Robots en pratende ijskasten op CES-beurs in Las Vegas

by wignis admin on January 5, 2017 , No comments

De CES-beurs in Las Vegas opent pas donderdagavond (onze tijd) officieel zijn deuren, maar het mediakorps heeft er inmiddels al twee dagen van persconferentie en informatiesessies op zitten. Wat komt daaruit tevoorschijn? Artificiële intelligentie in je ijskast en je auto, robots in je huiskamer en laptops die licht en krachtig zijn en ook nog een forse batterij hebben.

Van de eerste mediadag, dinsdag, onthielden we vooral de bizarre lancering van de FF91, het zichzelf besturende luxevehikel van Faraday Future. Of dat bedrijf tegen het einde van dit jaar bestaat – laat staan of het ooit een werkende auto kan afleveren – is hoogst onzeker. Tijdens de voorstelling weigerde de FF91 zichzelf te parkeren. Kinderziekten? Bij een auto die je de autowegen en de stadskernen in wilt sturen, kunnen die er maar beter al héél lang uit zijn. De grote belangstelling voor Faraday Future in Las Vegas is dus eigenlijk een beetje ramptoerisme.

Op dag twee van CES waren kleppers als Samsung, LG en Sony aan zet. Op de persconferentie van Samsung waren ook heel wat ramptoeristen opgedaagd. Ze wilden vooral horen, hoe Samsung zich probeert te herpakken na het fiasco met de in brand vliegende Galaxy Note 7 smartphones (die eerst van de markt waren gehaald, dan terug gelanceerd in ‘herstelde’ vorm, en vervolgens weer teruggetrokken). Maar Samsung maakte een heel korte, vage statement over de Note 7 (dat er weldra een rapport over komt) en praatte dan een uur lang over ijskasten, tv’s en laptops. Die maakt het namelijk ook – en een nieuwe smartphone, met name de Galaxy S8, heeft het bedrijf nog niet klaar.

Samsung en LG zongen allebei de lof van hun eigen tv-technologie. Bij Samsung is dat QLED, waarbij de Q voor ‘quantum dot’ staat. Het gaat om LED-schermen die helderder zijn en kleuren beter weergeven. Bij LG houden ze vol dat hun OLED technologie voor het beste beeld zorgt. En LG krijgt daarin nu de steun van Sony, dat voor het eerst een Ultra HD OLED televisie lanceert. Een nogal bijzonder toestel trouwens, want het heeft geen luidsprekers: het scherm zelf produceert geluid door te vibreren. OLED maakt in ieder geval de dunste schermen mogelijk – LG demonstreerde een tv van maar een paar millimeter dik.

Robots!

Robots en pratende ijskasten op CES-beurs in Las Vegas
Zien we binnenkort op luchthavens deze Airbot van LG rondrijden?Foto: AFP

En dan de robots. Dit is het jaar dat de grote elektronicafabrikanten nog snel op de trein springen, die vooral aan het rijden is gebracht door outsider Amazon met zijn (bij ons nog steeds niet verkrijgbare) Echo. De Echo is weliswaar geen echte robot, want hij beweegt niet. Maar wie maalt daarom, als hij er toch in slaagt om de bevelen van zijn meester uit te voeren door, bijvoorbeeld, de lichten aan of uit te zetten, of de nieuwe van Kanye af te spelen?

Een aantal bedrijven tonen hier versies die rondrijden door je huis, zoals Kuri van Mayfield Robotics, of toch minstens wat met hun hoofd bewegen. Dat ziet er leuk uit, maar eigenlijk kunnen ze niet zo veel nuttige taken aan als Alexa, het ‘brein’ van de Echo. En de vraag is nog maar, of ze in alle omstandigheden betrouwbaar blijven werken – dat bleek in het verleden altijd het probleem bij dergelijke huisrobots.

LG is nieuw in deze markt, maar gaat meteen voluit met drie robots: eentje voor thuis, en twee voor heel gespecialiseerd gebruik op luchthavens (om er reizigers te verwelkomen en de vloer schoon te maken). De LG Hub is in wezen een Amazon Echo met ogen. Het robotje kijkt je aan met verschillende uitdrukkingen, maar als je ertegen praat, maakt hij gebruik van de digitale assistent Alexa van Amazon.

Ook de ‘intelligente ijskast’ van LG krijgt er nu, naast zijn beeldscherm met apps, voortaan spraakbesturing bij. Alweer met de hulp van Amazon. Op twee verschillende manieren, zelfs: je kunt via de ijskast een beroep doen op Alexa, en je kunt ontbrekende groenten bestellen bij Amazon (dat in sommige gebieden verse voeding verkoopt).

Alexa overal

Robots en pratende ijskasten op CES-beurs in Las Vegas
De Smart Assistant van Lenovo, geïnspireerd door de Amazon Echo.Foto: Lenovo

Samsung heeft ook een bijna identieke ijskast voorgesteld, maar het zorgt zelf voor de spraakbesturing. Dat kan het bedrijf best aan: het ontwikkelde zelf al een behoorlijke virtuele assistent voor zijn smartphones, en kocht onlangs Viv (het nieuwe bedrijf van de makers van Siri). Maar door zijn wagonnetje aan Amazon vast te haken, maakt LG het zichzelf wel stukken makkelijker.

En LG is lang niet de enige die dat vindt. Lenovo maakte bijvoorbeeld ook zijn versie van de Echo – een vrij exacte kloon dit keer, dezelfde saaie cilindervorm – en voorzien van exact dezelfde Alexa-assistent. We zagen ook nog een smartphone met Alexa, en een set draadloze oortjes. En tv’s van een aantal kleinere merken zoals Westinghouse. En zelfs Samsungs stofzuigrobot kun je aan het werk krijgen via een bevel aan Alexa.

De andere virtuele assistenten, Google Assistant en Microsoft Cortana, werden hier op CES nog amper vermeld. En ook over Siri en HomeKit, Apple’s variant, viel niet veel te vernemen (Apple zelf zakt overigens nooit af naar Las Vegas). Het ziet er dus naar uit dat Alexa de universele virtuele assistent aan het worden is die alle toestellen in huis bedient. Google, Apple en Microsoft hebben heel wat bij te benen. Al is het natuurlijk nog erg vroeg dag – zo is het nog wachten op de eerste Echo-kloon die Nederlands praat.

Slimme auto’s

Robots en pratende ijskasten op CES-beurs in Las Vegas
De Yui-conceptwagen van Toyota Foto: AP

Artificiële Intelligentie staat dus op het punt om onze keukens in te nemen, als we de CES-exposanten mogen geloven. En onze auto’s? Wel, AI is nog niet helemaal klaar om het stuur over te nemen. Maar Toyota toonde woensdag een andere mogelijke toepassing: een auto met een persoonlijkheid. Het ging om een conceptvoertuig, dat dus waarschijnlijk nooit in die vorm de markt bereikt. Maar het idee is dat het intelligente systeem in de auto, Yui genaamd, ‘leert van en groeit met de chauffeur’ (dat soort impressionistische, dromerige taal hoor je dit jaar op CES zeker evenveel als de traditionele opgefokte cyberpraat, en ze zijn allebei precies even weinig informatief).

Laptops

Oh, en was er nog iemand geïnteresseerd in een nieuwe laptop? De Personal Computer speelt al vijf jaar een tweedeplansrol op evenementen als CES, maar het tij is blijkbaar gekeerd. Fabrikanten als Lenovo, Samsung en Asus hadden weinig te vertellen over smartphones (ook wel omdat ze dat opsparen voor het Mobile World Congress in Barcelona eind volgende maand), maar geraakten niet uitgepraat over hoe dun en licht hun nieuwe laptops zijn en – vooral – hoe lang de batterij meegaat.

Dat er zo veel over laptopbatterijen wordt gepraat op CES, is ook wel omdat de nieuwste Macbook Pro van Apple op dat vlak beduidend minder goed scoort dan eerdere modellen. Neem nu de Dell XPS 13 2-in-1, een laptop/tablet hybride die tot 15 uur zou werken op één lading. Hoe dan ook: laptops die flinterdun en licht zijn, een krachtige processor aan boord hebben en toch een hele werkdag (en langer) aan de slag blijven, tien of zelfs vijf jaar geleden hadden we er onze rechterarm voor gegeven. Nu kosten ze soms minder dan een iPhone of Galaxy S7.

Bron:

 (http://www.standaard.be/cnt/dmf20170105_02658546)

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The way you blend defines the slope of performance

by wignis admin on October 20, 2016 , No comments

Data technology is still isolated. Data analytics is limited to the happy few having access to analytical technology and having the competences developed to read and to interpret the resulting reports and charts. As a result the power of data is not being exploited in the field or on the production floor, we are stuck in old habits.

It’s a cliché that the pace of the digitalization is picking up and that it requires every organisation to evolve and to re-evaluate the way they are in business. But it’s also a reality check that should call an end to conservatism. Business performance depends on speed of data interpretation and implementation. Not only by data crunchers in ivory towers but by every single actor in the organisation.

Data should tell understandable stories, accessible from everywhere. Software and hardware are ready. Are you?

Attend my speech on the Belgian Tech show 2016, I’m looking forward exchanging views.

Jurgen De Baerdemaeker, CEO – Wignis

 

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4 Ways Business Intelligence Software Improves Data Analysis

by wignis admin on October 20, 2016 , No comments

Business intelligence software analyzes data and provides users with “actionable” information that can help them make more informed decisions. At least, that’s the simple definition.

If you’ve done any research on the subject, you know that business intelligence also includes the processes of identifying and gathering data (both from external and internal sources), preparing data for analysis, querying data, and creating reports, visualizations, and dashboards that simplify interpretation.

There are several advantages and benefits that business intelligence (BI) can bring to your organization. It can help you gain more insights into your processes and performance, make better decisions about which products to introduce to the market, what to do with mature products, how to increase sales, and how to make employees more productive. Whatever your goal is, BI can help you approach it from a more informed perspective.

Of course, business intelligence software can’t operate without access to the necessary data sources and a big enough sample size to draw conclusions. The learning curve for some of these systems can also be fairly high. But businesses who do successfully implement BI will see significant improvement in their ability to analyze and act upon data. Here’s how:

1. Access to a Real-Time Snapshot of Processes and Performance

There are countless software tools on the market that provide analytical “snapshots” through dashboards and data visualization tools. These tools tend to focus on how your processes and performance match a stated goal.

For instance, users of the Oracle Business Intelligence Foundation Suite select business terms such as “gross revenue,” “region,” and “current month” to see, visualize, and compute data in terms they can understand. This manipulation of data can be easily shared with others or saved for later viewing. You can ask for data analysis and visualization whenever you need it and manipulate the data to gain clarity.

2. By Discovering New Data and Data Sources

You can use discovery tools to help identify sources and gather more data. Guided data discovery tools let you gather data from databases, spreadsheets, applications, and other sources. Bringing automation to the discovery process means you can concentrate more on analysis instead of tedious aggregation and sorting.

Discovery tools may even help you pull data from sources you have not considered before. For example, you may have included sales reports and lead generation programs as your data sources, but failed to consider site data, social media interactions, and other relevant sources. You can avoid this by using a data discovery tool and ensure that you have a more robust set of data to work with.

3. By Focusing on the Right Data Sets

Business intelligence software can help you filter out irrelevant and outdated information — basically, anything that won’t improve or inform your analysis.

For instance, if you want to find out how effective a marketing campaign is for a certain territory by looking at the sales results, you can use business intelligence platform to exclude data for other territories and even exclude sales figures from before the campaign launched. This will help you focus getting what you need without diluting or skewing the results because of sales figures from the wrong time period or the wrong territory.

4. By Improving Data Quality

There are times when line-of-business users (or even data scientists) aren’t sure what types of data are needed for analysis, especially if they’re running an ad-hoc report. In these scenarios, it’s easy to pull in data from multiple sources with less regard for quality and relevance.

You need a business intelligence tool that can make sure that your data is of the highest quality — no duplicates, no missing fields, no invalid entries. This is particularly important in B2B sales and marketing. An appropriate tool should be able to blend data from multiple sources and “prepare” that data to get the best analysis out of it.

Data analysis looks different for every industry and job function, but doing it correctly always requires the same things: data sources and the tools to combine them. Not only does a business intelligence tool help you source the best quality data from a variety of sources, it also helps you combine data and uncover trends/patterns that drive business growth. In the best cases, you’ll discover insights you wouldn’t otherwise think to search for.

(About the author: Michael Gabriel Sumastre is a writer for TechnologyAdvice with more than 11 years of industry experience. He has written more than a thousand articles related to tech and gadgets, cloud computing, IT management, big data, the Internet of Things, SEO, SEM and software solution.)

OCT 13, 2016 6:30am ET
Source: http://www.information-management.com/blogs/big-data-analytics/4-ways-business-intelligence-software-improves-data-analysis-10029989-1.html
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How to Sell Your C-Suite on Advanced Analytics

by wignis admin on October 20, 2016 , No comments

Look at any study surveying trends within the IT industry and you’ll see increased demand for business analytics and intelligence. The Society for Information Management’s 2015 IT Trends Study, for instance, found that “analytics and business intelligence” were the biggest investments IT departments made that year.

But just because businesses are more open to exploring analytics and executives are dropping data science buzzwords in meetings doesn’t mean you don’t still have to sell your C-suite on investing in such technology. Analytics done right with the best tools and a skilled staff can get extremely expensive, and your C-suite isn’t just going to write you a blank check, especially if you can’t communicate how this investment will positively impact the bottom line.

As the co-founder of Soothsayer Analytics, which applies artificial intelligence to build analytics tools for companies, Christopher Dole has experienced firsthand how difficult it can be to sell senior leadership on the ROI of advanced analytics.

Since the founding of his company two years ago, he has continued to hone his pitch on prescriptive analytics, and he’s learned what information C-suite executives look for both before and after the launch of an analytics platform. He listed four pieces of advice for how to not only pitch an analytics program, but also ensure its continued success after its launch.

Do your homework

Prior to even scheduling a meeting with senior leadership, you must first arm yourself with the answers to every question that might get thrown your way.

“I would definitely plan on meeting with any relevant colleagues, peers, or other internal stakeholders about issues and opportunities that they’d like to address,” said Dole. “And once you have some ideas you should also, in advance, meet with your data team and identify any relevant data — preferably data that’s clean and comprehensive — so then when you’re actually in front of the C-suite or board you can start by clearly defining where you’re currently at in the analytics journey, whether it’s the descriptive, diagnostic, predictive, or prescriptive level. If leadership says that your company is already doing analytics, yet they can’t predict what will happen or what can be done to perturb it, then they aren’t really doing analytics, and you should clearly articulate that.”

It’s also important during your research to find examples of other companies’ experience with analytics solutions similar to the ones you’re proposing.

“Talk about the value it created for them,” said Dole. “So, for example, if you’re starting on an analytics initiative and you’re a telecom provider, talk about how a competitor tapped into their stream of customer data to reduce churn and provide millions of dollars per year of savings.” When generating a list of examples, he said, try to focus more on instances that generated revenue or prevented losses as opposed to reduced waste. “Making money is often seen as sexier than saving money.”

Start with the low hanging fruit

If you’re just starting out in the analytics game, it may be tempting to ramp up a state-of-the-art program. But it’s actually more important to get some early wins by capturing the low-hanging fruit.

“If possible, start with a larger problem that can be easily split into sub projects,” said Dole. “For instance, if you decide to focus on customer understanding, start with scientific customer segmentation. That way, once you know who your customers are, you can start to solve other problems that would require that understanding as a foundation anyway, whether it’s identifying opportunities for cross-sell and upsell, predicting and preventing churn, or forecasting customer lifetime value. These quick wins can typically be achieved within 12 weeks.”

Set the proper expectations

It can be incredibly tempting to hype the potential payoff of analytics, but overselling it can result in the C-suite viewing outcomes as failures when they would otherwise be considered wins.

“It may be a few month or two before any snippets of insight can be garnered, so it’s important that they are patient during the process,” said Dole. “A lot of what a data scientist is doing is identifying, collecting and compiling clean data into usable formats, and this can often take up to 60 percent of their time. Make sure they understand that a properly structured analytics project typically provides as much as a 13x ROI. There are many steps to achieving this, and everyone needs to be aligned on the ultimate goal.”

Use the KISS principle

Above all, you should keep it simple stupid. It’s all too easy for a data scientist to get bogged down into technical jargon and respond to questions with arcane answers.

“Use rich visualizations when possible because it’s much easier to understand a graphic than an equation or complex model,” said Dole. “Remove as much of the math and science as possible and just focus on the insights and the value that it’s going to create as well as all of the potential to expand upon it.”

OCT 14, 2016 6:30am ET
Source: http://www.information-management.com/blogs/big-data-analytics/how-to-sell-your-c-suite-on-advanced-analytics-10030002-1.html
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Smart information management = smart business  

by wignis admin on October 20, 2016 , No comments

“Dear Hadrian – we are running low on Chianti in Londinium”.

Back in 122 AD it was much easier to monitor and share information. For one thing, there just wasn’t that much of it. Even managing a city in a far-flung corner of the Roman Empire didn’t require much data collection, transfer or analysis. That was true for centuries, but in the last 100 years things have certainly changed.

As a bit of an amateur historian, I like to keep in mind where we are in the arc of history. Not only do I find it fascinating from a social standpoint, but it also provides perspective for the business and technology challenges that companies face today. Taking a long view helps me stay focused during those times when I am head down in code, making sure that customers are happy and that we are demonstrating thought leadership in the marketplace.

The Data Explosion

As we all know, data is being generated today at a ridiculous rate. A recent study by Forbes revealed that in the past two years alone we have created more data than was generated in the entire history of human civilization. And the rate and pace is increasing exponentially. Driven by the global penetration of technology, research states that by 2020, there will be about 1.7 megabytes of new information created every second for every person on the planet.

The start of this data deluge can be traced back to the earliest days of the Internet – when computers first starting talking to each other, having digital conversations between themselves using ones and zeros. This represented a sea change (to say the least) in how companies managed their process and built successful business models based on this increased level of accessibility to data.

And it is only going to get crazier! The Internet of Things (IoT) continues to evolve and expand with sensors and actuators being incorporated into all sorts of previously unconnected objects. As cars, appliances, clothing, food stuffs, buildings and a zillion other things that we can only imagine all get IP addresses and start joining the network, the amount of data that is going to be generated will be staggering. It will make the information management challenges we are dealing with in 2016 look like the problems faced by the Roman Empire back in the first century.

That’s not especially reassuring to data management professionals who already feel like they’re standing on the beach with a sword trying to hold back the ocean.

Turning endless piles of data into timely, actionable information needs to be top of mind on both business and IT agendas. This also has implications for related business processes as well as the tools used assure strategic information management in the enterprise. This is really what information management is all about.

According to a recent report from Forbes and SAP, data-related problems cost the majority of companies an average of more than $5 million annually, and a fifth of these companies estimated losses in excess of $20 million per year. The report also suggested that the information management conversation now needs to be elevated beyond just IT so that CIOs and their managers are thinking more strategically about the benefits to the lines of business.

The time to focus on information management is now.

My team and I have visibility into a rich landscape of data across our development processes through our marketing and sales efforts, out to our supply chain, and of course the most valuable source: customer information.

While it seemed a bit overwhelming at first, today we look at this cross-functional data as a treasure trove. We proactively mine this information to gain visibility into previously unidentified synergies. We are finding opportunities for business process enhancement and other broader improvements.

Another other exciting development is the wide range of solutions emerging to help with data analysis and rationalization. Several companies are already experimenting with cutting-edge tools and technologies that use artificial intelligence, advanced predictive analytics, and even 3D data visualizations that leverage augmented reality.

And don’t look now, but the army of bots is coming. These self-aware algorithms are going to take the power of information management to an entirely new level. Imagine designing a bot that could go into your supply chain and collect longitudinal data about trending in operational costs based on geographical or seasonal criteria, or even levels of adoption or implementation by customers. The next evolution of information management will use machine learning processes that allow bots to train other bots. It will make today’s information management processes seem downright ancient.

On a personal level, I am very excited about what’s next in information management. There are tremendous opportunities for a next generation of innovative solutions. New models being developed will improve how and where information is collected and continue to drive customer satisfaction and loyalty. All of this is just over the horizon, and we need to be ready for it. And I don’t even have to learn Latin to do it!

(About the author: Brian Starr is senior vice president of technology solutions at Rocket Software, where he leads development of storage, networks, and compliance products. He also acts as vice president, IBM Tivoli Partnership for Rocket. Brian is based on Denver and holds a B.S. degree in Computer Science from Ohio State University.)

Source: http://www.information-management.com/news/big-data-analytics/smart-information-management-10030025-1.html

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Digital Transformation: Saving Money In The Construction Industry

by wignis admin on October 10, 2016 , No comments

The construction industry is changing as technology and resources grow. The industrial construction market has already seen numerous new business models that transform how every component of the construction industry works together.

One key change is in the way construction companies operate. Today’s business model involves fewer people and a more streamlined, cost-effective supply chain. This leads to higher profits and happier customers—all due to digital transformation.

Understanding the challenges of the construction industry

Numerous limitations in the construction industry relate directly to its supply chain. Many individuals are involved in the average construction project. Individual contractors may come from multiple companies. Supplies and raw materials come from numerous sources. And companies must find a way to bring together these parties to create a cohesive, completed project. That is not easy to do.

According to Sikich, one of the biggest problems impacting today’s construction industry is cost overruns. Even the largest construction contractors face escalating costs related to mismanagement, lack of planning, and raw material costs.

The supply chain within the construction industry is also quite complex. Unlike most other industries, where product and raw material remains the same, every construction project differs. The supply chain is constantly changing, as Designing Buildings discusses. The outcome is more cost, more overseeing of the details, and more risk to the business.

Within the construction industry, companies must take steps to minimize these situations. They add risk to every project. They also lead to lower profit margins and fewer satisfied customers.

Digital transformation means improved opportunities

Changes to the construction industry through added technology is significantly changing the way companies operate. For example, project management software for construction companies is working to streamline every facet of the supply chain. It also ensures every individual contractor is working together toward a better outcome.

Verticalization and new contract models are at the heart of this. Civil construction projects are rapidly changing. Company leaders are working toward verticalization, in which more of the supply chain is handled in-house. By performing more tasks, companies reduce risk while also managing the process in a more streamlined and efficient manner.

As Financial Times reports, increasing stagnation in productivity in the U.S. construction industry has become a costly problem. This problem stems from the complex processes of the supply chain. The design to bid to delivery method, which is common, is difficult to manage. It also limits information-sharing to prevent litigation matters.

However, integrated project delivery contracts can minimize this challenge. The best construction project management software makes such integration much easier, improving interactions between parties and enabling what is best for the project to come through. There is less focus on individual companies protecting themselves.

A secondary benefit to this type of verticalization is in the evaluation of the project. Individual participants can be evaluated based on the outcome of the entire project. As a result, contractors can reduce their overall project risk. This may also help improve relationships and give the customer a better perception of the finished project and the risk involved.

How simplification occurs in the construction industry

When businesses incorporate technology, these benefits become possible. Integrated project delivery contracts are one component of digital connectivity in the construction industry. Collaboration technology is also widely beneficial. It aids every facet of a project, from construction schedule development to design work. Creating an open opportunity to communicate enable new opportunities and better outcomes.

Technology also allows for true verticalization. Integration of projects can expand more fully and ultimately empower businesses to achieve more with less, simplifying the supply chain. This in turn helps companies reduce costs. Supply chains become more reliable because they can be controlled. A single entity is then controlling the entire project. From design to prefabrication to construction, the process is managed more simply.

Implementing technology: a solution the construction industry needs

Imagine cloud-based construction management. Consider the benefits of having fewer people to interact with during the construction project. With technology, verticalization and supply chain simplification becomes valuable and easily accessible.

A simpler view of the benefits technology can offer is this: Technology allows for a brand-new business model to become available to the construction industry. Now, construction companies can manage the entire project in-house. Contractors perform with each other more effectively because improved communication opportunities enable them to work together in a more streamlined and less litigation-focused manner. This helps them retain their workforce with improved productivity.

All of this can occur by investing in software designed specifically for supply chain simplification in the construction industry. It is a powerful yet very simplistic upgrade that changes the way companies work while improving outcomes and profits. Simply put, it enables verticalization through new business models and helps construction companies exceed their goals. Even small businesses can reap these rewards with integrated technology. It is within their reach and offers a significant ROI.

Source: http://www.digitalistmag.com/digital-supply-networks/2016/10/04/digital-transformation-saving-money-in-construction-industry-04529614

Author: Dustin Anderson

Date: 4/10/2016


Dustin Anderson

About Dustin Anderson

Dustin Anderson is a Global Industry Solutions Director for the Engineering, Construction, & Operations Industry Business Unit at SAP representing North America and Latin America. Prior to this role, Dustin worked at an SAP partner company implementing SAP Solutions. Dustin helps clients deliver value through SAP solutions.

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Data heeft geen waarde als je het niet gebruikt

by wignis admin on October 7, 2016 , No comments

Data heeft geen waarde als je het niet gebruikt

Samenvatting: Net als een lidmaatschap van de sportschool heeft data geen waarde als je het niet gebruikt.

Jij kunt die persoon zijn. Degene die drie keer per week naar de sportschool gaat, aan yoga doet, nog competitie speelt in een bepaalde sport. Maar diegene heeft ook voldoende tijd voor familie en vrienden. Iemand die een ander niveau van energie heeft, een ander niveau van leven. Je kunt net als zo iemand zijn, net zo fit en energiek, maar het kan ook zo zijn dat het lidmaatschap van de sportschool van jouw bankrekening wordt afgeschreven elke maand en alleen de eigenaar van de sportschool heeft het voordeel ervan.

Data en data analytics is zoals de sportschool en het aantal keren dat je sport. Hoe meer je het gebruikt, hoe meer je het toepast in je dagelijkse werk, hoe meer je eruit haalt en hoe meer het tot de kern hoort van wie je bent. De waarde van data begint bij de eerste keer dat je het gebruikt, maar neemt exponentieel toe als je het vaker gaat gebruiken. Hoe meer je dus met data aan de slag gaat, hoe beter het resultaat.

Vier hoofdgroepen van data in organisaties

Wanneer we kijken naar alle vormen van data in organisaties, dan kunnen we ze indelen in 4 hoofdgroepen. We belichten deze kort op weg naar een gezonder bedrijf!

  1. Efficientie

Kijk naar de verhouding tussen prijs en prestatie om jouw kosten van data management voor backoffice en basis operationele systemen te verlagen.

Beoordeel of dit efficiënter kan door bijvoorbeeld in de cloud te gaan. Neem backoffice systemen zoals ERP, boekhouding/facturering, marketingsystemen onder de loep en kijk of het efficiënter kan. Vaak kan hierin met minder administratielast, minder ontwikkeling en serverkosten een behoorlijke besparing gerealiseerd worden.

Maar je hebt het wel nodig, net als in de sportschool, waar je ook een bepaald minimumniveau nodig hebt.

  1. Modernisering

Versnel jouw digitale transformatie door gebruik te maken van open source en cloud innovatie. Je hebt toegang tot diverse nieuwe databronnen binnen en buiten jouw organisatie, en je wilt deze gegevens en inhoud gebruiken om inzicht te krijgen in hoe jouw bedrijf het doet en wat jouw bedrijf met deze nieuwe gegevensbronnen kan. Denk aan als je deel gaat nemen aan nieuwe soorten fitnesslessen. Je bent onbekend, hebt wel een basisconditie en gaat deze nieuwe vorm ontdekken (met de nodige spierpijn).

Jouw belangrijkste taak is om de data architectuur, data catalogus en beleid op data naar het volgende niveau te brengen, in termen van beschikbaarheid en toegankelijkheid van data, om zodoende met die informatie naar de business te kijken.

  1. Democratisering

Zorg voor iedere medewerker toegang krijgt tot gegevens om hier zakelijk voordeel mee te kunnen doen, vanuit zichzelf. Zo kan iedereen voor zichzelf betere beslissingen nemen, effectieve acties opzetten en resultaten verbeteren. Net als in een sportteam kan zo iedereen de voordelen van meer training ervaren.

Welke systemen of delen van het bedrijf zouden kunnen profiteren van real-time data en beslissingen ook van onderaf? Kunnen we ze gemakkelijk bij elkaar brengen, vertrouwen dat ze goed omgaan met de data en beleid hierop vaststellen?

Jouw belangrijkste taak hier om jezelf en een groeiend team van data-hongerige professionals te leren samen te kijken naar de data en van hieruit nieuwe inzichten creeren voor de business.

  1. Monetisatie/commercialisering

Hierin ben je volledig data-gedreven en data-gestuurd geworden als bedrijf. Je zoekt en vind nieuwe kansen en businessmodellen, die gebaseerd zijn op data en data science, maar die wel inspelen op de kern van jouw bestaande organisatie en product. Je bent fit en je focus verschuift van sporten in de sportschool naar profiteren van al dat voorbereidende werk.

Organisaties die hier rekening mee houden zien een explosieve groei in de waarde van data omdat het verschuift van een ‘bijproduct’ naar de kern van het bedrijf.

Gebruik data zoals de sportschool

Het is makkelijk. Hoe fitter je wordt, hoe meer je doet en hoe meer mogelijk is. Hoe meer je werkt met data in jouw organisatie, hoe beter het resultaat. Het is tijd voor jouw organisatie om data aan het werk te krijgen voor een gezondere business die klaar is voor de toekomst.

Elk bedrijf moet zich realiseren dat zij een data analytics bedrijf zijn, vroeg of laat. Waar u ook wilt beginnen, Waar bent u in uw reis om de volledige waarde van de gegevens te exploiteren? Welke gegevens ga je ophalen om aan te gaan werken?

De kern van dit blog is geschreven door Harriet Fryman van IBM Analytics

Lees meer over : business, data analytics, IBM, ibmconnect, partnerinfo

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The 4 Industries That Can Most Benefit from Technology Innovation

by wignis admin on September 21, 2016 , No comments

Can I just put this out there? Everyone can benefit from technology innovation. Faster, more innovative technology is going to make your employees more efficient and speed up business and customer service delivery. It’s not debatable, it’s an absolute fact. With faster, more efficient technology, the job gets done more efficiently as well. That said, some industries have more to lose from outdated technology than others. Those that aren’t updating their workstations will suffer from decreased employee efficiency and maybe higher turnover as a result, but there are a few industries that can benefit even more than professional services from innovative technology. Here are just a few of them:

  1. Manufacturing
    If production stops, your ability to make money is halted as well. For manufacturers, their designers have to be able to use software and their production team needs to be working constantly to deliver products to their suppliers and customers. Technology is important, but how important is innovating that technology? It can mean the difference between delivering more units and increasing to your sales goals this year. For example, if a widget manufacturer produces 500 units in an hour and is able to get a piece of software, faster machines or equipment that allows them to double that production – they’re effectively doubling their revenue. Of course, this is a very basic example, but seconds are important in the manufacturing industry, so make sure that your technology isn’t wasting a moment.
  2. Construction
    Efficiency on the job site is critical for construction companies to deliver on the right timeline and budget. The right technology can not only help construction organizations communicate efficiently from administrative office to job site, but also speeding up the bidding and planning process. BYOD, the cloud and a few of the right construction technology applications can work together to set an innovative construction company apart from its competition.
  3. Medical
    Technology innovation for the medical industry is a must, particularly because HIPAA is a regulating body that requires certain minimum IT security and machine standards. But beyond that, innovative technology means happier patients, less time on the phone and significantly less time in the waiting room and processing paperwork. Whether you’re integrating mobile devices in the exam room or using apps to make your exams more efficient and patient-friendly, there are so many things that can be done to innovate your technology in this industry and set yourself apart from your competition.
  4. Hospitality
    From the hotel industry to restaurants and beyond – your technology is going to ensure that your customers have the best possible experience. That means easy check-ins at your hotels and more efficient use of your workstations across the board. The buzzword this year has been customer experience, and nowhere is that more important than in the hospitality industry, where reviews can make or break your business. What does innovation look like here? Mobile ordering can make a server’s life more efficient and eliminate mistakes since orders are taken and put in at the same time. Automated check-in for hotels and resorts with an application for spa bookings and to view the status of their reservation are just a few ways that technology innovation is changing the game for this industry.

There are two options – innovate or remain stagnant in your technology. While you’re considering it, more and more of your competitors are implementing improved systems and applications that can set them apart and make their employees and customers’ lives easier. While these industries, in particular, can definitely benefit from innovative technology, the fact is that it’s not limited to these few. Innovating your technology provides a boost in efficiency that seriously contributes to your bottom line, the experience of your customers and your employee satisfaction.

What are you waiting for? Don’t you think it’s time you did something about your technology situation?

Authored by: Kyle Cebull

“My 12 years of experience in information technology strategy and management allow me to leverage objectivity when working with business owners, executives, and senior management to establish budgets, assess risk, create a plan of attack and execute appropriately for systematic implementation and management.”

Source: https://goo.gl/SGXzat

 

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