Category Archives: Big Data

Infographic: Debugging Applications, the Silent Resource Drain

Infographic: Debugging Applications, the Silent Resource Drain

Debugging Applications

The way most companies today are boosting competitiveness and relevance is by focusing on being as nimble as possible. Amazon pushes new code countless times a day, so do Google, Facebook, Uber and many others. Forward looking software developer leaders understand that to deliver innovation to customers they must effectively manage entire SaaS application lifecycles across a diverse range of infrastructures, a process that begins with identifying and eliminating bugs as early as possible so that teams can focus on adding end-user value.

Testing is a crucial part of an application’s lifecycle, but it’s inherently challenging to ensure that tests done in development will mirror what happens in production. A recent survey from ClusterHQ uncovered that 60% of developer team members spend up to half their day debugging errors, instead of developing new features—proving that debugging is a huge resource drain for DevOps team.

Why are bugs in production so commonplace?

A deeper look are the challenges around application testing showed that recreating production environments was cited as the leading cause of bugs appearing in production. This challenge was followed closely by interdependence on external systems that makes integration testing cumbersome, which leads into the third most cited challenge: testing against unrealistic data. At present, data is difficult to move between all the places that it is needed, including in test infrastructure. As a result, unrealistic, mock data sets are often used to test applications. However, these unrealistic data sets cannot prepare applications for all real world variables, and thus cause serious, expensive, and time consuming issues down the line.

The infographic below outlines additional key findings.

Debugging Applications

By Glenn Blake

Cisco Discusses the Resilience of Cloud Strategy

Cisco Discusses the Resilience of Cloud Strategy

Cloud Strategy

With businesses and consumers relying on the public cloud more than ever, it’s important that market transparency and resilience is improved. Enrico Fuiano, Senior Solutions Marketing Manager, Cisco Cloud Marketing, takes a look at the resilience of cloud strategy noting that IT organizations have adopted cloud primarily in two distinct ways: some standardize cloud infrastructure to improve data center efficiencies, thus reducing total number of suppliers across their entire IT value chain; others instead implement a ‘best of breed’ tactic, applying complex and heterogeneous IT environments which allow for the optimization of IT infrastructures related to specific applications required. The question Fuiano asks is, as cloud service adoption increases, will the range of cloud providers being utilized by IT decision makers increase or decrease? The study sponsored by Cisco and completed by IDC highlights some significant results.

Multiple Cloud Providers

Sebastian Stadil CEOSuggests Scalr CEO Sebastian Stadil, “In most enterprises, multi-cloud infrastructure emerges as a result of organic adoption. One business unit, department or team uses AWS and another uses Azure and there you go: a multi-cloud organization...” But the IDC findings further note that mature organizations demand a diverse choice from multiple cloud providers based on policies, location, and governance principles. Moreover, those organizations best able to obtain the most value from cloud providers are increasing their enthusiasm for a diverse range of cloud providers.

Speaking exclusively with CloudTweaks, Fuiano states, “We continue to witness how sophisticated enterprise class environments rely on the use of multiple cloud providers to achieve their business objectives. The study that IDC conducted confirms that organizations prefer to put in place inherently resilient cloud strategies. This allows them to better mitigate risks and optimize their choice of cloud providers based on their specific IT service requirements...”

Facing the Challenges

Unfortunately, multi-cloud environments often increase complexity and managing a convoluted portfolio of cloud-based applications can be a challenge. Suggests Fuiano, Cisco CloudCenter application-centric technology assists multi-cloud users by allowing them to:

  • Build cloud-independent application profiles quickly and easily that define requirements for deployment and management of an entire application stack.
  • Deploy the application profile as well as related components and data to any cloud environment or data center with just one click.
  • Apply an extensive range of application lifecycle actions to set policies for in-place scaling, assist with cross-environment bursting or high availability and disaster recovery, and stop deployment.

Because cloud administration and governance are so important, it’s necessary for administrators to be able to centrally manage cloud accounts, regulate costs, and provide data regarding use. Says Fuiano, “IT organizations understand that their role has changed. They have to act as ‘brokers of IT services’ to deliver IT at a faster pace. The combination of Cisco CloudCenter with our Cloud Professional Services portfolio can enable our customers to make that transition. The key is to deliver application-centric services while maintaining central governance, security, and control…

For businesses utilizing the cloud efficiently, benefiting from a choice of contractual terms and transparent pricing as well as the assortment of tools and applications available, multi-cloud infrastructures are likely to dominate. However, the recent IDC global cloud study indicates that while cloud adoption has indeed achieved mainstream levels this year, with 68% of surveyed organizations already using either private or public cloud for more than a couple of small applications, less than 3% of organizations have implemented optimized cloud strategies. We’ve perhaps still a way to go before proficient multi-cloud strategies are the main order of the day, but top service providers are already gearing up to ensures organizations have the support they need when it’s required.

By Jennifer Klostermann

How Big Data Is Helping In Customer Service Environment

How Big Data Is Helping In Customer Service Environment

Customer Service Environment

Do you remember the last time you spoke to an agent over the phone seeking some help? Did you get the solution immediately or did it take some time to reach a convincing answer or solution?

The answers to these questions decide how intelligently your customer support system has been designed to face such challenges of the customer service and how effectively the customer data is being used with total focus on the customers.

The specificity in the service that is sought by an individual customer is a vital factor to maintain a good rapport of the customer service. The ability to answer such specific needs comes with a sheer understanding of the customer behavior. The existence of data is unavoidable and its importance is immense. The idea for good customer service lies in data analysis. It always helps to keep an innovative approach towards making good use of the customer data and bring corresponding changes, accordingly.

Customer data is the factor which helps to improve your services substantially and when data analysis gets involved, the behavior of the customers become more predictable. And predictability helps to manage things better. The productive insights coming from data, help to get expected results, provided the unstructured data of your company is given due worth and is utilized well.

Let’s look at the scenario in more detail and understand that how data plays a crucial role in the customer service environment.

Giving Shape To The Bulk Of Data

Data comes involuntarily on every step taken in business as well as by customer activity. This bulk of unstructured data gives many cues for innovations in the contemporary business environment. But you have to acquire the right tools to analyze this bulk of data and get meaningful results out of it. Today we have tools that help us analyze the unstructured data towards meaningful deductions. Most of the businesses are dependent on such data for better results.

So application of analytics helps you to understand patterns and trends that customers are looking for in the customer support environment.

Furthermore, intelligent data analysis also leads to powerful customer insights. A seamless customer experience is a matter of understanding the customers well and prepare a plan to respond with them effectively. The accumulated data supports and structures this plan.

Data And The CRM Strategies

A 2014 Gartner report suggested that 50% of CRM programs failed to meet client expectations. The same is true in old time as well. A company uses CRM tools to make a point that every aspect of good customer service should be taken into consideration for the best possible strategies. It also helps in taking the most efficient steps ahead of the benefits of the company.

The proliferation of the software industry and start-ups led many companies towards instant results. So most of the companies integrated CRM tools in their system without knowing that it was not on par, as the insights from data didn’t show up aptly and didn’t help to bring any meaningful changes. The supreme reason behind it was, they didn’t use the customer data effectively.

With the arrival of cloud technology, call center software came into existence and virtual call centers took shape. With specific details related to the customers that can be easily integrated into the company’s CRM, one can find an immediate solution to help the customers with much better customer support. Because the data is already there, the best one can do is, use it.

Customers differ in their interests and preferences for the same reason, it is necessary to give individual attention to the customers. While the customers avail the services they give many cues regarding, how efficient the services are and more. A data driven customer relationship management becomes crucial to maintain a sound customer support.

Individual Customer Preferences

Most of the companies have a huge bulk of unstructured data , it’s their ability to reap the benefits out of it, which decides their efficiency for purposeful customer engagement. The data that is collected to help know the customers individually and provides a medium to the service provider to restructure and redesign the services to its best potential.

Customer Service Environment

The best possible way to keep the performance of customer service high, depends on how effectively the customer choices and preferences are taken care of, by giving attention to the minute details related to the customers. By keeping an eye on the individual customers with the help of complex analysis of data, the scenario becomes more and more customer centric.

Virtual call centers have gradually turned out to be very meaningful in this stake as they work on a Call center software that uses meaningful deduction out of the data.

If the agent-customer conversation has more specific details related to the individual customers then customer specific points are brought in during the conversation that eventually lead to favorable results like sales acceleration and a better customer retention.

Data Is The Base Of Today’s Customer Service

The customer related data is the base of today’s customer service environment and because of the same reason the best ideas of the customer benefits are the ones that totally depend on the results of data that give forward-looking insights about customer service.

Virtual call center tools use the customer related data and keep the deductions applicable for the best possible solution, that too without much wastage of time. Nowadays the virtual call centers using their data effectively have tremendous competitive advantage over others who are lagging behind in the usage of data.

On a Final Note

Data is crucial and so is the way to handle it. Cloud technology is one of the best ways that has shown relevance to use this data productively. Cloud is undoubtedly the best solution for usage and retrieval of data.

Innovation depends on the results that one can rely on and these results totally depend on effective usage of data. In this current scenario, it is not affordable to miss out on the importance of big data that has great potential to face contemporary challenges, successfully.

By Kirti Khanna

Expect Open Source Security to Become a Major Focus in 2017

Expect Open Source Security to Become a Major Focus in 2017

Open Source Security

There is no doubt about it: We are living in the middle of the Digital Age.

But we didn’t get here alone. Thousands of people from all over the world have come together to develop programs, apps and software to get us where we are now. In order to maintain the level of technology that we have become accustomed to, we need the help of coders and programmers from all over to help solve problems and make changes.

When the coding community is invited to manipulate the source code of a program, it is known as open source. But what does open source really mean for your software — and your security?

Open Source vs. Closed Source

Open Source Security

(Infographic Source: Kinvey)

Behind each program you are running, there is a set of codes that allow your computers, cellphones or tablets to read. For large companies, this code is heavily protected. When a company does not allow customers or users to manipulate the code of the program, this is known as closed source.

A company may choose to keep their code secret in an effort to protect their ideas or property. They may fear a competitor stealing their code to make a similar program, or they may not want to lose control of how the program or app runs. But in keeping the code a secret, customers and users are unable to understand how it works or make changes for themselves.

On the other hand, an open source code is available for users, coders and programmers to manipulate as they see fit. For example, Vid.ly is an open source video platform and an excellent example of the benefits one offers. Another popular example is GitHub, an open source community where developers and coding fanatics can follow or create projects.

Using an open source code rather than a closed source code gives users the opportunity to solve problems for themselves or recruit coders to make necessary changes for them. Open source code also gives users the opportunity to see and understand how the program works.

But open source codes can also bring up questions of security.

Why Is Open Source Security Important?

When code is open source, anyone can make changes or view the code. There are not restrictions on who can access that information, make adjustments or pull details.

Unfortunately, this means that hackers also have access to open source codes. Does this mean that open source is less safe than closed source? Not necessarily.

Having a source code open to the public means that many individuals can look for potential areas where hackers may attack. When multiple professionals can make changes when they are needed, codes are updated more frequently. Users can also browse through the code to determine its safety and security, something they are unable to do with closed code.

As we move into 2017, open source codes are only going to become more popular. This also means that security for open source codes will continue to grow.

What Open Source Security May Look Like in 2017

While open source code is no stranger to the world of database management systems, 2017 will be the year that it truly takes off. As more companies adopt open source codes as the standard, there will also be a new focus on how to keep that code safe from hackers.

As the demand for open source code grows in 2017, so will the demand for open source security. With more companies using open source code to run their programs, it can be expected that 2017 will see an increase of attacks on open source codes. To combat this and protect users, open source security will increase as well.

With the right security measures, there’s no reason to believe that open source code is less safe than closed source. By allowing teams of coders from all over the world to find potential problems and recommend solutions, open source code may actually be safer than closed source. In 2017, we will continue to see that level of security increase as more companies focus on protecting their open source codes.

By Kayla Matthews

Amazon Re:Invent 2016 – Virtual Machines and Cloud Storage Services

Amazon Re:Invent 2016 – Virtual Machines and Cloud Storage Services

Amazon Re:Invent

Amazon Web Service’s (AWS) Re:Invent conference in Las Vegas, Nevada, kicked off yesterday (Tuesday 29/11/2016), and speculation has been rife over what to expect from the 4 day AWS event. Ahead of the event, Amazon slashed the prices of their two biggest products, virtual machines and cloud storage services – potentially to make their product more appealing to customers at the conference, or to generate publicity in anticipation.

cloud-amazon-snowball

This year’s conference is a full day longer and a full day “Mini Con” of “technical deep dives” into topics including IoT, Serverless Computing, Databases, and Containers, as well as the opportunity for one-on-one engagements with AWS specialists.

Amazon has declared that that: “We have designed re:Invent 2016 to give you increased opportunities to connect, engage, and learn about AWS solutions”

Re:Invent has been designed for networking, education, and ultimately to market new advances and additions to AWS. It has been predicted that this years conference will be focusing on the company’s Internet of Things (IoT) strategy, building on the releases and developments from last year. Purportedly, partners are interested in hearing about the plans to expand its broader channel and enhance existing offerings of their cloud based programs and services.

Enterprise Market

Amazon Re:Invent

Eric Rockwell of CentrexIT commented that: “I want to hear more about the future of the AWS channel program, how they’ll be tailoring that in the next two to three years.”

Citibank has predicted that Amazon are likely to announce more products for the enterprise market, in an attempt to compete with Microsoft. AWS has, in the past few years, partnered successfully with Salesforce and VMware, expanding their reach into software-as-a-service and corporate data centers. Salesforce and VMware, are both set to take part in Re:Invent sessions, along with a number of other software vendors such as Adobe Systems, Autodesk, and Intuit.

Richard Pritchard, Citibank analyst, expects AWS to attempt to keep pace with Microsoft and IBM: “We expect to hear AWS partnering more to keep up with Microsoft and IBM (IBM) in hybrid cloud deployment…”

He went onto mention the crucial role AWS plays in a lot of custom app development for it’s clients, regardless of their lagging behind in cloud infrastructure – a quality which may help to ensure their survival as a cloud computing platform.

We note that AWS as a development platform lags its position in infrastructure, but we see many of these customers presenting on how AWS is becoming key to its custom app development effort, replacing the likes of IBM, Microsoft and Oracle (ORCL).”

AWS executives are also expected to discuss how they will make the machine learning technology that powers Amazon.com’s virtual assistant, Alexa, available to more developers. AWS are also lagging behind Microsoft and Google in providing machine learning tools to their clients and developers.

There could also be word on Elastic Compute Cloud (EC2), a more flexible option for Amazon’s basic cloud computing service that would mimic the Google Custom Machine Types announced early this year. At the moment customers have to choose from options that Amazon provide, with no room for modification.

Day 1

Tuesday kicked off with AWS is giving partners who build a deep understanding of AWS “competencies”, which dictate partners in its Amazon Partner Network as experts in a specific area, like IoT or financial services. CEO Andy Jassy addressed partners on Tuesday stating that AWS will be doing “direct business to [its] partners who are committed and who really understand the platform” – so these partners are expected to have more flexibility with the AWS platform.

AWS announced new partnerships with VMware, Swift Stack – the Cloud Sync service; Tableau – the software-as-a-service analytics platform; and Rackspace – the cloud computing firm – who have been awarded status as a “premier partner” – the highest designation in the Amazon Partners Network.

Capital One have also announced that that it has selected AWS as its predominant cloud infrastructure provider – using AWS to shrink their data centres by more than half over the next few years.

Those were the main announcements and revelations from day 1, but there is likely to be many more to follow in the coming days. Watch out for our summary at the end of the week to catch a summary of the whole week’s action!

By Josh Hamilton

McAfee Labs Security Threat Predictions: Dronejackings and Hacktivism

McAfee Labs Security Threat Predictions: Dronejackings and Hacktivism

Security Threats Predictions

The McAfee Labs 2017 Security Threats Predictions Report has just been released by Intel Security, taking a look at predictions for 2017 along with the future of cloud and Internet of Things (IoT) security. Recognizing 14 threat trends to be wary of in 2017 along with the six most challenging obstacles confronting the cyber security industry, Intel Security further delves into cloud and IoT threats discerned from the consideration of 31 Intel Security thought leader opinions. Says Vincent Weafer, vice president of Intel Security’s McAfee Labs:

vincent-bwTo change the rules of the game between attackers and defenders, we need to neutralize our adversaries’ greatest advantages. As a new defensive technique is developed, its effectiveness increases until attackers are compelled to develop countermeasures to evade it. To overcome the designs of our adversaries, we need to go beyond understanding the threat landscape to changing the defender-attacker dynamics in six key areas: information asymmetry, making attacks more expensive, improving visibility, better identifying exploitation of legitimacy, improving protection for decentralized data, and detecting and protecting in agentless environments.”

Identifying Six Critical Industry Challenges

Though always striving to stay ahead of adversaries and identify vulnerabilities, cyber security experts are faced with new challenges daily with both cloud and IoT adding to the load. In a never-ending cycle, cyber-attacks and defenses advance consistently; enhancements to security are implemented and attackers test circumvention tactics resulting in the need for countermeasures to heighten the security protocol. Improving the lifecycle of threat defense effectiveness is essential. McAfee Labs identifies six significant security challenges and provides examples of some industry action taken to address them:

  • Reduce Asymmetry of Information

Because attackers are able to test their latest moves freely, it’s far easier to gain information about defenses than about attacks. In order to improve security, it becomes vital to prevent attackers performing such tests. Sharing information about attacks is one of the first and most critical steps in this process.

  • Make Attacks More Expensive and Less Profitable

Perhaps an obvious solution, reducing the profit of attacks is one of the quickest methods of diminishing the motivation behind them. Reducing success rates of attacks and raising capture rates helps change the economics of attacks.

  • Improve Visibility

Security visibility is a serious challenge in most organizations with cloud, IoT and bring-your-own-device programs further reducing vital transparency. Informed risk management can help bridge this gap.

  • Identify Exploitation of Legitimacy

Typically stolen credentials are used to target systems and exploit data making traditional methods of detecting illicit activity ineffective. Currently, behavioral analytics is the only resistance to this complication, a tool still in its infancy.

  • Protect Decentralized Data

With data moving to the cloud, held on personal devices, and shared with partners, vulnerabilities to accidental leaks as well as targeted attacks increase. Encryption is one solution, but it’s important to be able to protect data along the chain of use.

  • Detect and Protect without Agents

With IoT devices allowing for little agent-based security, it’s essential we find solutions such as hardware-level security, memory protection, and trusted execution environments.

Predictions for Internet of Things & Cloud Security

Security Threats Predictions

With predictions around IoT and cloud security for the next two to four years covering economic, policy, threat, and regional trends, McAfee Labs expects cloud service providers, device manufacturers, and security vendors to respond accordingly. As trust in the cloud increases, we’re likely to see more sensitive data and processes in this space, creating greater motivation for cloud attacks. However, McAfee Labs believes most businesses will keep core data in private data centers, not necessarily the smart move as public clouds are arguably more secure than private clouds. With regards to IoT, it’s noted that though many vulnerabilities exist, currently such attacks don’t offer much value. It’s likely that ransomware will be the primary threat though hacktivism is one of the biggest concerns. Unsurprisingly, it’s forecast that IoT will significantly reduce consumer privacy.

Along with more detailed and extensive coverage of Internet of Things and cloud security, the McAfee Labs 2017 Threats Predictions Report forecasts several threat assessments for 2017, including a likely decline in Windows vulnerability exploits, the use of ‘dronejackings’ for criminal purposes, hacktivism exposing privacy issues, and the growth of cyber espionage.

Download the full report for the thorough investigation of McAfee Lab’s findings.

By Jennifer Klostermann

IIA Report Infographic: Mobile Shopping Statistics

IIA Report Infographic: Mobile Shopping Statistics

Mobile Shopping Statistics

The internet has been blowing up in recent years and offering people things they never thought possible. Not only that, but a new report from the Internet Innovation Alliance says mobile shopping can save you a ton of money too.

In fact, the report has indicated that the average American family can save more than $11,000 a year on household spending thanks to the internet. This is due to the fact that there are many significant opportunities to save money on the internet, especially around the holidays. Certified financial planner Nicholas Delgado says “Getting caught up in the holiday spirit doesn’t mean you have to overspend on Thanksgiving, Christmas and New Year’s Eve, to name a few,” said Delgado. “Thankfully, broadband delivers a significant return on investment with valuable opportunities for deal comparison, group-buying, and online-only discounts that make it easier to stick to a budget…

Since 2010, the IIA has recorded savings that are internet-enabled in a number of different categories. Their data comes from the annual Consumer Expenditure Survey from the Bureau of Labor and Statistics. The possible savings have skyrocketed from around $7000 in 2010, to well over $11,000 this year. You can find big savings on anything from clothing, to apparel, to health insurance and more.

The biggest savings are in the areas of entertainment, housing and automotive. The report found that you can save upwards of $3,000 in each of these categories.  (Included is an infographic by the IIA providing a further breakdown)

Mobile Shopping Statistics

Compared to IIA’s financial analysis last year, the greatest increases in savings opportunities emerged in Housing (23.50% in 2015, compared to 16.53% in 2014) and News (54.05% in 2015, compared to 39.29% in 2014). However, the percentage of savings on food (12.65% in 2015, compared to 25.68% in 2014), apparel (44.84% in 2015, compared to 62.55% in 2014) and gasoline (2.05% in 2015, compared to 12.28% in 2014) dipped. Of note, in 2015 spending on gasoline decreased by 15.32%, down from $2,468.00 the year prior.

Holiday season is spending season — from buying presents to traveling for vacations and family visits,” commented IIA Co-Chairman Jamal Simmons. “Luckily, savvy use of broadband tools can help families get more for their money.” Of the 180 million U.S. adults expecting to shop Black Friday week through Cyber Monday this year, 114 million plan to shop online and 70 percent will use mobile devices, according to a new Consumer Technology Association (CTA) survey.

Simmons added, “Encouraging investment in 5G technology that will extend broadband to all Americans, from urban centers to rural areas, should be a top priority for policymakers...”

These are impressive numbers and are surely to only keep rising in the coming years as more people flock to using the internet to save money.

Kale Havervold

Visual Data Analytics Helps To Illustrate The Big Picture

Visual Data Analytics Helps To Illustrate The Big Picture

Visual Data Analytics

We’re consistently hearing how valuable data is today, how important it is to the success of every organization, along with the stats of the exponentially-increasing amounts and sources of data now available. But what most find when actually trying to put this data to active use is a case of easier said than done. SAP BusinessObjects Lumira, however, makes it possible to pull data from a variety of sources, examine it all in one user-friendly environment, and output reports quickly in engaging and visual ways – and perhaps most notably, without a degree in data science. With direct connectivity to SAP BusinessObjects or SAP Crystal Server software semantic layers as well as various personal data sources, SAP BusinessObjects Lumira combines disparate data into a single view for maximum efficacy; and once connected to the SAP HANA platform, pulling answers from near-limitless data becomes virtually instantaneous.

Accessible & User-Friendly

Visual Data Analytics

Ensuring users across the business have speedy access to insights, SAP BusinessObjects Lumira lowers the reliance on IT departments. With self-service delivery of insights, IT teams aren’t required to help with each and every question, and the data discovery functions available connect directly to the enterprise so that IT departments can focus on the delivery of information timeously while upholding good governance procedures.

Of particular note is SAP BusinessObjects Lumira’s straightforward platform that combines point-and-click manipulation with practical visualization tools. Data can be prepared and enhanced with geographic and time hierarchies, formatting and cleaning data is uncomplicated, and sophisticated formulas can be added without the need for any coding; and perhaps most remarkable, all transformations created are automatically applied to refreshed and new data. Once the data preparation is complete, SAP BusinessObjects Lumira makes sure valuable insights aren’t overlooked due to engaging visualizations built effortlessly through the drag-and-drop interface. Beautiful graphics and visualizations ensure data analytics express perceptions and trends through a range of available charts and graphs and provide the opportunity to see the big picture at a glance or drill down to details.

The Value of Visualization

Dan Roam, international bestselling author and visual-thinking leader, makes a strong case for business and data presentations relying on simple visuals; putting this tactic to good use ensures clarity, comprehension, and conversion. For centuries, language has relied on pictorial communication and though what we experience today is a far more complex form than ever before, charts, maps, schematics and graphics often provide the best way to understand complex data. Considering further that insights from Cisco’s 2015 Visual Networking Index state that 90% of all data transmitted today is visual, combining business data management with visualization (As seen with the example visual below) should be the obvious next step.

global-ip-data-visual

But making use of visualization isn’t just about consistency; though we don’t yet know the precise figures, it’s estimated that half to two-thirds of brain activity is dedicated to vision with the majority of brain power dedicated to visual processing and the combination of visual inputs with the inputs of other senses. And so, visualization isn’t just an easier way to communicate, it’s a stronger form of interaction better able to convey information.

For organizations working with data and data exchange, visualizations offer improved comprehension through story-telling modes and further ensure that the greatest part of brain functioning is focused on the pertinent data. SAP BusinessObjects Lumira doesn’t just make this possible; it actively promotes superior data management and performance for rapid insights and improved agility.

Sponsored spotlight series by SAP

By Jennifer Klostermann

CloudTweaks Comics
Cloud Infographic – The Future (IoT)

Cloud Infographic – The Future (IoT)

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7 Common Cloud Security Missteps

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Cloud Infographic – Big Data Analytics Trends

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Cloud Infographic – Cloud Public, Private & Hybrid Differences

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The Future Of Cloud Storage And Sharing…

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Box.net, Amazon Cloud Drive The online (or cloud) storage business has always been a really interesting industry. When we started Box in 2005, it was a somewhat untouchable category of technology, perceived to be a commodity service with low margins and little consumer willingness to pay. All three of these factors remain today, but with…

The Future Of Cloud Storage And Sharing…

The Future Of Cloud Storage And Sharing…

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How To Humanize Your Data (And Why You Need To)

How To Humanize Your Data (And Why You Need To)

How To Humanize Your Data The modern enterprise is digital. It relies on accurate and timely data to support the information and process needs of its workforce and its customers. However, data suffers from a likability crisis. It’s as essential to us as oxygen, but because we don’t see it, we take it for granted.…

The Importance of Cloud Backups: Guarding Your Data Against Hackers

The Importance of Cloud Backups: Guarding Your Data Against Hackers

The Importance of Cloud Backups Cloud platforms have become a necessary part of modern business with the benefits far outweighing the risks. However, the risks are real and account for billions of dollars in losses across the globe per year. If you’ve been hacked, you’re not alone. Here are some other companies in the past…

Using Cloud Technology In The Education Industry

Using Cloud Technology In The Education Industry

Education Tech and the Cloud Arguably one of society’s most important functions, teaching can still seem antiquated at times. Many schools still function similarly to how they did five or 10 years ago, which is surprising considering the amount of technical innovation we’ve seen in the past decade. Education is an industry ripe for innovation…

Three Reasons Cloud Adoption Can Close The Federal Government’s Tech Gap

Three Reasons Cloud Adoption Can Close The Federal Government’s Tech Gap

Federal Government Cloud Adoption No one has ever accused the U.S. government of being technologically savvy. Aging software, systems and processes, internal politics, restricted budgets and a cultural resistance to change have set the federal sector years behind its private sector counterparts. Data and information security concerns have also been a major contributing factor inhibiting the…

Having Your Cybersecurity And Eating It Too

Having Your Cybersecurity And Eating It Too

The Catch 22 The very same year Marc Andreessen famously said that software was eating the world, the Chief Information Officer of the United States was announcing a major Cloud First goal. That was 2011. Five years later, as both the private and public sectors continue to adopt cloud-based software services, we’re interested in this…