threats-increasing-cite-growth-of-ransomware/

Using the cloud for democratizing data analytics in the enterprise

Here is a diagram of my end-to-end vision for a data platform, which I have presented at the Bioinformatics Strategy Meeting Europe (London, 12/07/2016).

data-platform-vision

Data feeders, such as data capture devices, field sensors, IoT, genomic sequencers, etc., generate data which goes into a Working Data Store.

The Working Data Store (on premises) could use technologies such as Hadoop. Ideally data sets should be identified through a DOI-like system. Data owners/authors should be identified through ORCID. The Working Data Store would  feed a Reference Data Store.

Electronic Lab Notebook systems, and Lab Information Management Systems would also generate data. They would also feed the Working Data Store and potentially the Reference Data Store.

The Reference Data Store (on premises) has all the characteristics associated with the management of active data sets.

Other significant data source are the systems of reference in the organisation (ECM, ERP, CRM, etc). as well as cloud-based data sources

A federated data repository interface is the mechanism through which the access to data across the different repositories would be gained (Working and Reference Data Stores, Systems of Reference and Cloud-based data sources).

The interface would also offer access to the on-site Compute facilities, as well as to cloud-based compute facilities (Amazon, Azure etc).

Through a set of Web APIs, the interface would expose the data as needed to a web platform for publication.

On-site analytics and visualisation tools (e.g. R, Matlab, Galaxy, etc) would access the data through the same interface.

Cloud based analytics and visualisation tools (such as semantic/knowledge based languages with rich,, predefined functions and models for analysis across different domains) would also interact with this data through the federated interface. In addition these would link to cloud-based knowledge repositories directly. This category also includes simpler tools that are available more readily across the enterprise – e.g. PowerBI.

Some of the challenges re data analytics are:

  • Availability of tools across the organisation
    • skills needed, and learning curve;
    • costs;
    • scale-ability and performance.
  • Data availability across the organisation
    • How fit for purpose is the data, and whether it is granular enough;
    • Compliance requirements;
    • Data quality.
  • Interfacing the tools with the data (particularly relevant as some of the cloud tools are in their infancy).

Further reading:

Creative Commons Licence
This article and the diagrams/images included, by Florentin Albu, are licensed under a Creative Commons Attribution 4.0 International License.

A mid-life crisis of back-office business tech

midlifecrisistechIn 2016, the back-office business tech marks the 45th anniversary of Email on its computer networks. It had 16 years of nagging Skype messaging, and a 15-year love-hate relationship with Share Point. More recently, it has started using a flashy new cloud ERP solution. Is it having a mid-life crisis?

On a more serious note, during the past 45 years of modern computing, we have witnessed a fantastic technology progress which has been the direct or indirect source of business value in companies large and small. We have also entered the digital age, with everything virtual or “in the cloud”, enormous computing power at the tip of our fingers, instant access to data anywhere, and overall, a level of tech innovation that permeates through, and positively changes, all aspects of our daily lives.
Looking at business-supporting technology (think your regular back-office environment), we have also seen huge improvements over this period. Computers that are faster, smaller, cheaper – to the point of becoming a commodity. Smart devices. Applications that enhance productivity & collaboration in real time. Tools that help us visualise and interact with data, bridging virtual and real. Paperless environments. Decision support with advanced analytics based on huge amounts of information.
And yet, I believe that the rate of innovation in business-supporting tech is slowing down. In fact, I would argue that over the past 5-10 years we have just seen more of the same, with a dressing of the Moore’s Law: tech that gets faster, smaller, or with nicer interfaces, without being fundamentally different. Like a rock star in a mid-life crisis, back-office tech releases old hits, re-packaged and delivered with a few extras. And like the rock fans, users are talking about the times when the original hits really made a difference.

Where is the problem?
The problem that I see here is not with the technology, it’s with the business process, and here is why.
Technology supports the business processes which we have put in place. It ideally should automate or eliminate the repetitive and low-value steps of the process. It should support us, in bringing value to the process through our judgement, creativity and innovation.
By optimising the underlying technology of a business process, we can improve the corresponding steps of that process: e.g. switching from fax to email will make information transfer instantaneous. However, optimising the technology that supports a process is not the same with optimising the process. This is where I believe that many businesses have failed, resulting in staff becoming victims of the Moore’s law, and investments in technology not delivering the expected value.
While computers and systems get faster, humans still require about the same amount of time to analyse data and reach conclusions, take decisions, etc. While we can have instantaneous exchange of information, this does not mean that we can process it at the same rate at which we receive it – and most of us have our inboxes to prove it. By introducing new technology without a review of the business processes, there is a chance of improving a step in the process while making the end-to-end processes less effective.

Is there a solution?
Whether the tech improvements are driven by vendors (e.g. upgrades included with your licenses) or by technology refresh programs, an analysis of the business processes supported by this tech is a must. If your business can afford it, having external advice on business process improvement can be very helpful. Management consultants come at varying levels of experience and cost, and doing your research beforehand can save money and ensure effective results.
There is, also, a self-help solution: democratising business process mapping and analysis across the enterprise. You can have a good start by offering staff training in documenting business processes (e.g. BPMN 2.0) and encouraging critical process thinking. This would not replace external expertise; however, it would be an approach beneficial in the long-term. It will not only instil innovation and empower those involved (as change is driven by internal sources rather than being imposed externally), but it will also create a distributed team that has the understanding of your business processes, and can analyse technology impact.

Conclusion
Shiny new tech might not be the solution to your back-office business mid-life crisis. You need to step back and ask “How would I do this if I were to start from scratch?” every now and again. Are your business processes (or their steps) still relevant, particularly in this digital age?

Do you have an opinion about this subject? Don’t just keep it to yourself, share it here:
What 3 back-end, tech-enabled business processes would you change if you were to start your business from scratch, and how?

Less pressure to upgrade to Windows 10, if you’re in the cloud

Here is an article on upgrading business desktops to Windows 10, by  (@steveranger), published on  March 15, 2016 in TechRepublic’s section on Enterprise Software.

My position?

<begin quote>

Anyone who has already migrated to the cloud or Office 365, and who is using Windows 7 or 8, will have less pressure to upgrade to Windows 10, said Florentin Albu, CIO at Rothamsted Research.

“The desktop OS continues to lose its relevance, and this makes it more tricky to justify projects of this nature. Usability and the new generation workforce are significant factors to consider, however these alone won’t be a driver. A company’s desktop hardware upgrade cycle should offer a good opportunity to deploy Windows 10,” he said.

<end quote>

Read the full article here:

http://www.techrepublic.com/article/windows-10-businesses-are-ready-to-upgrade/

 

A practical guide to effective social media publishing

9733284483_e147eda73b_zHere is a practical guide on how to publish more effectively on social media channels. Please note: I am sharing this in case others might find some inspiration; I am not affiliated with any of the companies mentioned in this post; there are other tools that might offer similar functionality – these are just the ones I am using.

This article describes a workflow for individuals. For teams that work together to publish content on social networks there are different plans from Buffer or different tools altogether that might be need to be considered (e.g. Hootsuite).

Tools used:
>>Scheduler:
This is a key element in the workflow and after looking at different tools, I have settled for Buffer which is an online service with client applications for iOS & Android, and which comes also with a plugin for Chrome. Buffer takes your posts and schedules them for publication according to a schedule that you define, which is channel specific (e.g. one for Twitter, another one for LinkedIn). It then provides some analytics for the posts that have been published. Buffer offers a free level of service as well as paid ones, that have richer scheduling options.

>>News reader apps (on mobile device)
The one that I use most of the time is News360 (iOS & Android). In this app one can subscribe to a broad range of news channels. I also use Flipboard (iOS & Android) which has the option of adding RSS feeds.

>>Optimization service:
Timing is very important in order to get better impact with the social media posts. There is quite a bit of information on the Internet advising what are best times to post on LinkedIn, Facebook etc. To optimize the timing of my posts I have used Tweriod. This is a service that analyses your Twitter audience and defines a set of times which are optimal for posting. I have then configured these times in Buffer. Tweriod offers a free analysis as well as paid ones. There are quite a few other similar services available, including one from Buffer.

Putting everything together:
First you need to create an account with Buffer and to give it permission to post on your behalf on different social networks. Then you define the schedules for publication, which are specific to each channel. Once this is set up it is time to add posts to the queue for publication.

In my case I scan the news in the evening or while travelling if I find something worth sharing, I send it to Buffer. From my iPhone this is quite simple – while in a News360 article, press “Share” and Buffer is listed as an option. Select it, and the link to the article with a short description text is shown in Buffer. I choose the channels on which it want it published, add some comments/tags, and the app will queue it for delivery.
The source does not have to be News 360. Most of the news apps have the possibility of sharing an article using “Share” (on iPhone) – and Buffer will be presented as an option. Even if this option is not available, one can create a post manually directly in Buffer, including link, text, images etc.

Image published under Creative Commons by Yoel Ben-Avraham.

A view on 2016 IT budgets

Here is an article on the IT budgets that CIOs control, by  (@steveranger) on October 1, 2015 in ZDNET’s special feature on IT Budgets 2016.

My position?

<begin quote>

Florentin Albu, CIO at Rothamsted Research, said investment will vary by sector: “I believe that certain government-related sectors will have to adjust to budget reductions, and implicitly investment in IT in these areas will not be on the up. At the same time, I believe that the commercial sector shows an increased appetite for investing in IT solutions, and this will be reflected in more generous budgets in 2016.”

Another complication: deciding what is, and what isn’t, part of the IT budget is getting harder, he said.

“IT is used very loosely now, to cover everything from data and information management, to infrastructure, to enterprise systems etcetera, so the line between business budgets and IT budgets will become increasingly blurry,” he noted.

<end quote>

Read the full article here:

http://www.zdnet.com/article/when-it-comes-to-it-budgets-bigger-isnt-always-better/

Article re-published in the French edition of ZDNET:

<begin quote>

Florentin Albu, DSI chez Rothamsted Research, déclare ainsi que l’investissement diffèrera selon le secteur. “Je pense que certains secteurs liés au secteur public devront ajuster leur budget à la baisse, et implicitement l’investissement IT dans ces domaines ne sera pas orienté à la hausse. Dans le même temps, je pense que le secteur privé affiche un appétit croissant en termes d’investissement dans des solutions IT, et cela se traduira pas des budgets 2016 plus généreux.”

Une autre complication : décider de ce qui appartient ou non à un budget IT devient de plus en plus difficile, ajoute-t-il.

“L’IT est utilisée de façon très lâche maintenant, pour couvrir tout, des données à la gestion de l’information, l’infrastructure, en passant par les systèmes d’entreprise, etc., de sorte que la frontière entre les budgets métiers et les budgets informatiques deviendra de plus en plus floue” juge Florentin Albu.

<end quote>

Read the full article here:

http://www.zdnet.fr/actualites/budgets-it-la-taille-n-est-pas-l-essentiel-pour-les-dsi-39830026.htm

The challenge of storing large amounts of data

Here is an article on the challenges of storing large amounts of data, by  (@steveranger) on July 1, 2015 in ZDNET’s special feature on The Evolution of Enterprise Storage.

My position?

<begin quote>

And as Florentin Albu CIO Rothamsted Research, said: “Storing data is relatively cheap once the foundation of storage and backup infrastructure is in place. The headache comes from the side of data management, ensuring the data can be retrieved with a high degree of relevance and – specifically for large data sets – that its accuracy and integrity is maintained during processing.”

<end quote>

Read the full article here:

http://www.zdnet.com/article/battling-the-giant-data-monster/