Posts Tagged ‘Business’

Crossing the Development to Production Divide

In this post we’ll give an overview of obstacles we’ve faced (you may be able to relate) and talk about solutions to overcome these obstacles.

Managing Uncertainty

Being data-driven is the best way to manage uncertainty—but achieving that is about far more than bringing a bunch of numbers to your latest meeting.

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Exploring the Possibilities of Artificial Intelligence

In this interview, Paco Nathan discusses making life more livable, AI fears, and more.

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Merging Data Science and Business

Business leaders cannot afford to ignore their organization’s data—rather, that data should be used to make informed decisions. In this post, Principal Data Scientist Tom Fawcett and Professor of Data Science Foster Provost discuss how businesses can make the most of their analytical teams. Tom and Foster are the authors of Data Science for Business. What aspect […]

Becoming Data-Driven: A Conversation with Sanjay Mathur

Making truly data-driven decisions can be a daunting task. Learn the first steps businesses can take, and why the effort is worthwhile.

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Taming Busyness

Time will control if not controlled. In this post we share some tips for better time management.

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Data Opportunities in Health Care

We share high-level observations on how your organization can start with what you know about patients to build better, stronger patient relationships.

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Noteworthy Links: Data-Driven Marketing

Is your company using data-driven marketing? Below are some links that illustrate data’s importance in marketing, including a concrete example in the travel industry.

Space Shuttle Problems: Long-term Planning Amid Changing Technology

How can you manage your implementation in a way that allows you to take maximum advantage of technology innovation as you go, rather than having to freeze your view of technology to today’s state and design something that will be outdated when it launches? You must start by deciding which pieces are necessary now, and which can wait.

Effective Data Leadership

The First 100 Days: FAQs

Most companies are still trying to figure out how their data leaders can make a real impact in a short time frame. Here are some FAQ for CDOs.

From Defense to Offense: Shifting the CDO Mindset

From Defense to Offense: Shifting the CDO Mindset

Regardless of industry, size, maturity, or a variety of other organizational factors, CDOs are converging around some core ideas of what their role is—and what that means for their mission.

100 Days Data Revolution

You Have 100 Days to Lead a Data Revolution

We believe CDOs have 100 days to get this digital transformation rolling downhill and towards a successful conclusion. If the basic building blocks aren’t in place and moving towards real progress by then, there is trouble ahead.

Building a Data-Driven Culture

By far the most difficult thing in being data-driven is getting the right data in the first place.

Becoming a Data Change Agent

Webinar: Becoming a Data Change Agent—the First 100 Days

Sanjay Mathur, CEO and cofounder of SVDS and Scott Kurth, VP of Advisory Services, will discuss what you can do to begin leading a change in how data is used inside your organization.

How to Grow Your Data Capital

How to Grow Your Data Capital

The ability to generate future potential through operating your current business is the ultimate definition of what it means to be data-driven: when value, and not solely decision-making, is being driven by data.

Ways the C-Suite Can Embrace Failure

Three Ways the C-Suite Can Embrace (Gulp) Failure

You can’t avoid failure, but you can learn to cope and make the most of it.

Five Business Challenges Data Can Solve

In today’s business climate, executives understandably want to see both early results and a long-term direction. A data strategy helps meet business needs, while ordering work in a way that respects constraints and creates future opportunities.

Getting Value Faster with a Data Strategy

In this post, we’ll look at the components that make up a modern data strategy, and how they work to bring you business value quickly

From Data Managers to Platform Providers

We are seeing evidence of an important pattern: the creation of internal service platform to meet the data science and analytic needs of organizations.

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Noteworthy Links: Artificial Intelligence

Interested in how AI is being applied out in the real world? Check out these stories, ranging from fighting food insecurity, to a very low-level version of a butler.

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SVDS Data Strategy: New Video Available

We’re happy to announce that we have produced Developing a Modern Enterprise Data Strategy as a video product, available from O’Reilly Media and Safari Books Online.

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How Mature Are Your Data Capabilities?

In a previous post on data maturity, we discussed a company that was just embarking on a transformation: launching a new services business and building data capabilities to support that business. But what if you’re not starting from the beginning?

How to Choose a Data Format

In this post we provide a framework for choosing a data format, and provide some example use cases.

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Realize the Business Power of Your Data with DevOps

If you are on the path to being a data-driven company, you have to be on the path to being a development-enabled company.

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Data Pipelines in Hadoop

In this post we’ll look at some real world examples of managing headaches while moving to Hadoop.

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Minding Your Data Gaps

In this post we look at how to visualize data gaps, and engage senior leadership.

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Understanding Your Data Maturity

No two situations are the same, but we have found one truism: making a data transformation successful requires much more than simply getting the technology right.

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Building Connections

In this interview, we talk about extending the concept of interoperability between multiple libraries in Python into other programming languages, and the pain points this will address.

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Is Your Customer Journey Set Up for Success?

In this post, we’ll walk through some examples of how we have seen data capabilities determine the success of customer journey initiatives for our clients.

Is Your Data Holding You Back?

In this post, we will discuss what “real” gaps in data look like and how to find them in your organization.

Spark Summit: Ignition in the Enterprise

We are excited to announce for Spark Summit 2017 in San Francisco, Edd Wilder-James will be joining Reynold Xin as co-chair of the Spark Summit program.

Four Data Capabilities for Telecommunications

This post looks at four business analysis capabilities that connect the dots between promising applications of data assets for telecommunications companies.

Introducing a Value-Centered View of Data Maturity

In this post we introduce our new data maturity model, and include a link to the assessment.

Models: From the Lab to the Factory

Deploying a model without a rigorous process in place has consequences. We go over techniques for successful deployment and management.

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Building Tech Communities

In this interview, Travis talks about how to balance enterprise and open source, as well as what it takes to build a community.

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The Value of Exploratory Data Analysis

In this post, we will give a high level overview of what EDA typically entails and then describe three of the major ways EDA is critical to successfully model and interpret its results.

Driving Product Engagement with User Behavior Analytics

In this post, we will look at driving product engagement with behavioral data, as well as building an integrated analytical environment.

Data-Driven User Engagement

The promise of data and analytics for product companies is that they can help you understand usage, and improve your ability to build, deploy, and service products to customers much more accurately and efficiently. In this post, we look at understanding the customer life cycle.

Breaking Down Communication Barriers in Tech

Travis and I discuss breaking down silos, the importance of effectively communicating about cutting-edge technology, and where Anaconda is going next.

The ROI of a Modern Data Strategy

In this post we look at the three components you can use to determine your data strategy’s ROI.

Data Opportunities in Insurance

In this post we explore how data is changing the insurance industry, through the lens of auto insurance underwriting.

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Noteworthy Links: Using Data Creatively

Being data-driven means breaking down silos within organizations, promoting communication, and being deliberate about the data you collect and use. Here are five articles that illustrate how modern organizations are tackling this challenge.

Trends in Data-Driven IoT

In this post, we go over some emerging themes in IoT and give you a solid place to start in understanding the ecosystem.

How Do You Build a Data Product?

Data products are those whose core functions leverage data, be they physical products, software, or services. Edd dives deeper into building data products here.

Big Data is About Agility

Any technology is only as good as the way in which you use it.

When Decisions Are Driven by More Than Data

Stories are all about relationships, and so are data. It’s not the datapoints, or the nodes, that matter—it’s the edges between them that paint the trendlines and allow us to say something about our future.

The Venn Diagram of Data Strategy

Data strategy matters to both business and tech. It’s a problem that sits in the center of a Venn diagram, and if we get stuck thinking of those two domains as existing solely in completely separate silos, we’ll lock ourselves out of that key middle ground where the really important problems get solved.

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Noteworthy Links: Fintech Industry

This post shares links that illustrate how some financial services organizations are using data science and data analytics to innovate and improve their products and services and become more data-driven.

The One Key Skill of the CDO

In this post, Julie talks about the necessary skills for a CDO, as learned through her research for the “Understanding the Chief Data Officer” report.

We Need a New Data Architecture: What Next?

In this revamped classic, Edd looks at the challenges of moving forward with a new architecture, and where you need to start.

Beyond Privacy and Security in a Connected World

In this post, we’ll cover the difference between data rights versus privacy and security, and you’ll be introduced to some projects that show how the technology industry is evolving to develop scalable solutions around intersecting concerns in data management and authorization.

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Predix Transform 2016

We detail insights learned while attending the recent Predix Transform conference.

SVDS Strengthens Executive and Advisory Team

I’m excited to announce two new members of our team: Antony Falco (VP, Product & Innovation) and Nayla Rizk (Advisor).

5 Ways to Facilitate Failure

Failure is appealing as a stepping stone along the path to innovation, but it’s very scary in practice—especially when you can’t yet see where the path is leading. We’d like to suggest the following five guidelines as a place to start.

Why You Need a Data Strategy

While it would be great for everyone if you could just “buy a Hadoop” and skip straight to “Profit!”, in reality there’s a lot of work involved, and 95% of it is unique to your business. How do you determine the steps of a big data project, and ensure it delivers results early? This post talks about where to start.

CDO FAQ

This month’s Throwback Thursday feature looks at some frequently asked questions about the role of the Chief Data Officer. An updated report will be forthcoming in September.

Hadooponomics Interview: The Evolution of Data

VP of Strategy Edd Dumbill was recently interviewed by James Haight on the Hadooponomics podcast. Find the audio and transcript here.

Building Data Systems: What Do You Need?

In this post, we’re going to go over the capabilities you need to have in place in order to successfully build and maintain data systems and data infrastructure.

One Year Later, Observations on the Big Data Market

Back in 2014, we discussed how the market looked like on our first birthday. As we hit three years, it seems like an appropriate time to look back on those observations, and see where we are now.

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Noteworthy Links: Hadoop Edition

Hadoop is 10 years old! Check out these related links.

Working Effectively in Data Science Teams

On April 21st, SVDS hosted the WWCode Silicon Valley chapter in our Mountain View office; we gave a talk titled Working Effectively in Data Science Teams.

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Becoming Data Driven: A Conversation with Sanjay Mathur

CEO Sanjay Mathur recently took time to discuss first steps businesses can take when becoming data driven, and why the effort is worthwhile. You can find the full interview here.

IoT and Resilient Systems

We believe there are clearly some compelling value propositions that come from integrating the visibility from the IoT into applications that help understand and manage the state of complex systems. With the internet of things, the more things, really, the merrier.

Sanjay Mathur at Cultivate

Cultivating an Experimental Enterprise

Last month, SVDS CEO Sanjay Mathur spoke at O’Reilly’s conference on engineering leadership, Cultivate, about Eating Change for Breakfast. While on site at the event, he spoke with Radar’s managing editor, Jenn Webb, about creating an Experimental Enterprise.

Successful Data Teams are Agile and Cross-Functional

I was always struck by how the Silicon Valley startups I worked with could do so much more, with so much less. I’ve come to learn, sometimes the hard way, that there are critical elements of the “who” and the “how,” particular to those start-up teams, that contribute to their success. It’s why we named our company for Silicon Valley: a lightweight, agile approach to data-driven product development was pioneered here.

Understanding Modern Data Systems

In this post, Fausto talks about the characteristics that differentiate data infrastructure development from traditional development, and highlights key issues to look out for.

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Noteworthy Links: Strata Edition

Here are some links from around the internet to get you in a Strata state of mind.

What Your Board of Directors Wants to Know About Big Data

In Fall 2014, Sanjay spoke about “Unlocking Business Opportunity from Big Data” to a group of former CEOs and senior business executives. This Throwback Thursday post shares some questions they had, and advice he gave.

Five Business Challenges Data Can Solve

In today’s business climate, executives understandably want to see both early results and a long-term direction. A data strategy helps meet business needs, while ordering work in a way that respects constraints and creates future opportunities.

Crossing the Development to Production Divide

We know what it’s like to deal with complex production deployments that cover the gamut from infrastructure upgrades, to feature deployments, to data migrations, where each step threatens to derail the plan. In this post she’ll give an overview of obstacles she’s faced (you may be able to relate) and talk about solutions to overcome these obstacles.

The Data Platform Puzzle

Building or rebuilding a data platform can be a daunting task, as most questions that need to be asked have open-ended answers. This post aims to help.

King of the Hill? The Perils and Possibilities for a CDO

The role of the Chief Data Officer (CDO) continues to gain attention and proliferate as more companies hire them, and others wonder with increasing anxiety whether they should, too. The promise of data and the business value it can unlock is tantalizing, but also somewhat confusing to many organizations — the role of the CDO is, too.

Data: What Industry Wants

Since launching Silicon Valley Data Science, we hear three issues more often than anything else in the conversations we have with our clients: handling data overload, choosing analytic approaches, and having the right skills and resources. Let’s take a look at these.

Can You Hear Me Now? How to Communicate with Remoties: Part 4

Parts 1 through 3 of this series looked at our preferred scenarios and best practices for instant messaging, video conferencing, and phone meetings. This final installment focuses on email.

Can You Hear Me Now? How to Communicate with Remoties: Part 3

Parts 1 and 2 of this series looked at our preferred scenarios and best practices for instant messaging and video conferencing. This post focuses on phone meetings.

Data Day and Graph Day Texas Slides

Check out the slides from our recent presentations at Data Day TX and Graph Day.

Space Shuttle Problems: Long-term Planning Amid Changing Technology

How can you manage your implementation in a way that allows you to take maximum advantage of technology innovation as you go, rather than having to freeze your view of technology to today’s state and design something that will be outdated when it launches? You must start by deciding which pieces are necessary now, and which can wait.

Can You Hear Me Now? How to Communicate with Remoties: Part 2

In Part 1 of this series on effective communication with remote colleagues, I looked at our preferred scenarios and best practices for instant messaging. This week, I’m sharing some thoughts about video conferencing.

Data Strategy in a World of Big Data

Silicon Valley Data Science has designed a new method to create a data strategy that overcomes limitations of conventional approaches. Recent advances in communications, networking, data, and analytics technologies are changing the way leading companies organize around, architect for, and deliver data-driven capabilities.

Can You Hear Me Now? How to Communicate with Remoties: Part 1

We believe that when even one colleague is remote, then we’re all remote — from someone. This post is the start of a four-part series covering modern communication tools, beginning with some hard-won lessons about etiquette and best practices for instant messaging; and future posts will cover video conferencing, phone meetings, and email.

The “Why?” Behind a Modern Enterprise Data Strategy

Scott Kurth, John Akred, and Julie Steele discuss developing a modern data strategy during an Ask Me Anything at Strata NY 2015. This was originally posted on the O’Reilly Media Data blog.

Building a Data-Driven Culture

When we talk about being data-driven, what we actually mean is that we would like to make decisions based on the best data, made available to the most people. What does that mean for business, and how do you start?

Getting Value Faster with a Data Strategy

Companies that demand immediate technical results often don’t want to take the time to develop a data strategy up front, but it will actually accelerate business value for your company. In this post, I’ll describe how these components fit together and work to bring you business value quickly.

Becoming Data-Driven: Are You up to the Challenge?

If you feel ready to start building your own Experimental Enterprise, these are some questions you need to ask of your organization, and traps you need to avoid.

Driving the Digital Transformation in Retail and Hospitality

This article highlights 12 initiatives centered on big data and analytics, which leading shopping mall, retail, and hospitality companies are pursuing as part of their digital transformation.

Optimizing Your Digital Strategy

We know that digitization is a disruptive force that can help your company stand out from the competition. It needs to be a priority, but where should you start?

How Do You Build a Data Product?

Data products are the reason data scientists are lately treated like rockstars. Along the way at SVDS, we’ve learned a few things about data products, which we shared as we told the story of the Caltrain Rider app.

Valuing Data is Hard

This article is the first in a series that I will be posting on the topic of thinking about data as an intangible asset, and how to value it as such.

Use Cases for Apache Spark

The Apache Spark big data processing platform has been making waves in the data world, and for good reason.

CDO FAQ

The CDO is still a relatively new position and there isn’t yet a strong consensus about the exact job description, reporting structure, or qualification set.

5 Ways to Facilitate Failure

Failure is appealing as a stepping stone along the path to innovation, but it’s very scary in practice—especially when you can’t yet see where the path is leading. We’d like to suggest the following five guidelines as a place to start.

The Venn Diagram of Data Strategy

When it comes to data strategy, many people read the “data” part and automatically dump the topic in the “technical” bucket.

5 Reasons Why Spark Matters to Business

It’s been hard to miss Apache Spark in the last year. Many systems integrators, including ourselves, have also been enthusiastic about it.

What Your Board of Directors Wants to Know About Big Data

I recently spoke about “Unlocking Business Opportunity from Big Data” to a group of former CEOs and senior business executives. Here are some questions they had.

Why You Need a Data Strategy

This is a great time for big data in business.

One Year Later, Observations on the Big Data Market

We recently celebrated our first birthday here at Silicon Valley Data Science.

Building the Experimental Enterprise

What does it mean to be data-driven? It’s not about finding analytical fairy dust that you can sprinkle to make everything better.

Data Strategy in a World of Big Data

Silicon Valley Data Science has designed a new method to create a data strategy to overcome limitations of conventional approaches.

Successful Data Teams are Agile and Cross-Functional

A key element of Silicon Valley software product delivery teams is an agile delivery methodology—oil to the water of firm fixed price contracts.

Data: What Industry Wants

What should you do with data? That’s the overwhelming question facing industry today.

Welcome to Silicon Valley Data Science

We created our company to help bring data-driven innovation from Silicon Valley to the business world.