The story quickly went viral, demonstrating the impact that poor data quality can have. Poor data quality is the unintended consequence of data silos and a lack of data and analytics governance. Technology alone is insufficient to solve the bigger problem of data and analytics governance. A Gartner survey found that organizations believe poor data quality cost them an average of $11.8 Many also confuse what is and isn’t master data. MORE

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? MORE

Leverage Channel Data To Give Partners A Better Experience: Winning In The Channel Requires Data-Driven Program Innovation Brands that provide an enhanced partner experience grow faster than their peers, are more profitable, and drive higher customer satisfaction and retention downstream. MORE

CIOs need to understand what they are going to do with big data Image Credit: Merrill College of Journalism Press Releases. The Challenge Is What To Do With The Data. Changes like “big data” often don’t happen all by themselves. The post Are You Ready For Big Data? MORE

Augmented analytics is just one of the top 10 technologies Gartner has identified with the potential to address these and other major data and analytics challenges in the next three to five years. Digital transformation has put data at the center of every organization. 6: Data fabric. MORE

Data and analytics leaders cannot master today’s opportunities and challenges of digital business using yesterday’s roles and organization design. Chief data officers (CDOs) consistently mention lack of relevant skills or staff as one of the top internal roadblocks to success. Data and analytics ranked first among tech-related skills that CEOs will need most. Algorithmic business is creating new responsibilities and roles for those managing data and analytics. MORE

Data governance is good for you, they said. Data governance de-risks your business, they said. Data should be owned by the business, they said. It’s my guess that data governance is not, quite, working for you. How’s that working for you? MORE

In a post titled Data Mining – A Cautionary Tale , I share the idea that data mining can be dangerous by sharing the story of Cornell’s Brian Wansink, who has had multiple papers retracted due to various data mining methods that aren’t quite ethical (or even correct). MORE

An aspiration to create a data-driven future has resulted in massive data lakes, where even the most experienced data scientists can drown in. Today, it’s all about what you do with that data that determines your success. Without data, you simply can’t. MORE

A few days ago, I delivered a Forrester webinar on external data: why you need it, how best to find it, and how to effectively buy it. Take a look at the replay: WEBINAR: Think You’re Doing Data Sourcing Right? MORE

Christine was recently appointed chief data officer (CDO) in a retail organization in the U.K. to develop a data-driven strategy. CDOs need to create concrete, measurable metrics that link data and analytics initiatives to information, business and stakeholder value. MORE

If you are a Data Scientist wondering what companies could have the most career opportunities or an employer looking to hire the best data science talent but aren’t sure what titles to use in your job listings — a recent report using Diffbot’s Knowledge Graph could hold some answers for. MORE

For those of you that might be new to data, keep this small (but extremely important) thing in mind – beware data mining. What is data mining? Data mining is the process of discovering information and patterns in data. irci’s initial review of the data. “I MORE

I remember a few years ago when, as enterprise architects, we sat around in the office of the VP of architecture and planned our data strategy on the whiteboard. Enterprise data model? The dreaded data governance plan? MORE

I’m regularly asked about how to get started with big data. My response is always the same: I give them my big data roadmap for success. Most organizations want to jump in a do something ‘cool’ with big data. Build a data lake (and utilize it). MORE

Want to be a data science rockstar? It isn’t being able to write AI algorithms from scratch or analyze terabytes of data in minutes. Why do I need to communicate to be a data science rockstar? Person 1: She’s been a data scientist for 4 years. MORE

The world has become a world of data. According to Domo , the majority of the data (roughly 90% of it) that exists today has been created within the last two years. That’s a lot of data. Actually…that’s a LOT of data. That’s the data way. MORE

If you were to ask me a year ago what I would point to as a best practice for data governance, my response would be to look at what financial services firms do to meet their regulatory requirements. MORE

Big data has moved from buzzword to being a part of everyday life within enterprise organizations. An IDG survey reports that 75% of enterprise organizations have deployed or plan to deploy big data projects. That’s where a Chief Data Officer (CDO) enters the picture. MORE

That’s essentially how a data-driven business functions when there is no data literacy. If no one outside the department understands what is being said, it doesn’t matter if data and analytics offers immense business value and is a required component of digital business. By 2020, 50% of organizations will lack sufficient AI and data literacy skills to achieve business value. In short, the ability to “speak data” will become an integral aspect of most day-to-day jobs. MORE

What do you think of when you hear the term ‘data modeling’? Just typing ‘data modeling’ almost made me go to sleep. Data modeling has many different definitions and connotations. You don’t have a data strategy? MORE

In a recent inquiry, a new Chief Data Officer asked where to start. And, wanted to know how to build a community around data and analytics, particularly with a limited budget to hire. MORE

It’s T minus two weeks to Forrester’s 2nd Data Strategy & Insights Forum in Austin, TX. Over 300 data and analytics leaders will gather to share, learn and get inspired! For those of you who have already registered and planning to attend, you answered one key question during the registration process: What is your top […]. MORE

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. MORE

It’s not hard to see the signs that the data economy is heating up. They mine their own data, yet increasingly they want incremental insights that drive further differentiation and competitive advantage. Virtually all decision makers want to be insights-driven. MORE

If you were to ask me a year ago what I would point to as a best practice for data governance, my response would be to look at what financial services firms do to meat their regulatory requirements. artificial intelligence (AI) big data data governance data management digital business digital disruption digital intelligence machine learning ambient data governance CCPA data ops data stewardship GDPR regulatory compliance MORE

agile data AI cio data management data scientist digital transformation leadership organizational change MORE

Data literacy — the ability to read, write and communicate data in context — is among the most important abilities for organizations today. By 2020, 80% of organizations will initiate deliberate competency development in the field of data literacy. “By By now, most organizations have identified the need to build a data-driven organization,” says Alan D. This is reflected by the increasing appointment of chief data officers (CDOs). Business value of data. MORE

Architects can choose, and do, a primary cloud service provider and/or Hadoop system to house their data. Moving, transforming, cataloging and governing data is a different story. data management master data management metadata management cloud data catalog data governance data profiling hadoop lineage MORE

Take a Look at Your Data , I discuss the importance of data quality and data management in an organization’s digital transformation efforts. What is data quality? … To be of high quality, data must be consistent and unambiguous. MORE

We’ve seen the promise of what enhanced data, analytics, and AI capabilities can do for businesses, but firms are struggling to truly maximize their impact. Data and analytics leaders want to shift into high gear, but many factors are holding them back. age of the customer big data business intelligence customer insights data analysis data insights data mining and collection data science employee experience Information architecture MORE

There’s a recurring assumption in discussions about internet of things (IoT) platforms: The platform providers make their money by mining insights from data loaded into their platform. MORE

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 MORE

While not as life-and-death as the above questions, data preparation is just as important to proper data analytics as learning the basics of driving before getting behind a wheel. Data preparation is important. The Importance of Data Preparation. MORE