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As the competition amongst organizations has increased, adopting data-driven work culture has also become imperative for businesses.However, often while integrating data science, organizations face the challenge of transforming digitally. This failure can be due to an absence of cultural adoption of data science within an organization, rather than a technical loophole. That’s why a planned strategical approach becomes necessary for building data-driven work culture.
1. Leadership adopting Data Science:For integrating AI or data science in any organizational set-up, the administration and the top management must be the first to accept that incorporating data is a necessity for improved business. An excellent example of leadership would readily amplify the involvement of employees towards accepting the new technology and acknowledging its presence, rather than viewing it as a threat. Once this leadership attains the comfort of propelling the institution with data science, management can guide its employees towards accepting the functionalities of data-science. By incorporating data-science, the top leaders can also monitor the market trials while launching the new product or services and will take evidence-based actions.
2. Choosing the smarter metrics:Often, the loophole in choosing smarter metrics could lead to the inability of organizations to adapt to a digital environment. By applying predictive accuracy, the organizations can be benefitted in planning out a strategy that would be better suited for understanding the competition process in an already competitive business world. By integrating data science in the current work culture, organizations would be able to organize and analyze the customer behaviors, up-gradation, and customer performance, while buying the products and services from the company. In this way, the organizations can examine the quality of services received by the customers, and which products or services are having more customer inclination and buy-out.
3. Prioritizing Data Scientists-It has often been observed that most of the time, the failure to integrate data-science amongst organizations is due to the gap between data analytics and business. Analytics is part of any organization which is looking towards transforming digitally; without the involvement of data scientists, this is unattainable. That’s why an approach must be built in aligning data analytics with businesses. This can be done by initially creating a highly porous boundary between the data scientists and businesses. With this approach, the organizations are rendered for instilling a rotational workforce that would alter as out of excellent staff and in-line roles, thus scaling up the proof of concept. Thus, integrating different functional areas with analytics would infuse domain knowledge and technical know-how amongst the organization.
4. Fixing the basic data-access issues-One of the often complained issues of business leaders, while moving towards digital transformation, is the inability to access the required amount of data. With only limited data available, the analyst faces difficulty in analyzing the data thoroughly. But this could be rectified by applying logjam. This means that organizations can grant universal access of data, to adjust one key measure, at a time, instead of slow-programs for organizing the data. This can also be achieved by constructing a standard data layer for anticipating the financial requirements, which would enable organizations to focus on the relevant needs.
5. Quantifying Uncertainty:Every new technology has a certain level of uncertainty, which is well acknowledged by organizations. However, addressing this uncertainty would not only help to make an improved decision but will also help in identifying the source of that uncertainty. By rigorously evaluating uncertainty, the organizations can have a deeper understanding of the data-driven models.
6. Starting from small, going to bigger: 7. Data Science for Employees:Data science is not only essential for understanding customer behavior but for enhancing data-driven organization work culture, the employees must be accepting the new technology. It is often observed that a lack of employee enthusiasm and expertise, becomes the reason for the data-driven transformation. So, to counter this thwart, the organizations are required to train their employees with the concepts of big data. This will not only make the employees more enthusiastic towards deploying their data-driven skills but also enable them to identify the gaps or the areas requiring urgent attention, without the involvement of leadership or experts.
8. Offering Training Just in Time:Offering training to employees before starting to transform the organizations digitally can enable them to gain an understanding of the functioning, methodology, and analysis required for data science. Thus, when the leaders plan out a strategy for organizational data-driven transformation, the employees can be more focused in delivering their inputs regarding the strategy, so that a finer deployment of data analytics can be possible.
9. Trading Flexibility with consistency: 10. Making Analytical Choices:You're reading Top 10 Steps For Creating A Data
5 Steps To Creating A Rigorous Humanities Course
I teach an AP course in United States history (APUSH). My goal, of course, is to teach U.S. history to my students, but I desire to do so in intellectually rigorous and thought-provoking ways. My students have “learned” this history before, but it’s my task to engage them with history so that they can better understand the world and their place in it.
To do so, I inject college-level rigor into the course.
No shade to my K–12 education, but when I entered college, I had to be trained to think through information as opposed to memorizing information. In other words, my professors sought to engage me by requiring me to make connections between theory and practice—to assess our current path as a society.
Train Students to Engage in Intellectual Work
For example, I was required to make the connection between our country’s founding documents and how true our institutions are to those documents as a means of assessing racial injustice. That level of analysis is more valuable than simply knowing who wrote and who signed the Constitution or the Declaration of Independence. That type of engagement shouldn’t be limited to the collegiate experience, and that’s why I encourage my students to participate in this intellectual work.
However, knowing dates, people, and places is important. Identifying literary devices in prose or poetry is critical. Yet knowing these absent the opportunity to utilize the knowledge of them to dissect the content to interpret what our world is saying to us is akin to providing someone with a comfortable home without the key to unlock the door.
Rigorous intellectual work helps students unlock the doors of understanding, which may seem easier in an 11th- or 12th-grade humanities classroom. But how do you do that in a ninth-, seventh-, or fifth-grade humanities classroom where knowing the basics is as vital as philosophical discussions about society as part of rigorous instruction?
Here are some ways you can do this in your classroom that have worked well for me.
1. Assign a timely book for classroom discussion
A text that is recent or relevant to the times can spark interest in history. Depending on your students’ needs, a book that provides steps or tips for accomplishing a goal may work well. For my APUSH class, we’re reading Roxanne Dunbar-Ortiz’s book Not a Nation of Immigrants. It explores American history by discussing the white settler origins of the U.S. in relation to the experiences of all peoples that make up the “melting pot,” in a relevant way. It spurs great discussion and has complemented our coursework well. Be creative and find something that students can sink their teeth into. You may have to strategically introduce it, but do it.
Lastly, make class time to discuss the book and highlight students’ insights from their reading. Don’t be afraid to let students know they’ll be graded on participation (or lack thereof). Also, use the Socratic method if you have to encourage students to read the text.
2. Give writing assignments rather than tests and quizzes
Quizzes and tests generally assess knowledge of a subject or of specific content. Writing assignments often do the same, but they also provide an opportunity to show how students can apply or relate their knowledge to a scenario or assess something they’ve witnessed.
Writing in general helps students think through their experiences as well as what they’ve learned. Use writing exercises and assignments so that students can internalize, question, identify, and call out things that lead to their mastery of the content.
3. Create opportunities for public speaking in class
Inject some life (and fun) into your class by allowing students to present what they’ve learned by offering an in-person or prerecorded video presentation. Another way to get students talking is to allow them to debate with each other on lesson topics (and/or current events).
Public speaking opportunities can help students develop their skills and possibly overcome their fears while also providing a different kind of assessment for teachers. Not to mention that students just might have fun talking instead of always listening.
4. Have students utilize data to expand their understanding
Data offers researchers and educators alike an opportunity to gain more insight into social and historical trends and also into attitudes and stances concerning various social and policy issues. Teaching students how to engage with data (read/interpret data and also manufacture data via experiments) is a valuable skill for them but also a great way to engage them. Show students how to read and understand data/statistics, so that they may include data within their writing as well as evidence during discussions.
In my classes, I’ve used qualitative coding to discuss the importance of voting. To prove that, we asked educators, parents, and non-educator staff whether they voted in the previous election and if so, why. We took those responses and created data by coding words in them to find themes among the categories of respondents. The data gave us insight into the reasons why folks choose to vote or not. We even shared our report with local lawmakers to inform their voting drive initiatives.
5. Give students autonomy with assignments
For example, if a marking period is 10 weeks long and contains two units over the course of the marking period, you could require that students complete 20 assignments per unit (40 total) out of a possible 25 assignments per unit (50 assignments). That means students must complete four out of five assignments per week. If you categorize your assignments (for example, homework, classwork, quizzes, tests, and projects), you can decide which assignments are mandatory or optional.
For example, tests and projects are mandatory, and everything else is optional. Quizzes are weekly, but students only have to take three out of five quizzes. That would mean that in one unit (five weeks), students would complete one test, one project, three quizzes (one task a week), 10 classwork assignments, and five homework assignments.
When students express difficulty with the challenging nature of the assignments, I compromise where I can and push them where they need to be pushed. I generally do more pushing than compromising. My compromise for anything they request grace with is the removal of a rubric requirement—not a removal of rigor.
Lastly, you can provide extra assignments for which students can receive extra credit . This kind of autonomy provides students with the opportunity to display their mastery of the content in various ways with the flexibility of selecting their assignments, while also being rewarded for going above and beyond what is asked of them.
Top 7 Prezi Alternatives For Creating Stunning Presentations
When it comes to using technology for putting forward ideas before a group of people, there’s hardly a medium that’s better than presentations. From educational institutions to corporations, presentations are used everywhere, and that too in a myriad variety of ways. And even though there are quite a few presentation tools available out in the wild, the web based Prezi is one of the most popular among them.
That’s right, there are numerous Prezi alternatives, both online and desktop based, that you can use to create engaging presentations, and enthrall your audience. So why wait? Get reading, and find out more about them all.
Best Prezi Alternatives: Online Tools
1. SlidesPricing: Paid plans start from $6/month, Free plan available
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2. Haiku DeckIf you’re looking for a simple yet impressive Prezi alternative, Haiku Deck is just what you need. It comes with a bunch of templates for creating specific type of presentations, such as Press Releases, Professional Profiles, and Social Media Reports. Not just that, you can access over 40 million Creative Commons images for using in your presentations. You can create multiple presentation decks, and embed playable YouTube videos into them. A unique feature of Haiku Deck is the Zuru (beta), which makes use of artificial intelligence to transform PowerPoint files into amazing presentations. There’s even an iOS app for creating presentations on your iPad or iPhone.
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3. EmazeWhat sets Emaze apart from the rest is its impressive collection of presentation themes/templates, which include 3D zoom animations and video backgrounds. The created presentations can be downloaded both as videos, or as PDF files. For professional and business users, Emaze offers features such as analytics support, customized brand templates, and multi-user collaboration on presentations. Emaze even makes it possible to import your existing PowerPoint presentations, and make them better using the available templates.You can also share the presentations over all popular social networks, and specify access permissions (e.g. view, download) for them granularly.
Pricing: Paid plans start from $9/month with 14 day free trial, Free plan available
4. PowToon SlidesIt’s not exactly the easiest to use, but there’s little denying the fact that PowToon Slides is probably one of the most feature-laden Prezi alternative you can find. From marketing/sales to training, and from education to greeting cards, PowToon Slides has hundreds of templates for everything. It lets you add graphs, shapes, audio, video, and a lot more to your presentations. You can specify transition duration and animations for the slides as well. Once created you can directly upload your slides (as videos) to video sharing services like YouTube and Vimeo, as well as download them in multiple formats such as PDF and MP4. The paid level accounts even let you download slideshows as HD videos, and include other features like royalty free music and third party transfer rights. That said, PowToon’s pricing is a bit on the higher side.
Pricing: Paid plans start from $19/month, Free plan available
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5. SlidebeanProbably the most distinguishing feature of Slidebean is its extremely detailed templates, which not only include regular elements such as background images, but also content placeholders for a full presentation outline. As an example, a “Company Intro” template will have content fields like About us, What we do, and things like that. You can also add custom elements such as quotes, line charts, tables, and videos to your presentations. Slidebean even lets you search and add Creative Commons images and icons for adding into the presentations. Other powerful features include real-time collaboration, PDF export, and a dedicated account manager.
Pricing: Paid plans start from $8/month, Free plan (limited to creating one presentation) available
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Best Prezi Alternatives: Desktop Applications
6. SlideDogPlatform Availability: Windows
Pricing: Paid plans start from $9.90/month, Free plan available
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7. FocuskyPlatform Availability: Windows, Mac OS X
Pricing: Paid plans start from $8.33/month, Free plan available
Download
SEE ALSO: 10 Best Online Presentation Tools
Create engaging presentations, even without Prezi!
5 Steps To Manage Risk In A Big Data Environment
By Chael Christopher, Senior Principal, Business Intelligence, NewVantage Partners
Not much of consequence happens without risk. As more organizations realize the value of Hadoop while they look to adopt big data into their technology portfolio, they also need to consider the inherent potential for negative consequences. Big data has opened up a whole new world of risk, but that’s not stopping — or even slowing — many businesses looking to cash in on the rewards. To balance this process, technology and business leaders should know how to manage the conversations around big data risks as well as rewards.
When viewed through the lens of risk, organizations have different classifications and considerations to own:
Data security and administration are the obvious issues that usually get the first look. But there are many technical layers for appreciating the security of your data, including:
perimeter security
data encrypted at rest and in transit
proper configuration for authentication, provisioning, onboarding, offboarding
high availability and failover
bare metal versus cloud
Who is going to manage this environment? Can you find the talent to stand up, lock down and maintain your big data stack? When new big data initiatives are launched, these questions are the first things that IT and your information security team will want to know. Be ready with the answers, and know why these things are important for securing funding and buy-in.
Is there a cost to NOT having the tools in place, like not being able to leverage your data assets? This is a new technology landscape – business analysts have to learn how to hunt for their own data. The onus for coding business rules into viable code has shifted responsibilities from process-heavy IT functions to results-oriented business units. With great power comes great responsibility, but you should trust your people and reward them with your “data first” ethos.
This is one of the biggest latent risks because it indicates that the technologies have evolved but your mindset has not. It can be like using a hammer to drive in a screw. You just spent a lot of money to recreate your data warehouse in Hadoop – and that’s not what it’s for. Understanding the differences between a data lake and a data warehouse will be important, and be ready to preach this on a daily basis.
There are vendor management implications, for sure. Maybe it would just be easier on procurement if a database just released their own big data stack? Unfortunately, that’s not how this works. Organizations need to accept that big data environments are complements to their existing technology stack, and that the new players are approaching data analytics from a different perspective.
Organizations need to understand – if not obsess about — the relationships between their big data environment and the inherent risks associated with having or not having one. Innovation will not arrive without risk, and when thoughtfully managed and understood, your organization will be better prepared to move forward.
The rewards and bounty for succeeding with big data are just now being realized. For some organizations, that means better customer service, retention or acquisition. Profits may improve by creating new, sophisticated product recommendations. For other organizations, fraud identification and prevention techniques are reducing overall costs and isolating additional risk points. All kinds of big data risk/benefit scenarios are emerging, and many companies have concluded that they are ready because they took the time to weigh the risks and convey the “whys” throughout their company. Because if you can’t assess the yield from your big data strategy, you aren’t ready to take that first, risky Big step.
Chael Christopher is senior principal and practice lead, Business Intelligence, for NewVantage Partners, a provider of data management and analytics-driven strategic consulting services to Fortune 1000 firms.
Photo courtesy of Shutterstock.
Creating Responsive Designs For Email Templates
What is responsive email design?
Responsive design is an approach for web and email designs that ensures the user has the best experience possible, regardless of whatever device they are viewing.
Often you will find that a website viewed on a normal desktop PC will look a certain way, however once the same site is viewed on a tablet computer or mobile device it will look considerably different.
Responsive design will re-arrange and streamline web and email content for these different devices and screen sizes. It helps to minimise resizing, panning and scrolling by the smartphone or tablet user. It may also involve enlarging smaller text as well as making links and buttons actionable and visible. This gives the user a much simpler experience enabling them to engage with the creative and offer in the email.
Examples of mobile responsive emailsHere is our first example showing the difference between a non-scaled email template on the left and a responsive email template on the right with a simpler single column layout and clearer text and calls-to-action.
Responsive design has become a prominent concern for web developers and email marketers in the last few years, notably since the release of the original iPhone in 2007, which was the first true smartphone. If you’re making the case for responsive emails, check the latest Litmus statistics on emails read on mobile devices which show the dominance of mobile opens.
How has it Responsive Email Design evolved?Responsive websites have been around for a number of years, however responsive emails are fairly new. For instance only two years ago responsive emails were particularly limited in structure, where two 50/50 columns were arranged into one, with limited functionality.
Now, the possibilities of responsive emails are almost endless. You are now able to include multiple columns of varying sizes, hide and show navigation, include responsive elements inside responsive elements and expanding CTAs.
Below you can see in this next example of a responsive email, with two different sized columns, each with a call to action button within the articles. On a smartphone, the panels stack on top of each other, expanding to fill the width of the device, the buttons expand so that they are clear and actionable and the social icons slot underneath the buttons.
Responsive design techniquesThere are a variety of techniques which are recommended when creating responsive design websites and emails.
Fully responsive
Fully responsive emails offer a great user experience on all devices by rearranging content into a single column.
Scalable
Scalable design doesn’t rearrange the email, it simply resizes it to fit onto a smaller screen as shown by this example.
Mobile First
Mobile First is a philosophy that highlights the need to prioritise the mobile context when creating user experience.
You may also want to consider hide/show navigation, dropdown menus, stack top, fixed position CTA and progressive disclosure.
How does it Responsive Design work?In the CSS code of the email there is something called a media query.
These clever CSS tags can check out the device that’s opened the email to find out:
The width and height of the device
The width and height of the available space
Device orientation
Pixel density
Now, armed with all this information, the designer can specify how the elements of the email will be laid out under certain conditions.
For example, if you wanted your content text to show up bigger on small devices you could put:
@media only screen and (max-device-width: 480px) { .content {font-size:20px !important;} }This would make the font size nice and big on small devices, but stay normal size on bigger devices.
This can be extended to change the layout of the whole email. The ‘wrapper’ can be made thinner on small devices, and If the sections in the email are coded in the right way, they will shift to stack underneath each other.
LimitationsResponsive design emails do not display correctly in all email clients. Some email clients strip out any CSS styles and media queries (which are required in order for RD emails to work) so they will not render correctly.
This is obviously a big problem, as the email will just display in its original format on all platforms, thus making all of your hard work developing it to be responsive, useless.
Designs have to be kept pretty basic in order to be able to flex and mould to different styles, which could mean losing some of the vibrancy and exciting designs that people are becoming more and more expectant of.
It is also worth noting that not every email can be ‘transformed’ into a responsive email. If an email is to be responsive it needs to be designed and built in a particular way; it must conform to a grid layout and image heavy designs with overlapping components (such as below) will not work.
ConclusionBy taking the time to learn and adopt responsive design as early as possible, you will save yourself time, money and resources in the future. Not to mention continuing to keep the customer happy and dedicated to your brand.
To find out more about how you can use responsive design in your email marketing, check out our detailed whitepaper on responsive email design.
Top Big Data Tools Of 2023 For Data Analytics And Business Intelligence
To make the colossal data talk intelligent, enterprises need big data frameworks
While we all would have heard that data is the new oil, the question that grips enterprises is how to mine this valuable oil for its business gains? Data resides in massive warehouses, pipelines and lakes, and to bridge the gap between enterprises and business markets big data frameworks form an imperative channel helping the businesses to rise to the call and move towards a data-driven future. To address the data needs to the future, Analytics Insight compiles the top big data tools of 2023 for Apache Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model. Hadoop is a highly scalable storage platform; it can store and distribute big data sets across hundreds of inexpensive servers. Users can increase the size of our cluster by adding new nodes as per requirement without any downtime.
MongoDB is the next-generation database helping businesses transform their operations by harnessing the power of data open-source document database and leading NoSQL database. MongoDB’s greatest strength is its robustness, capable of far more flexibility than Hadoop, it is written in C++.
Pentaho Apache Cassandra is the leading NoSQL, distributed database management system, well suited for hybrid and multi-cloud environments. Cassandra is a highly scalable, high-performance distributed database designed to handle large amounts of data.
While we all would have heard that data is the new oil, the question that grips enterprises is how to mine this valuable oil for its business gains? Data resides in massive warehouses, pipelines and lakes, and to bridge the gap between enterprises and business markets big data frameworks form an imperative channel helping the businesses to rise to the call and move towards a data-driven future. To address the data needs to the future, Analytics Insight compiles the top big data tools of 2023 for data analytics and business intelligence-Apache Hadoop is an open-source software framework for storing data and running applications on clusters of commodity hardware. It provides a software framework for distributed storage and processing of big data using the MapReduce programming model. Hadoop is a highly scalable storage platform; it can store and distribute big data sets across hundreds of inexpensive servers. Users can increase the size of our cluster by adding new nodes as per requirement without any downtime.MongoDB is the next-generation database helping businesses transform their operations by harnessing the power of data open-source document database and leading NoSQL database. MongoDB’s greatest strength is its robustness, capable of far more flexibility than Hadoop, it is written in C++.Pentaho Big Data analytics is a comprehensive, unified solution that supports an enterprise’s entire big data life-cycle. Pentaho Big Data analytics offers full array of analytics solutions that include data access and integration to data visualization and predictive analytics.Apache Cassandra is the leading NoSQL, distributed database management system, well suited for hybrid and multi-cloud environments. Cassandra is a highly scalable, high-performance distributed database designed to handle large amounts of data.RapidMiner is a software platform for bigdata science teams that unites data prep, machine learning , and predictive model deployment. RapidMiner is free of charge, open source software tool for data and text mining and easily the most powerful and intuitive graphical user interface for the design of analysis processes.
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