5 great Data Strategy Resources

Data Science 101

I am putting together some of my own resources on Data Strategy. What is a Data Strategy? – various definitions of a data strategy The 5 essential Components of a Data Strategy – a detailed whitepaper(PDF) from SAS How to Create a Successful Data Strategy – a detailed report from MIT How Do You Develop a Data Strategy (including 6 steps) – by Bernard Marr, He has created more data strategies than anyone, so his advice is rock-solid.

The peterjamesthomas.com Data Strategy Hub

Peter James Thomas

Today we launch a new on-line resource, The Data Strategy Hub. This presents some of the most popular Data Strategy articles on this site and will expand in coming weeks to also include links to articles and other resources pertaining to Data Strategy from around the Internet.

How Data Strategy and Machine Learning Intersect

TDAN

Are you worried about the security of your valuable data? Well, with the massive growth of business data in terms of complexity, volume and size, it is basic for worldwide associations to build up a strong data technique to address the main business needs.

The Insights Beat: Save Your Data Strategy From A Nosedive

Srividya Sridharan

This month’s Insights Beat focuses on the latest research in our insights-driven playbook; showcases multiple data, analytics, and machine-learning vendor evaluations; and shines a light on B2B analytics techniques. Is Your Data Strategy Lacking?

Data Strategy at Strata Data Conf New York

Perficient Data & Analytics

It’s no secret that data is a massive asset when it comes to making better business decisions. But gaining the valuable insights required to make those decisions requires quality data that you can trust. And to accomplish this you need a data strategy.

ISPs Use Holistic Big Data Strategy To Shed Customer Cynicism

Smart Data Collective

ISPs are using data analytics in a variety of ways. Many consumers may be concerned about this, because they are known to exploit customer data. However, they use data in a number of benevolent ways, which many people will be okay with. The Power of Data Analytics.

Data Strategy & Insights 2019: Reimagine To Reinvent

Srividya Sridharan

Discover the themes and topics we'll be tackling at this year's Data Strategy & Insights Forum. advanced analytics analytics applications artificial intelligence (AI) customer analytics data insights data management data quality & data governance predictive analytics privacy web analytics promoted

Supercharge your data strategy

Data Insight

By Carmen Vicelich, Data Insight CEO We’re now living in the age of the customer. They show us they know us and use data to add value to their customers’ lives. Data Audit: What is the quality of your data? Knowing where you are today : Where are you on your data journey?

Data Strategy Framework: Handle with CARE

Perficient Data & Analytics

Although information is still not recognized as a line item in a corporate balance sheet (data as an asset), it is still a strategic asset that can drive business value. Therefore, it’s important to have data strategy framework in place. Data Strategy Components.

6 Tips for Building a Training Data Strategy for Machine Learning

KDnuggets

Without a well-defined approach for collecting and structuring training data, launching an AI initiative becomes an uphill battle. These six recommendations will help you craft a successful strategy. 2019 Sep Opinions Advice Machine Learning Training Data

Unleash the power of data with a modern data strategy

IBM Big Data Hub

In my last blog , I stressed the need for a modern data architecture (MDA) to underpin the next generation of the cognitive enterprise , fully harness data using the latest technologies, and sustain a

Closer Than You Think: Data Strategies Across Your Company

Sisense

It doesn’t matter what you think your company does, it’s going to have to turn into a data company soon, if it hasn’t started already, in addition to continuing to provide your core product or service. This may sound daunting, but it’s a good challenge to have and one that will ultimately improve your offering, delight your customers, increase stickiness and adoption , and keep you competitive in a changing data landscape. . Data Strategies for the Uninitiated.

How to Perfect Your Data Culture Recipe

Corinium

One of the first questions new clients generally ask us is: “How do we maximize the value from our data?”. Data Strategy

Voice of the Client: Is AI your priority? Start with a data strategy

IBM Big Data Hub

Intel's Melvin Greer, Senior Principal Engineer and Chief Data Scientist, Americas writes about the data strategy necessary to execute the promises of AI and touts their collaboration with IBM on Cloud Pak for Data.

4 things to consider when setting your fast data strategy

IBM Big Data Hub

In the study, the definition of fast data starts with the technical characteristics mentioned in our last article, but there’s more to that definition

‘Phase Two’ of Europe’s Data Transformation

Corinium

For the UK and Europe’s most data-led companies, phase one of the data transformation is now complete. The strategies have been agreed, the foundations have been laid and the real work is well underway. Data Strategy

‘Phase Two’ of Europe’s Data Transformation

Corinium

For the UK and Europe’s most data-led companies, phase one of the data transformation is now complete. The strategies have been agreed, the foundations have been laid and the real work is well underway. Data Strategy

Three Key Takeaways from CDAO Europe 2019

Corinium

‘Ethics’, ‘strategy’ and ‘collaboration’ were the words on everyone’s lips when 115 data and analytics leaders descended on Berlin for CDAO Europe 2019 last week. Data Strategy Data Ethics Data Architecture

Strategy is Unleashing the Potential of Enterprise Data

Corinium

Enterprises across the globe are waking up to the fact that data is an asset that requires its own strategy. Data StrategyThose that treat it as such are now seeing substantial returns on their investments.

Creating Ecosystems That Support Data Culture

Corinium

The benefits of becoming a data-driven organization are clear. Enterprises that succeed in creating data environments where innovation can flourish tend to have happier customers and generate more revenue as a result. Digital Transformation Data Strategy

Enterprise Data Strategy: The Upside of Scarce Funding

Teradata

In a cost-cutting culture, directly linking data projects to top business initiatives is a good way to keep them from getting clipped. Learn more

Most Data Leaders Are Successfully Driving Organizational Change

Corinium

A fundamental assumption of data science is that making business decisions based on facts yields better and more reliable results than those made using instinct or intuition. Data Strategy

How to Become a Data-Driven Organization

Corinium

It might seem obvious that business decisions based on facts and data consistently deliver better results than those based on instinct or intuition. Data Strategy

Is your data strategy being hurt by these 3 cloud myths?

IBM Big Data Hub

Aberdeen reports that nearly 80% of businesses in their study are now using public cloud. But that still leaves over 20% of businesses that are not availing themselves of the benefits of public cloud

Don’t wait to set your data strategy as Netezza goes end of support

IBM Big Data Hub

Support for Netezza TwinFin and Striper models will end as early as June 2019, potentially leaving business-critical data in unsupported environments. Yet there’s no need for long-time Netezza customers to take those risks. The next stage in Netezza’s evolution has already arrived

Risk 66

Democratizing Data Science Is Not As Risky As Many Fear

DataFloq

The role of Citizen Data Scientist has been showing rapid growth, though not without some controversy. Many people are concerned that democratizing data science is about giving people capabilities way beyond what they are ready to handle and, therefore, ensuring disasters as a result.

How to Build Data Culture and Make Data Your Friend

DataFloq

Sometimes working with big data resembles dining at an “all-you-can-eat” restaurant: you get too much food and are busy swallowing it all without thinking of its quality or your health. You should never forget, though, that data is a double-edged sword and requires cautious handling.

6 Tips For Speeding Up Data Analysis

DataFloq

However, the one thing that they all can agree on is the importance of data. No matter what type of data it is, data is what allows for growth and sustainability within a market. In most cases, faster data analysis means more time to work on other areas. Big Data Strateg

Game-Changing Data Types for Your Business

TDAN

Data has a bad status across various business industries. Data doesn’t need any status as you don’t have the choice to overlook this aspect to maintain efficiency in your organization. It is always considered a boring, freaky, and time-consuming task. But who cares!

Using Predictive Analytics to Ensure Safety in the Manufacturing Environment

DataFloq

1) Analyze past data to predict injury-related trends. News Big Data Strategy

Big Data Means Big Money: Why Businesses That Use Big Data Are More Profitable

DataFloq

Big data has dramatically changed the way most businesses operate. While the power of big data has been around for a while, it is only in recent years that companies across various industries have started leveraging it to its full potential. Big Data Strategy

Why non Data Scientists can lead Data Science teams

DataFloq

I recently discovered a LinkedIn debate over whether or not non-data scientists could lead data science teams. Andy Sutton is Head of Data & Personalisation for Endeavour Drinks in Australia. My Experience of Non-Data Scientists as Leaders. Big Data Strategy

Introduction to Blockchain for DBAs

TDAN

Blockchain is a distributed, shared, permissioned ledger for recording transactions with consensus, provenance, immutability, and finality. It is the technology that drives virtual currencies like Bitcoin. But its potential spans many more industries and use cases than just virtual currencies.

Conceptual Modeling Requires Conceptual and Critical Thinking

TDAN

I am surprised to see a lot of people jumping straight into logical or even physical modeling and skipping conceptual modeling. Don’t they understand the value of conceptual modeling? Don’t they understand the difference between the various levels of modeling? Or do they have cognitive limitations?

Data Professional Introspective: Why You Can’t Create an EDM Strategy

TDAN

Some countries successfully create long-term strategic plans, for examples China’s first 100-year plan was aimed at the elimination of extreme poverty by 2020. In 1980, there were 540 million people living in extreme poverty. By 2014, there were only 80 million.

Strategies High-Performing Brands Use to Communicate Data

TDAN

Data Engineering From A Data Scientist’s Perspective

DataFloq

We’ve had technical people focused on the ingestion and management of data for decades. But, only recently has data engineering become a critical, widespread role. It wasn’t long ago that the primary roles focused on enterprise data were largely involved with three primary areas.

Business Glossary and Metadata: Small Teams Data Governance

TDAN

In my last article I suggested that many organizations have approached Data Governance incorrectly using only centralize data governance teams and that approach is not working for many.

Want To Contribute To An Upcoming Book?

DataFloq

The book is going to be called 97 Things About Ethics Everyone In Data Science Should Know. Our goal with the collection is to represent a wide range of voices and ideas from people who have a clear point of view on some aspect of the ethical issues surrounding the field of data science.

Convert From Big Data to Smart Data

TDAN

Did you know that 90% of all data has been generated over the last 2 years? Big Data has been an important topic in the marketing scene for quite some time.

Deep Learning Can Make a Difference

TDAN

Deep learning, as defined by MathWorks, is a system of artificial intelligence that is built around learning by example. Multiple industries have already understood the benefits that deep learning brings to their operational capabilities.

Use Big Data to Make Decisions at Meetings

TDAN

Not looking forward to your next meeting? We don’t blame you. Meetings can be hard to sit through, not to speak of being productive. Making an important decision everyone can agree on is not easy. Intuition has a lot to do with making decisions.

Tectonic Shifts in Data and Analytics

TDAN

As more companies invest in data and apply analytical insights, they start to demand better products and services from their vendors. Why should a business use one data service when another startup has launched a competing product with better features?