Data Driven Chat: “The potential of data is not realized in most organizations”

Academic, Educator, Consultant, and Blogger Ganna Pogrebna started Data Driven Chat to explore the many interesting aspects of behavioural data science including human behaviour, data science and AI. Ganna Pogrebna is Professor of Behavioral Analytics and Data Science and a Lead of Behavioral Data Science strand at the Alan Turing Institute — the national centre for AI and Data Science in London (UK). The Data Driven Chat is the official podcast of the Behavioral Data Science Special Interest Group at Turing.

Data scientist turned tech entrepreneur Briana Brownell is the founder and CEO of Pure Strategy Inc. Using the leading edge technology in natural language processing, machine learning and neural networks Pure Strategy’s Automated Neural Intelligence Engine (ANIE) gives organizations the insights needed to make decisions confidently.

The conversation originally appeared on Data Driven Chat. Click here to listen.

This is Part 2 of a three-part series. You can read Part 1 and Part 3 here.

Ganna: We’ll come back to the topic of Covid-19 a bit later but first, I want to ask you — a lot of people who listen to this podcast are aspiring data scientists and trying to find a place in data science. Can you give some tips to people who want to get into this kind of liaison between decision science and data science? Where do they start? What do they need to do?

Briana: I think that the underappreciated skill in data science is communication and business acumen. Having the technical skills to run the models and be able to do those technical things like programming in Python and understanding databases are really important but the truth is, when you’re working in industry, it’s all about how that analysis can impact the metrics that the business cares about. So if you are not able to link what you’re doing to a goal that the business has or an outcome that’s really important, it’s really really hard to get resources and it’s difficult to be effective if you’re doing something that is not a high priority within the business.

“I think that the underappreciated skill in data science is communication and business acumen.”

This is where I see data scientists really struggling. In an organization, when you do modelling with data that isn’t linked to any kind of outcome, these teams often get pushed to the side or they get minimized within the organization. It’s so sad because data science can be so impactful.

Technical skills extremely important but being able to communicate the value of that to the business is even more important.

Ganna: Yeah certainly — and you mentioned that what is also important is the problem statements, right? How do you support answering important questions for business? That’s another thing that everybody needs to be able to do as an aspiring data scientist. How do we approach data in the business context? Why do you think understanding data is particularly important for businesses now? Do you think the potential of data is still not realized?

Briana: Great questions. I do think that the potential of data is not realized in most organizations and there are several reasons for this. The first one is siloed data within organizations. I’ve worked with organizations where they had multiple teams that were essentially collecting the same information but because of political reasons within the organization, they were unwilling to share that data back and forth across departments. I think that’s really dangerous because that’s a sign of a poorly functioning organization. If there’s no way to share data across different groups in the organization, that’s always a challenge.

Second, individuals often don’t know what’s possible with data, especially when you get to the c-suite and the executive level. All of these techniques are so new it’s difficult to know exactly what the payoff might be in doing a larger scale analysis project within the organization. Sometimes the project essentially is a failure and sometimes you can get additional insight but you don’t necessarily know until you try. That’s sometimes a real barrier when executives want to see certain ROI on their data programs.

Ganna: And how did data change the business landscape in the last few years or did it change? Do you observe the change?

Briana: I think that the biggest change in how data is used in organizations is that, say 10 years ago, it was rare to have a data project make it all the way up to the c-suite or the board level. The executives would never actually see any results of a data analytics project. They would be within the marketing group, they might be within the IT group or they might be within the sales group. They were kept within those small silos and they would never make it up to the executive level in the organization.

But after people started seeing the value of it, we started seeing buy-in at the highest levels of the organization. Not only were executives asking for better data, better analytics, better modelling, but boards of directors were asking for it. You saw a board mandate saying “We need to have some kind of data-driven metric for each quarter. We need to see this metric.”

“All of this information went to the highest levels of the organization and that, I think, was a really new thing.”

All of this information went to the highest levels of the organization and that, I think, was a really new thing. Before, a lot of financial metrics were always reported to the board and the executive but now the marketing metrics, the operations research metrics, all of these areas are finding themselves in the boardroom and I think that that’s a really positive sign.

#business-strategy #data-science #technology #business #data #data analysis

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Data Driven Chat: “The potential of data is not realized in most organizations”
 iOS App Dev

iOS App Dev

1620466520

Your Data Architecture: Simple Best Practices for Your Data Strategy

If you accumulate data on which you base your decision-making as an organization, you should probably think about your data architecture and possible best practices.

If you accumulate data on which you base your decision-making as an organization, you most probably need to think about your data architecture and consider possible best practices. Gaining a competitive edge, remaining customer-centric to the greatest extent possible, and streamlining processes to get on-the-button outcomes can all be traced back to an organization’s capacity to build a future-ready data architecture.

In what follows, we offer a short overview of the overarching capabilities of data architecture. These include user-centricity, elasticity, robustness, and the capacity to ensure the seamless flow of data at all times. Added to these are automation enablement, plus security and data governance considerations. These points from our checklist for what we perceive to be an anticipatory analytics ecosystem.

#big data #data science #big data analytics #data analysis #data architecture #data transformation #data platform #data strategy #cloud data platform #data acquisition

Uriah  Dietrich

Uriah Dietrich

1618521240

Only Data-Minded Marketers and Market-Minded Developers Can Achieve Data Driven Marketing

Using data as a part of your marketing plan can have a tremendous impact on your overall results, which is why data-driven marketing has become the standard for many agencies.

However, data-driven marketing may require many businesses to rethink the way they work, especially when it comes to cooperation between their various teams.

You may have heard about the concept of collaboration and automating processes before - something referred to as webops. Now an increasing number of companies are throwing marketing into the mix.

Among the most important factors is a close working relationship between marketing and web development teams if a business wants to make the most of data-driven marketing.

#data-driven #data-driven-marketing #web-development #marketing-data-science #teamwork #data-driven-development #data-driven-decision-making #webops

Zachary Palmer

Zachary Palmer

1555901576

CSS Flexbox Tutorial | Build a Chat Application

Creating the conversation sidebar and main chat section

In this article we are going to focus on building a basic sidebar, and the main chat window inside our chat shell. See below.

Chat shell with a fixed width sidebar and expanded chat window

This is the second article in this series. You can check out the previous article for setting up the shell OR you can just check out the chat-shell branch from the following repository.

https://github.com/lyraddigital/flexbox-chat-app.git

Open up the chat.html file. You should have the following HTML.

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8" />
    <title>Chat App</title>
    <link rel="stylesheet" type="text/css" media="screen" href="css/chat.css" />
</head>
<body>
    <div id="chat-container">
    </div>
</body>
</html>

Now inside of the chat-container div add the following HTML.

<div id="side-bar">
</div>
<div id="chat-window">
</div>

Now let’s also add the following CSS under the #chat-container selector in the chat.css file.

#side-bar {
    background: #0048AA;
    border-radius: 10px 0 0 10px;
}
#chat-window {
    background: #999;
    border-radius: 0 10px 10px 0;
}

Now reload the page. You should see the following:-

So what happened? Where is our sidebar and where is our chat window? I expected to see a blue side bar and a grey chat window, but it’s no where to be found. Well it’s all good. This is because we have no content inside of either element, so it can be 0 pixels wide.

Sizing Flex Items

So now that we know that our items are 0 pixels wide, let’s attempt to size them. We’ll attempt to try this first using explicit widths.

Add the following width property to the #side-bar rule, then reload the page.

width: 275px;

Hmm. Same result. It’s still a blank shell. Oh wait I have to make sure the height is 100% too. So we better do that too. Once again add the following property to the #side-bar rule, then reload the page.

height: 100%;

So now we have our sidebar that has grown to be exactly 275 pixels wide, and is 100% high. So that’s it. We’re done right? Wrong. Let me ask you a question. How big is the chat window? Let’s test that by adding some text to it. Try this yourself just add some text. You should see something similar to this.

So as you can see the chat window is only as big as the text that’s inside of it, and it is not next to the side bar. And this makes sense because up until now the chat shell is not a flex container, and just a regular block level element.

So let’s make our chat shell a flex container. Set the following display property for the #chat-window selector. Then reload the page.

display: flex;

So as you can see by the above illustration, we can see it’s now next to the side bar, and not below it. But as you can see currently it’s only as wide as the text that’s inside of it.

But we want it to take up the remaining space of the chat shell. Well we know how to do this, as we did it in the previous article. Set the flex-grow property to 1 on the #chat-window selector. Basically copy and paste the property below and reload the page.

flex-grow: 1;

So now we have the chat window taking up the remaining space of the chat shell. Next, let’s remove the background property, and also remove all text inside the chat-window div if any still exists. You should now see the result below.

But are we done? Technically yes, but before we move on, let’s improve things a little bit.

Understanding the default alignment

If you remember, before we had defined our chat shell to be a flex container, we had to make sure we set the height of the side bar to be 100%. Otherwise it was 0 pixels high, and as a result nothing was displayed. With that said, try removing the height property from the #side-bar selector and see what happens when you reload the page. Yes that’s right, it still works. The height of the sidebar is still 100% high.

So what happened here? Why do we no longer have to worry about setting the height to 100%? Well this is one of the cool things Flexbox gives you for free. By default every flex item will stretch vertically to fill in the entire height of the flex container. We can in fact change this behaviour, and we will see how this is done in a future article.

Setting the size of the side bar properly

So another feature of Flexbox is being able to set the size of a flex item by using the flex-basis property. The flex-basis property allows you to specify an initial size of a flex item, before any growing or shrinking takes place. We’ll understand more about this in an upcoming article.

For now I just want you to understand one important thing. And that is using width to specify the size of the sidebar is not a good idea. Let’s see why.

Say that potentially, if the screen is mobile we want the side bar to now appear across the top of the chat shell, acting like a top bar instead. We can do this by changing the direction flex items can flex inside a flex container. For example, add the following CSS to the #chat-container selector. Then reload the page.

flex-direction: column;

So as you can see we are back to a blank shell. So firstly let’s understand what we actually did here. By setting the flex-direction property to column, we changed the direction of how the flex items flex. By default flex items will flex from left to right. However when we set flex-direction to column, it changes this behaviour forcing flex items to flex from top to bottom instead. On top of this, when the direction of flex changes, the sizing and alignment of flex items changes as well.

When flexing from left to right, we get a height of 100% for free as already mentioned, and then we made sure the side bar was set to be 275 pixels wide, by setting the width property.

However now that we a flexing from top to bottom, the width of the flex item by default would be 100% wide, and you would need to specify the height instead. So try this. Add the following property to the #side-bar selector to set the height of the side bar. Then reload the page.

height: 275px;

Now we are seeing the side bar again, as we gave it a fixed height too. But we still have that fixed width. That’s not what we wanted. We want the side bar (ie our new top bar) here to now be 100% wide. Comment out the width for a moment and reload the page again.

So now we were able to move our side bar so it appears on top instead, acting like a top bar. Which as previously mentioned might be suited for mobile device widths. But to do this we had to swap the value of width to be the value of height. Wouldn’t it be great if this size was preserved regardless of which direction our items are flexing.

Try this, remove all widths and height properties from the #side-bar selector and write the following instead. Then reload the page.

flex-basis: 275px;

As you can see we get the same result. Now remove the flex-direction property from the #chat-container selector. Then once again reload the page.

Once again we are back to our final output. But now we also have the flexibility to easily change the side bar to be a top bar if we need to, by just changing the direction items can flow. Regardless of the direction of flex, the size of our side bar / top bar is preserved.

Conclusion

Ok so once again we didn’t build much, but we did cover a lot of concepts about Flexbox around sizing. 

#css #programming #webdev 

Gerhard  Brink

Gerhard Brink

1620629020

Getting Started With Data Lakes

Frameworks for Efficient Enterprise Analytics

The opportunities big data offers also come with very real challenges that many organizations are facing today. Often, it’s finding the most cost-effective, scalable way to store and process boundless volumes of data in multiple formats that come from a growing number of sources. Then organizations need the analytical capabilities and flexibility to turn this data into insights that can meet their specific business objectives.

This Refcard dives into how a data lake helps tackle these challenges at both ends — from its enhanced architecture that’s designed for efficient data ingestion, storage, and management to its advanced analytics functionality and performance flexibility. You’ll also explore key benefits and common use cases.

Introduction

As technology continues to evolve with new data sources, such as IoT sensors and social media churning out large volumes of data, there has never been a better time to discuss the possibilities and challenges of managing such data for varying analytical insights. In this Refcard, we dig deep into how data lakes solve the problem of storing and processing enormous amounts of data. While doing so, we also explore the benefits of data lakes, their use cases, and how they differ from data warehouses (DWHs).


This is a preview of the Getting Started With Data Lakes Refcard. To read the entire Refcard, please download the PDF from the link above.

#big data #data analytics #data analysis #business analytics #data warehouse #data storage #data lake #data lake architecture #data lake governance #data lake management

Gerhard  Brink

Gerhard Brink

1622611140

83% Of Data-Driven Organisations Gained Critical Business Advantages During Pandemic

Tableau Software has announced a new study developed in conjunction with YouGov, to explore how organisations in the Asia Pacific and Japan (APJ) have used data during COVID pandemic. The survey noted that data-driven companies in India are more resilient and confident during the pandemic, compared to non-data-driven companies.

According to the data, 83% of data-driven companies in India have reported reaping critical business advantages during the pandemic. Along with that, the survey revealed that 62% of organisations believe that leveraging data can provide multiple and vast benefits to businesses, including more effective communication with stakeholders. Another 58% organisation noted making faster strategic business decisions with 56% witnessing increasing cross-team collaboration. Further, the data stated that 48% of organisations have managed to make their business more agile.

Being data-driven is also allowing organisations to be more optimistic towards this turbulent time. The survey stated that around 76% of organisations are confident and looking forward to a promising future for their business.

While data-driven companies are reaping its benefits, the non-data-driven companies are facing massive challenges in grasping the importance of data. This demonstrates the prevailing disconnect of how businesses leveraging data and the potential for organisations to benefit from a more data-driven approach.

#news #data advantages #data driven companies #data driven decisions india #data driven organisation #data driven organisations gained advantage amid pandemic