Secrets to Data Strategy Success from Data Champions Online Europe


Three key themes emerged as 17 of Europe’s top data leaders shared the secrets of their success with more than 250 attendees at this insight-packed five-day event.

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.

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Free Data Strategy Email Course

Data Science 101

Are you an organization new to data science? I call this a data strategy. I just released a free Data Strategy Email Course. Hopefully, this will help get your organization off to a smoother start with data science and artificial intelligence.

Data Strategy Creation – A Roadmap

Peter James Thomas

Data Strategy creation is one of the main pieces of work that I have been engaged in over the last decade [1]. In my last article, Measuring Maturity , I wrote about Data Maturity and how this relates to both Data Strategy and a Data Capability Review. The exhibit above is one that I use to chart my work in Data Strategy development [2]. As previously trailed, I will be penning a more comprehensive piece on Data Strategies in coming months.

EU Data Strategy: Helping Themselves

Andrew White

I read the EU Data Strategy some weeks ago. I posted to my blog some comments and challenges I felt it contained back in March: The Value of Data. The biggest challenge of all is that the EU is seeking to create a market for data. There are of course already many markets for data. There are also numerous use cases for data. Many public sector agencies collect data and so do private industry. Is it the lack data?

Scaling Your Data Strategy


This article presents a particular vision for a cohesive data strategy for addressing large-scale problems with data-driven solutions, based on prior professional experiences. 2020 Mar Opinions Data Science Scalability Strategy

How Data Strategy and Machine Learning Intersect


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. If you are working in an IT vertical then it is […].

The 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. The home of The Data and Analytics Dictionary , The Anatomy of a Data Function and A Brief History of Databases.

Questions to ask before building a Data Strategy

Data Science 101

Building a data strategy is a great idea. It helps to avoid many of the Challenges of a Data Science Projects. General Questions Before Starting a Data Strategy. Do you have a process for solving problems involving data? Do you have a data team (size/roles)?

Data Strategy in a Working from Home Climate

Peter James Thomas

When I occasionally re-read articles I penned back in 2009 or 210, I’m often struck that – no matter how many things have undeniably changed over the intervening years in the data arena – there are some seemingly eternal verities. In my last article, Data Strategy Creation – A Roadmap , I hopefully gave some sense of the complexities involved in developing a commercially focussed Data Strategy. data strategy pandemic working from home

Move From Insight To Impact: Data Strategy & Insights 2020

Forrester's Customer Insights

And data, analytics, and AI are going to drive this future. Age of the Customer AI Insights Business Intelligence Customer Insights Data Analysis Data Insights data science AI analytics business insights customer analytics customer insights data management data strategy insights-driven businessThe digital future is here.

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. The last five years has seen a real conscious awakening of the power of data and the need to use it to deliver an amazing customer experience every time, in order to compete. Here’s our top five questions to ask to help supercharge your data journey: Data Discovery : What data do you currently have and where is it?

Why Data Culture Is a Key Component of Data Strategy


Having a strong data culture is about equipping everyone with the skills they need to leverage data to perform their job well

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. Pew Research has shown most customers are okay with companies collecting their data if it is used for holistic purposes. In 2017, many Americans became concerned over the new threats to online security and data privacy.

Grow Your Business with these Big Data Strategies

Data Science 101

We are living in the data-driven world where every industry be it healthcare, finance, omnichannel retail, agriculture, logistics and much more runs on data. The data is one of the key essentials for increasing revenues and cost savings. Data can be considered as a tool that is banked on by the organizations for making smarter decisions and it is necessary to survive in these competitive markets. But, what exactly is the data? Make a Standardized Data Storage.

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. Here are four sessions to attend to learn more about the elements of a quality data strategy. Data Strategy Sessions at Strata. Foundations for successful data projects .

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

Scale data strategies globally with IBM Cloud Pak for Data and CockroachDB

IBM Big Data Hub

Cloud Pak for Data, IBM’s leading data and AI platform, partners with Cockroach to solve multicloud and compliance challenges so organizations can scale their data strategies across the globe

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. On a daily basis, I come across clients looking for a data strategy. In their minds, it’s a collection of enterprise data assets that are put in a spreadsheet and organized with a determined future state.

So You Think You’ve Got a Data Strategy?


Data is the new battleground for banks; yet for all the talk about digitalization, most banks still do not have a coherent enterprise-wide strategy for data

The Insights Beat: Save Your Data Strategy From A Nosedive

Forrester's Customer Insights

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? (Jeremy Vale and Paolo Santamaria contributed to this post.)

5 Ingenious Big Data Strategies To Skyrocket Email Marketing Conversions

Smart Data Collective

Big data is playing an essential role in virtually every facet of the digital marketing sphere. You can use big data to get higher conversion rates with any digital marketing medium, including email marketing. This figure can be a lot higher if you use big data to properly optimize your campaigns. The Growing Importance of Big Data in Email Marketing. A few years ago, Smart Insights wrote an interesting article on the use of big data with email marketing.

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

Closer Than You Think: Data Strategies Across Your Company


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.

Data Strategy & Insights 2019: Reimagine To Reinvent

Forrester's Customer Insights

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

Building a Scalable Data Strategy with IPTOP: Infrastructure, People, Tools, Organization, and Processes


Scaling a data strategy successfully is no small feat. Follow our methodology to lay a strong data foundation and scale an enterprise data program

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. But before anyone can execute an AI strategy, they’ll need a data strategy

Making Data-Driven Business Practices ‘Sticky’


Data StrategyCultural change does not happen overnight.

5 Things Business Leaders Need to Know About Data Strategy


Find out how to build a healthy and sustainable data strategy that will move the needle for your company

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

6 Tips for Building a Training Data Strategy for Machine Learning


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

Enterprise Data Strategy: The Upside of Scarce Funding


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

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 62

Why Your Digital Transformation Will Fail if You Don’t Have a Data Strategy


Digital transformation starts and ends with data

How to Perfect Your Data Culture Recipe


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

Knowledge Graphs vs. Property Graphs – Part II


Differences in Terminology and Capability Building on the terms and concepts introduced in Part I of this white paper, Part II digs deeper into the difference in the meaning of some key terms used in both Property Graphs and Knowledge Graphs, including LABELS, TYPES, and PROPERTIES.

The Supply Chain of Tomorrow Will Be Flexible, Efficient and Resilient


Big Data StrategyIn today’s complex world, it is short of a miracle how we have been able to create global supply chains that move products across the globe at breakneck speed. However, the current pandemic has also shown how vulnerable our global supply chains are. .

Creating Ecosystems That Support Data Culture


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

Strategy is Unleashing the Potential of Enterprise Data


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.

The Gamification of Data Governance


Getting the business engaged with data governance can sometimes be a challenge. At NAIT (the Northern Alberta Institute of Technology), we have put together a process to visually identify and connect our reports to Data Governance.

‘Phase Two’ of Europe’s Data Transformation


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

The Data-Centric Revolution: Data-Centric vs. Centralization


They had seemingly achieved many of the benefits of becoming data-centric through decentralization: all […].

Three Key Takeaways from CDAO Europe 2019


‘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