Consider MEAN Development for Your Mobile Application Project!
Recent studies reveal that mobile apps are more popular than ever, and growing exponentially in the market. Here are just some of the study results to ponder:
Recent studies reveal that mobile apps are more popular than ever, and growing exponentially in the market. Here are just some of the study results to ponder:
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If your business is on the fence about making a move toward Digital Transformation (Dx), you might be interested in a recent study by IDG that surveyed businesses about the results of Dx and its benefits. 52% said that Dx enables worker productivity through tools such as AI-assisted processes, 49% said that that Dx gave the business the ability to better manage business performance through data availability and 46% said that Dx helped the business to better meet customer experience expectations.
Recent studies provide support for the choice of Java for programming and project support. It is estimated that Java will continue to grow in popularity because of its resilience, security and simplicity. SimilarTech reports that Java is popular in numerous vertical industries including:
Gartner research reveals that, ‘90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’ As business professionals, we all know that information is power and today, your business users are expected to know more and to keep pace with industry, market and customer changes that will negatively impact the business or have provide potential opportunities. But how do your team members achieve these goals when they are busier than ever, and the changes are coming more rapidly than ever!
‘Simple, self-serve BI tools can provide your business with the foundation to achieve your goals with features and tools like Social BI, Mobile BI, Embedded BI, etc.’
In this article, we will discuss the topic of modern business intelligence tools and solutions and the advantages of providing self-serve tools to your users for day-to-day analysis and intelligence gathering.
First, let’s look at some of the challenges you will need to consider when implementing self-serve BI tools:
There are many other challenges and considerations that should inform your BI tools strategy, but these two are perhaps the most important.
Now, let’s consider some of the many benefits of self-serve business intelligence and how it can support your goals and simplify the lives of your business users:
There are many other advantages to Self-Serve Business Intelligence. This short list should give you some ideas of how you can leverage these tools in your own business landscape.
‘As business professionals, we all know that information is power and today, your business users are expected to know more and to keep pace with industry, market and customer changes that will negatively impact the business or have provide potential opportunities.’
Business Intelligence solutions should include tools and techniques that make it easier to achieve data literacy and provide data analytics access to all business users. Simple, self-serve BI tools can provide your business with the foundation to achieve your goals with features and tools like Social BI, Mobile BI, Embedded BI, etc. Let us help you achieve your vision and improve productivity and insight across the organization.
Original Post : Let’s Discuss: Benefits and Challenges of Self-Serve BI!
In its review of the MEAN stack development suite, TechTarget.com states that, ‘(The MEAN) stack of development tools helps to eliminate the language barriers often experienced in software development.’ There is, perhaps, no better way to explain why the MEAN stack of tools and services has gained such popularity. Developers know their job and their tools but, when these tools are combined to provide more ease-of-use and to help developers navigate and leverage the various features, the development process is much simpler and quicker.
If your business is considering a Digital Transformation (Dx) initiative, these statistics may be of interest you:
Gartner has predicted that, ‘90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.’ Establishing the strategy is one thing, but getting business users to adopt an analytics and information-based business workflow is quite another.
‘Modern business intelligence tools that are designed with self-serve features makes it easy enough for every user (no matter their technical skill) to leverage analytics to report, share and collaborate.’
When it comes to teams, there are two things that are always true: 1) they learn a process and workflow and rarely want to change that familiar process and 2) they are always suspicious of ‘new’ initiatives and nearly always believe that these new initiatives will result in more work for them. There is a reason your team resists new processes and initiatives and that reason is simple. Usually, their fears are warranted!
So, if you want to engender support for new analytics initiatives and engage a business community in fact-based, action-oriented initiatives, you need to plan this new initiative with your users in mind.
In this article, we focus on two of the primary components of a new business user analytics initiative.
Modern business intelligence tools that are designed with self-serve features like smart data visualization, self-serve data preparation and assisted predictive modeling make it easy enough for every user (no matter their technical skill) to leverage analytics to report, share and collaborate. By adding value to the user’s everyday tasks and reducing the rework and issues they will confront, you can encourage your users to adopt analytics initiatives.
Those self-serve tools should include reporting and graphical tools that are clear and concise. Business users don’t want tools that produce complex reports filled with columns and mind-numbing numbers that do not help them reach a decision or illustrate an issue. Cross-tab analytics have been around for some time but the new, improved versions of this capability provides real insight into data in a way that is clear for every user. Sophisticated functionality is underpinned with easy-to-use tools so users can analyze the relationship between or among two or more variables and summarize data in rows and columns making it easy to understand the relationships and intersection of the various types of data. Understanding relationships in data is crucial to identifying the root cause of a problem or to targeting an issue or identifying a business opportunity. Your team members can work with multi-dimensional data and perform ad-hoc queries to gain a clear view of performance, dive into your data, and find and understand the data they need quickly and intuitively. Cross-tab analysis simplifies complex data operations, summary operations, time series functions, filters and custom column expressions and enables business users with simple tools they can really use.
‘If you want to engender support for new analytics initiatives and engage a business community in fact-based, action-oriented initiatives, you need to plan this new initiative with your users in mind.’
Business Intelligence tools can improve your business results. If your business understands the challenges of implementing a business intelligence solution and adequately plans for implementation and user adoption, it can leverage the benefits of these tools and solutions and ensure success. Let us help you achieve your vision and improve productivity and insight across the organization.
Original Post : Enable User Adoption with Self-Serve BI and Cross-Tab Analytics!
A recent Statista report reveals that the popularity of cross-platform applications is growing by leaps and bounds with 3.5 million apps available on Google Play, 2.2 million in the Apple App Store and nearly 500,000 in the Amazon AppStore. The popularity of cross-platform applications is not surprising. Today’s consumers and business users want access to their favorite apps from all of their devices, whether those devices be based on iOS or on Android. Developers and service providers must satisfy these expectations by offering seamless access and navigation on all types of devices.
Statista reports approximately 3.38 million apps in the Google Play Store and 2.22 million apps in the Apple App Store, and an estimated annual revenue of $935 billion dollars for the mobile app market. Certainly impressive statistics! If your organization wants to jump into the market with a consumer app or develop a mobile app for business users, one of the first decisions you will need to make is whether to design for the Android or the Apple market, or to design for both.