danielrodrigues56

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Error "Query Couldn't Return All Data" When Connecting to Google Analytics

IssueWhen attempting to create a Google Analytics extract an error may occur:

"Query couldn't return all data"

OR

"Could not create extract"

Environment

Tableau Desktop

Google Analytics

ResolutionTo resolve the issue:

Turn Sampling on on the Data Pane in Tableau Desktop

Wait for some time and try connecting to Google Analytics again (as the error may be caused by too many calls being made to GA API)

Cause

The error usually occurs because of the below reasons:

Too many calls are being made via the API. As a result the Google API service refuses to process the call.

Too much data is being asked for (see Data Limits on Google's support pages) and sampling needs to be turned on.

Readmore: Data Analytics

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Schmarzo’s Big, Hairy, Audacious Data Analytics Predictions for 2020

Ah, it’s that time of year when everyone is making predictions about next year and extrapolating from the previous year’s trends to create logical, pragmatic predictions. I’ve already made my own predictions for 2020 in the article, “AI, Analytics, Machine Learning, Data Science, Deep Learning Technology Main Developments in 2019 and Key Trends for 2020,”where I predicted the following

Main 2019 Developments:

Growing "consumer proof points" with respect to AI integration into our everyday lives via smart phones, web sites, home devices and vehicles.

Formalization of DataOps category as an acknowledgment of the growing importance of the Data Engineering role.

Growing respect for the business potential of data science within the executive suite.

CIOs continue to struggle to deliver on the data monetization promise; Data Lake disillusionment leading to Data Lake "second surgeries."

Key 2020 Trends:

More real-world examples of industrial companies leveraging sensors, edge analytics and AI to create products that get more intelligent through usage; they appreciate, not depreciate, in value with usage.

Grandiose smart spaces projects continue to struggle to grow beyond initial pilots due to inability to deliver reasonable financial or operational impact.

Recession will drive chasm between "Have's" and "Have Not's" with respect to organizations that leverage data and analytics to drive meaningful business results.

But let’s have some fun with these 2020 predictions that are at the very edge of logical and pragmatic while offering a buzzkill perspective. We’ll create a new category of predictions: Big, Hairy, Audacious Predictions or BHAPs (a takeoff on Jim Collin’s famous BHAG writings) and sprinkle in some quotes from one of America’s most famous philosophers – Yogi Berra – to spice up the BHAPs! And I’ll even leave a place at the end for you to create your own 2020 BHAP because as Yogi Berra said, “The game isn't over until it's over”.

Schmarzo’s BHAPs

BHAP #1: Blockchain fuels definitive source of truth. Deep fakes that influence elections worldwide and lead to front-page grabbing headlines necessitates government’s dictating Blockchain as the only definitive and validated source of truth. Technology advances such as 5G and quantum computing underpin Blockchain’s capabilities. BHAP Buzzkill #1: Unfortunately, the government, driven by special interest groups, screws up the Blockchain definition (for fear of losing their ability to spy on their own citizens) and the potential of Blockchain to provide a definitive source of truth implodes on itself like a dying blackhole.

“I never said most of the things I said.” – Yogi Berra

BHAP #2: AI-driven autonomous entities become mainstream. Yes, Elon Musk is right in that one can create assets – vehicles, trains, compressors, turbines, etc. – that appreciate, not depreciate, in value the more that they are used. The more these assets are used, the more observations they collect and the smarter (and more valuable) they become. BHAP Buzzkill #2: Unfortunately, the AI function around which AI success is defined is so poorly defined by senior management consultants, that these assets end up becoming lazy, ineffective and finally unionize.

“90% of the game is half mental.” – Yogi Berra

BHAP #3:  AI transforms the Data Management landscape. Data engineering is the biggest hindrance to leverage data science to derive and drive new sources of customer, product and operational value. In an effort to alleviate these pains, DataOps providers add Machine Learning automation to underpin and automate many data engineering tasks. BHAP Buzzkill #2: Unfortunately, Data Engineers quickly realize that these efforts threaten their job security and sabotage the Machine Learning algorithms in a way that actually increases the demand in data engineers. Data Scientists consequently end up working on research papers in hopes of landing tenure at local, prestigious university.

“'It's tough to make predictions, especially about the future'” – Yogi Berra

BHAP #4: Co-creation becomes the only differentiated and sustainable business model.  Co-creation occurs when two organizations from different but complementary backgrounds collaborate to create a solution that benefits both. Co-creation between technology and commercial companies become a fundamental business model in identifying, codifying and operationalizing new sources customer, product and operational value. BHAP Buzzkill #4: Unfortunately, greed will raise its ugly head and passive aggressive behaviors will emerge from those who aren’t so enthusiastic in sharing credit, or the cover of Fortune Magazine, for their success with others.

“In theory there is no difference between theory and practice. In practice there is.” – Yogi Berra

BHAP #5:  AI success driven by grass root efforts, not management mandates. AI success will gain roots in companies where the rank-and-file, not senior management, are the driving factors. The rank-and-file will see the opportunity to liberate themselves from their daily drudgery by empowering AI devices that free them up for more value-added and creative work.

BHAP Buzzkill #5: Unfortunately, the rank-and-file try to push the AI initiative too far and AI actually replaces senior management. But the boring meetings that senior management is forced to endure drives the AI devices crazy, leading to them to self-destruct.

“I usually take a two-hour nap from 1 to 4.” – Yogi Berra

BHAP #6: Transition of SME tribal knowledge to AI algorithms fuels the next industrial renaissance. With millions of subject matter experts retiring across all industries with the resulting loss of the tribal knowledge necessary to keep operational running smoothly, organizations seek to capture, validate, codify (in AI algorithms) and operationalize this tribal knowledge, turning every Subject Matter Expert (engineer, technician, physician, nurse, teacher, lawyer, accountant) into the best Subject Matter Expert. BHAP Buzzkill #6: Unfortunately, the lack of health care in retirement forces many SME’s to unretire and put the AI algorithms out of work instead.

“You’ve got to be very careful if you don’t know where you are going, because you might not get there.” – Yogi Berra

BHAP #7:  GAAP introduces new financial rules for defining the financial value of data. The Accounting industry finally realizes the traditional accounting principles don’t work to define the value of big data and embrace economic principles to define the value of assets that never deplete, never wear out and can be used across an unlimited number of use cases. “Value in Use” wins out over “Value in Exchanges.” BHAP Buzzkill #7: Unfortunately, the value of data accounting principles is so complicated, that it takes an army of accountants to accurately make the value determination. The new law becomes known as the “Accountant Full-time Employment Act”.

“If the world was perfect, it wouldn’t be.” – Yogi Berra

BHAP #8:  Economics becomes Sexiest Job. As Gen Z starts to realize the unique characteristics of assets – like data and analytics – that appreciate, not depreciate, in value through usage and the associated collective learning, Economist replies Data Scientist as the Sexiest Job of the 21st Century. The “Economies of Learning” are truly more powerful than the “Economies of Scale” in knowledge-based industries. BHAP Buzzkill #8: Unfortunately, there graduates soon learn that companies pay for actual work, and most of these economics majors take jobs as coffee baristas (the modern bartender gig).

“It's like Deja vu all over again.” – Yogi Berra

BHAP #9: William Schmarzo wins the Economics Nobel Prize.  After his ground-breaking research paper on the Economic Value of Data at the University of San Francisco, followed up with this industry-leading perspective on "Schmarzo Digital Asset Valuation Theorem," the Nobel Prize committee has no choice but to award William Schmarzo the Nobel Prize in economics. BHAP Buzzkill #9: Unfortunately, the award is made posthumously…

Readmore: Does Big Data Impact Business Mobile App Development?

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Does Big Data Impact Business Mobile App Development?

This is a major contribution of analytics and big data when you talk about the success of mobile app development. Big Data is large data sets that can be analyzed to know more about the user’s interests, demographics, trends and interactions. We rely on mobile apps present on our phone for most of the tasks like a reminder, planner, health and fitness, etc. Big Data helps mobile developers get insights from the information generated through apps by users every day.

Check below how big data impacts a business’s mobile app development. 1. Create customer-driven mobile apps

The most preferred mobile app is the one which is free from bugs, is fast, easy to use and meets the needs of the users. Businesses should carefully analyze the customer’s experience using big data so that they can create better and usable apps. The data will provide information about what real customers want when they use the app.

The main aim of using this data is to get ideas to create apps with greater user experience. By analyzing the data, mobile app developers will know the behavior of customers and how they interact with the app. Mobile app developers can use this to enhance the existing app or to create a better version.

2. Big Data fuels user experience analytics

An extensive analysis of customer experience is required for app development. Using Big Data developers can collect full details about the behavior of the user which can be focused while assimilating user experience in app development. Hiring the right mobile app developers can think of new ideas for making new apps on the basis of how the users want it by analyzing through big data.

For example - Developers can analyze the top-rated apps in fashion if they want to create a similar app and could analyze apps like H&M, Zara, and understand what the users really want to do with their apps. They can add some innovative features to make their app more usable. 3. A new age of marketing

The new age of marketing has changed the way businesses market their products or services. Business Intelligence and Big Data have changed the way developers build apps. Well known marketers such as SalesForce Marketing and CheetahMail are also using big data to build a better app for customer experience. Companies who are targeting professional-level users should utilize big data analytics of mobile apps.

4. Big data as a crucial aspect of the future app

The market of mobile apps is expected to reach high volumes due to a large number of users who have shifted to the use of mobile phones and tablets. Therefore it is better to develop better usable mobile apps. Mobile apps are easier to use because of their simple and easily navigable display. Analysis of big data is the most effective way to obtain information making it a big investment for the business.

5. Mobile Advertising

Big Data also suggests how and where to target audience and this approach is very helpful as it is carried out with the help of proper analysis and also leads to an increase in traffic. Big Data uses demographic data, social behavior, and customers’ purchasing patterns to modify the strategies according to the user’s interest.

6. Big Data helps bridge international boundaries

If you are thinking of expanding your business globally, it is important to know how different users respond. These businesses need to analyze customer trends, ie. their behavior, interests, etc. If the business plans to develop a mobile app it should have the proper interface, support, and functionality that will help the app to get more traffic.

7. Purchasing options for in-app

The in-app purchases let you drive sales. The business should have an idea about the purchase format and what is best suited for your app. Businesses can search for similar apps and can take ideas from them. This will help you to focus on the experience of the customer and how to deal with them to increase sales.

8. Target marketing locally

It is important to do the target area marketing for regular interaction with users. This helps promote your business locally with the help of social media strategies and SEO. Through this, your customers will get to know about the events and offers which the app is providing.

With a rapid increase in the usage of mobile phones in the market, there is also a requirement of smart mobile apps to enhance the customer experience. Businesses are using business intelligence and Big Data to analyze the user’s behavior, their interest, and demographics and accordingly develop more engaging apps.

Readmore: Role Or Impact Of Methodology To Research On Big Data

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How Does Big Data Make E-learning Better?

Of the many advanced tools, the evolution of technology has empowered humanity with; e-learning is decidedly among the most crucial ones. Online learning has immediately expanded the scope of not only who can access invaluable knowledge, but also from where they can do it, which is anywhere. Combine just these two benefits, and it becomes clear why e-learning is such a rage. And even though it is a progressive concept on its own, but if there’s one learning from the technology it can be made better. It stands true for e-learning as well. And what can be used to make it better? While there’s a whole list of things, we’ll focus on big data.

Why? Because big data is helping service providers and companies take their offerings to the next level. You see, much like everything else, such courses to generate an ocean of data. Data that can be leveraged to drive change by adapting courses to serve the varied needs of learners better. One of the many ways big data has helped e-learning better is by assisting companies to put together more tailored, and thus more engaging, content. But is that all there is to big data and e-learning? So, let’s take a look at some of the other ways big data can be put to good use in this industry.

1.Understand students and their requirements better:

Each student is unique, and so are their learning needs. While this can be challenging to deal with, especially in conventional classroom setups effectively, big data can easily tackle this with e-learning courses. It can help companies design better content by providing insights about their current levels of knowledge, their learning pace, the areas that need attention, and so much more. Armed with such authoritative information, it becomes easier to create courses and use tools that will help make learning easier and better.

2.Create more engaging push notifications:

Of course, push notifications play a crucial role in e-learning as well. In this context, big data helps by allowing companies to understand precisely the kind of trigger that will encourage people to opt in. It also helps them determine the ideal place for pop-ups to ensure maximum engagement.

3.Optimize instructional strategies:

Big data, when used practically, can drive insights and analytics, which, in turn, can be utilized to inform effective teaching strategies. It uses factors like learning styles, preferences, and moreto glean such information. Based on the knowledge gained from such endeavors can be used to offer learning experiences that are customized in a manner to tend to individual learners’ requirements effectively.

There is not an iota of doubt that big data stands to help online courses much better than one would imagine. And for anyone who wants to fortify their digital e learning platform further would do well to integrate big data into their long term strategies for it is clear as day to see that this tool has much to offer.

Readmore: Top Ways in Which Big Data Has Fortified Geolocation Apps

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Top Ways in Which Big Data Has Fortified Geolocation Apps

The world is on the constant lookout for technologies that can help us further improve how we go about not only our daily lives but how we conduct business as well. And this search has led us to highly valuable resources: Geolocation and big data. We know the world is brimming with data, which makes it vital to use technologies that can help us sort through this data and make some sense of it. That’s where big data comes in — allowing us to extract value from the abundance of data. It is without burning a hole in our pockets. Now then, what about geolocation?

For the longest time, it was primarily used by marketing departments for relatively uncomplicated endeavors. For instance, with geofencing, i.e., when a company makes use of data about a users’ location, such as when they are in a specific geographical area, to tailor their marketing events, content, and more. But off late, the applications have grown. And when you put these two technologies together, what businesses get then is genuinely extraordinary. The use of geospatial data, in combination with data offers opportunities like never before — starting with the implementation of augmented reality to optimize operations. Also, there is so much that this duo can help businesses do and achieve. And to help understand their potential better, here are some of their other combined benefits.

Social media: Geolocation is already quite at home in the world of social media. But given that social media is a goldmine of data, it only makes sense that the two be united to help businesses serve their customers better. It can be used to deliver content, ads, and other marketing campaigns to the target audience via a medium that the world knows they incline for. Say, a customer is in the vicinity of your store, geolocation + big data can help deliver personalized content via social media.

Better business: The duo also helps companies to deliver better offers to customers that are more in tune with their requirements. As a result, the brand can capture users’ attention immediately and establish a preference for it as well. One of the best examples that come to mind is of beacon technology. It allows companies to deliver offers and content to customers based on their location within the store!

The improved context for data: Big data has done a terrific job of lending meaning to businesses’ vast collection of data. But with geolocation in the mix, one can fortify it further with geospatial context as well. It can then translate into immense benefits for apps.

To cut a long story short, the development of a location-based mobile app is not merely a ‘can have’ anymore. Based on the highly competitive market, we must make use of all tools at our disposal to stay ahead of the curve. And it isn’t hard either since such apps have tons of potential applications across a wide range of industries, including health care, manufacturing, construction, logistics, and more.

Readmore: Impact of big data on education: history, benefits and examples