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11 Design Trends in Mobile App Design for 2016

The mobile phone has rapidly become the most widely used technology in the world. It is getting far more common than traditional computers. The statistic forecast that the total number of smartphone users worldwide by 2020 would be 6.1 billion, according to the annual Mobile Report from Ericsson.

The statistics show every year brings to the fore more in the realm of business access via mobile apps. The impact of a smartphone for business is undeniable. From smartphones to tablets, the ways to look up products and research via mobile apps are increasing at an alarming pace and it’s better to stay ahead than be left in the dust.

The rule of the game is simple: you’ve got to get—and hold—the attention of your consumers. And hold it long enough until they’ve paid for your product or services.

With mobile being front and center more than ever, designers are looking to perfect their mobile-design skills for their clients and customers. They have to prioritize the user experience when designing mobile apps, and designing native mobile apps that offer a richer experience than mobile web apps is the way to go.

The top trends that Mobile Design holds for 2016 are:

1- Increasing Wearable Influence
Wearables have taken concept of mobile to a whole new dimension. According to the Gartner’s prediction of 2016 wearables market, there will be 50.4 million units sold in wearable market, which is an 18.4% increase from 2015 sales.

Not only is the screen smaller than a traditional mobile device, but wearables also encourage people to use mobile technology in different scenarios than smartphones and tablets, leading to necessary changes in the user interface.

For instance, the way you’d tap the screen of a smartphone to open a native news app is different to how you’d have to reach over with one hand to touch your Apple Watch to use its features.

As a result, 2016 will see designers and developers race to create intelligent, user-friendly wearable apps that are unique to this type of mobile device.

THE_WEARABLE_COMPUTING_MARKET_REPORT-fb377723cf5a70ab94d31d9273893d4c

2- Multi-app Split Screen
Multi-app Split Screen allows you to do two things at once on your screen. It means, if you are on your Evernote native mobile app, you can email at the same time or tweeting and can look something up on the Internet simultaneously. The convenience is beyond amazing, as it saves the time and trouble of tapping the home button, and then constantly switching between two (or more) open app windows.

It’s clear that impressive features such as split-screen capability have made all the difference to consumers.

With Android fans clamoring for, and wondering when Google is finally going to introduce the mobile split-screen feature on its devices. Google seems to already be making baby steps toward this right now, so it’ll be interesting to see what they come up with later this year.

The time also seems right for designers and developers to focus their efforts on finally producing split-screen multitasking for Android.c6902bcd8538d2bc8d8bfad575352934

3- Surge in Native and Mobile Web Apps
For some time, there’s been a dispute over what type of mobile app works best: native mobile apps that you open by tapping on your smartphone’s home screen or mobile web apps that you access from mobile versions of browsers.

Designers and developers would argue that native apps are superior because they are faster for the users, can be monetized in places like the App Store, and offer users access to mobile operating system features like the camera, contact lists, etc. That’s definitely true!

However, recent research by Google’s product director, Luke Wroblewski, indicates that there’s great demand for both types of apps, in spite of the apparent limitations of mobile web apps. According to his data, native app users spend 18 times longer on native apps than on mobile web apps…yet mobile web apps see almost 9 million monthly visitors compared to native apps’ 3.3 million monthly visitors.

Therefore, mobile audience growth is based on mobile websites, so developers will have to continue serving that market with mobile web apps, too, while continuing to prioritize mobile native apps that have a better UX. Screen-Shot-2016-02-04-at-10.20.38-PM

4- Better UI for Gestures
What’s a gesture? In mobile design, it’s divided into two groups, according to Google:

  • Touch mechanics (what your fingers do on a screen)
  • Touch activities (what they accomplish, as a result)

For example, if I tap on my iPhone’s native mobile mail icon, I’ve produced a touch mechanic, that in turn creates the ensuing touch activity, which is my inbox opening.

With projections of smartphone users at more than 6 billion globally by 2020, it’s high time that designers design UIs to better accommodate a range of mobile gestures.

Touch mechanics include:

  • Touch (tap)
  • Force Touch
  • Double touch
  • Drag, swipe or fling
  • Long press
  • Long-press drag
  • Double-touch drag
  • Pinch open
  • Pinch closed
  • Two-finger touch
  • Two-finger drag, swipe or fling
  • Two-finger long press
  • Two-finger long-press drag
  • Two-finger double touch
  • Rotate

Some native mobile apps, such as Starbucks, use an unappealing UI that makes, for instance, validating a free drink reward more cumbersome than it should be. If I have a free drink, I have to actually shake my phone by using my entire hand to get the barcode to appear on the screen for it to be validated.touchscreen-hand-gestures

5- Material Design Captivates the Mobile Design Community.
Material Design is not completely flat anymore because it uses techniques like gradients, shadows and other subtle, 3D effects. As a result, this slightly different approach to native mobile design has people excited because it’ll drastically improve the UX on mobile devices.

Unsurprisingly, Google will be a big player in influencing native mobile design trends this year. Beyond mobile, Google’s Chrome browser is also set to incorporate material-design touches in its interface, and Google is all set to unveil its new material design-influenced Chrome browser soon.

Though material design was slow to be adopted to various Android apps last year— we’re talking Gmail, YouTube, Google Maps—that’s changing in 2016, as more native apps from companies outside of Google join the material-design bandwagon.Screen-Shot-2016-02-10-at-12.03.46-AM

6- Moving Animation
People are naturally programmed to take notice of movement, so incorporating movement into a mobile design can be the perfect way to highlight a specific product. This makes moving animation a superb tool for e-commerce sites. This also has a secondary, more useful purpose: Letting users move products around on the screen before they buy it makes it easy for them to inspect it from all sides…almost as if they were in a real, tactile store.

With Web Designer Depot proclaiming that “animation is no longer a novelty for web designers…it’s becoming the basis of effective interaction design,” moving animation is set to take off in a large way this year as designers increasingly realize that movement helps tell a story, and that helps the UX.

Bugaboo’s mobile site features moving animation that lets customers examine its popular strollers from all sides, which beats merely looking at still pictures to make a buying decision.

7- Micro-interactions Become More Prevalent
Micro-interactions are focused on the UX of a native mobile app. They’re subtle tasks that work around four elements.

  • The Trigger
  • The Rules
  • Feedback
  • Loops and Modes

For example, Slack is an awesome native mobile app that is replete with great micro-interaction examples.

I tap the “plus” sign next to Direct Messages. This is the trigger because it starts the micro-interaction. Now, I get to communicate directly with my Slack collaborator, which forms the rules or the way the interaction functions. How do I know this? Because, thirdly, the feedback Slack gives me on-screen shows a “New Conversation” box opening up, where I can chat directly with her. Finally, the length of this micro-interaction—or loop—is as long as I want it to be, as I can close the new message when I want to.

As you can see, these micro-interactions let people instantly observe the results of their on-screen actions by providing helpful and understandable feedback. This greatly improves the UX. As more designers see this innate value to users, micro-interactions will get more widespread.

1672922-inline-microinteractions-quickref

8- Subdued Color Contrast
You’ve probably been taught that contrast should be high and loud to facilitate an easier reading experience, but 2016’s mobile design trends go against the mainstream conventional wisdom by toning things down a bit.

The usual typography contrast is black font on a white background—there are even various color-contrast calculators on the web (like Contrast Ratio) to help you find good contrast for readability.

In 2016, though, contrast will get less loud and more subtle, which is actually easier on the user’s eyes and facilitates a better reading experience. Some of the biggest websites in the world are already moving to this subdued form of color contrast.Screen-Shot-2016-02-10-at-12.02.15-AM

9- Flat Design 2.0 Begins to Replace Flat Design
One of the few, but big, criticisms of flat design is the lack of signifiers on things like icons and buttons, which fail to adequately communicate functional design elements. This has a negative impact on UX since what users can click and tap isn’t necessarily obvious at first.

This might not seem like a big deal to veteran users, but the point of good native mobile design—mobile and otherwise—is to make the UX easy enough that even novice users can find their way around your native app or mobile website.

Flat design 2.0 is like Material Design in a sense because both use more 3D effects like shadows, gradients and lighting effects. However, whereas Material Design is more of an aesthetic and design philosophy based on paper and ink (read: tactile elements), flat design 2.0 is an actual response to and way of addressing flat design’s shortcomings.

One should look for more mobile sites and apps to retain the flat look, but with noticeable shading to indicate subtle 3D elements. These will make it easier for users to figure out where to tap and slide, such as Android Evernote’s native mobile app above.FLAT_DESIGN_vs_REALISM_02

10- Increased Tracking in Typography
So much of the mobile web today deals with readability. One of the most important aspects of readability is tracking, or the consistent space between all letters in a word. The greater the tracking, the easier the word is to read because users don’t have to squint to read the word.

With the big focus on native mobile usability, designers need to look at increasing the readability of their content.

Typography authority Typewolf released its list of “the most popular fonts of last year”, and the big trend is spacious and generous tracking between letters of the most popular fonts, which will continue into 2016. With Gartner predicting the number of mobile devices increasing in 2016, readability is going to be increasingly vital to UX designs that will attract native mobile app users in even greater numbers.

11- The Grand Scheme of Interactive Designs
his one means we’ve started to see apps focused around users. The challenge to draw in more and more users has given birth to interaction designs. This, of course, entails the integration of interactive elements to lure consumers with an interesting, powerful and creative visual story. This kind of design’s got punch, we’ll give you that.Blog-Post132

Conclusion
Look for these trends to dominate the native mobile landscape as the year progresses. It’s clear that now is the time of mobile, as evidenced by mobile users now completely outweighing desktop users…. Don’t hold your breath waiting for these stats to reverse.

With this focus on mobile, it’s no surprise that the design community is looking for increasingly interesting designs to improve the UX and get people on native mobile with greater comfort than ever.

What do you think of this list of mobile design trends? Are there any we left off? If you think there are, please email us at hello@mantralabsglobal.com

Check out these articles to catch the latest trends in mobile apps:

  1. 7 Important Points To Consider Before Developing A Mobile App
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  3. Google for India September event 2019 key highlights
  4. Learn Ionic Framework From Scratch in Less Than 15 Minutes!
  5. AI in Mobile Development
  6. 10 Reasons to Learn Swift Programming Language
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Lake, Lakehouse, or Warehouse? Picking the Perfect Data Playground

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In 1997, the world watched in awe as IBM’s Deep Blue, a machine designed to play chess, defeated world champion Garry Kasparov. This moment wasn’t just a milestone for technology; it was a profound demonstration of data’s potential. Deep Blue analyzed millions of structured moves to anticipate outcomes. But imagine if it had access to unstructured data—Kasparov’s interviews, emotions, and instinctive reactions. Would the game have unfolded differently?

This historic clash mirrors today’s challenge in data architectures: leveraging structured, unstructured, and hybrid data systems to stay ahead. Let’s explore the nuances between Data Warehouses, Data Lakes, and Data Lakehouses—and uncover how they empower organizations to make game-changing decisions.

Deep Blue’s triumph was rooted in its ability to process structured data—moves on the chessboard, sequences of play, and pre-defined rules. Similarly, in the business world, structured data forms the backbone of decision-making. Customer transaction histories, financial ledgers, and inventory records are the “chess moves” of enterprises, neatly organized into rows and columns, ready for analysis. But as businesses grew, so did their need for a system that could not only store this structured data but also transform it into actionable insights efficiently. This need birthed the data warehouse.

Why was Data Warehouse the Best Move on the Board?

Data warehouses act as the strategic command centers for enterprises. By employing a schema-on-write approach, they ensure data is cleaned, validated, and formatted before storage. This guarantees high accuracy and consistency, making them indispensable for industries like finance and healthcare. For instance, global banks rely on data warehouses to calculate real-time risk assessments or detect fraud—a necessity when billions of transactions are processed daily, tools like Amazon Redshift, Snowflake Data Warehouse, and Azure Data Warehouse are vital. Similarly, hospitals use them to streamline patient care by integrating records, billing, and treatment plans into unified dashboards.

The impact is evident: according to a report by Global Market Insights, the global data warehouse market is projected to reach $30.4 billion by 2025, driven by the growing demand for business intelligence and real-time analytics. Yet, much like Deep Blue’s limitations in analyzing Kasparov’s emotional state, data warehouses face challenges when encountering data that doesn’t fit neatly into predefined schemas.

The question remains—what happens when businesses need to explore data outside these structured confines? The next evolution takes us to the flexible and expansive realm of data lakes, designed to embrace unstructured chaos.

The True Depth of Data Lakes 

While structured data lays the foundation for traditional analytics, the modern business environment is far more complex, organizations today recognize the untapped potential in unstructured and semi-structured data. Social media conversations, customer reviews, IoT sensor feeds, audio recordings, and video content—these are the modern equivalents of Kasparov’s instinctive reactions and emotional expressions. They hold valuable insights but exist in forms that defy the rigid schemas of data warehouses.

Data lake is the system designed to embrace this chaos. Unlike warehouses, which demand structure upfront, data lakes operate on a schema-on-read approach, storing raw data in its native format until it’s needed for analysis. This flexibility makes data lakes ideal for capturing unstructured and semi-structured information. For example, Netflix uses data lakes to ingest billions of daily streaming logs, combining semi-structured metadata with unstructured viewing behaviors to deliver hyper-personalized recommendations. Similarly, Tesla stores vast amounts of raw sensor data from its autonomous vehicles in data lakes to train machine learning models.

However, this openness comes with challenges. Without proper governance, data lakes risk devolving into “data swamps,” where valuable insights are buried under poorly cataloged, duplicated, or irrelevant information. Forrester analysts estimate that 60%-73% of enterprise data goes unused for analytics, highlighting the governance gap in traditional lake implementations.

Is the Data Lakehouse the Best of Both Worlds?

This gap gave rise to the data lakehouse, a hybrid approach that marries the flexibility of data lakes with the structure and governance of warehouses. The lakehouse supports both structured and unstructured data, enabling real-time querying for business intelligence (BI) while also accommodating AI/ML workloads. Tools like Databricks Lakehouse and Snowflake Lakehouse integrate features like ACID transactions and unified metadata layers, ensuring data remains clean, compliant, and accessible.

Retailers, for instance, use lakehouses to analyze customer behavior in real time while simultaneously training AI models for predictive recommendations. Streaming services like Disney+ integrate structured subscriber data with unstructured viewing habits, enhancing personalization and engagement. In manufacturing, lakehouses process vast IoT sensor data alongside operational records, predicting maintenance needs and reducing downtime. According to a report by Databricks, organizations implementing lakehouse architectures have achieved up to 40% cost reductions and accelerated insights, proving their value as a future-ready data solution.

As businesses navigate this evolving data ecosystem, the choice between these architectures depends on their unique needs. Below is a comparison table highlighting the key attributes of data warehouses, data lakes, and data lakehouses:

FeatureData WarehouseData LakeData Lakehouse
Data TypeStructuredStructured, Semi-Structured, UnstructuredBoth
Schema ApproachSchema-on-WriteSchema-on-ReadBoth
Query PerformanceOptimized for BISlower; requires specialized toolsHigh performance for both BI and AI
AccessibilityEasy for analysts with SQL toolsRequires technical expertiseAccessible to both analysts and data scientists
Cost EfficiencyHighLowModerate
ScalabilityLimitedHighHigh
GovernanceStrongWeakStrong
Use CasesBI, ComplianceAI/ML, Data ExplorationReal-Time Analytics, Unified Workloads
Best Fit ForFinance, HealthcareMedia, IoT, ResearchRetail, E-commerce, Multi-Industry
Conclusion

The interplay between data warehouses, data lakes, and data lakehouses is a tale of adaptation and convergence. Just as IBM’s Deep Blue showcased the power of structured data but left questions about unstructured insights, businesses today must decide how to harness the vast potential of their data. From tools like Azure Data Lake, Amazon Redshift, and Snowflake Data Warehouse to advanced platforms like Databricks Lakehouse, the possibilities are limitless.

Ultimately, the path forward depends on an organization’s specific goals—whether optimizing BI, exploring AI/ML, or achieving unified analytics. The synergy of data engineering, data analytics, and database activity monitoring ensures that insights are not just generated but are actionable. To accelerate AI transformation journeys for evolving organizations, leveraging cutting-edge platforms like Snowflake combined with deep expertise is crucial.

At Mantra Labs, we specialize in crafting tailored data science and engineering solutions that empower businesses to achieve their analytics goals. Our experience with platforms like Snowflake and our deep domain expertise makes us the ideal partner for driving data-driven innovation and unlocking the next wave of growth for your enterprise.

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