What is Big Data Analytics?

Mixpanel on Data

Companies use big data analytics to uncover new and exciting insights in large and varied datasets. It helps them forecast market trends, identify hidden correlations between data flows, and understand their customers’ preferences in fine detail. Big data also moves fast.

The latest edition of The Data & Analytics Dictionary is now out

Peter James Thomas

After a hiatus of a few months, the latest version of the peterjamesthomas.com Data and Analytics Dictionary is now available. Data Architecture – Definition (2). Data Catalogue. Data Community. Data Domain (contributor: Taru Väre ). Data Enrichment.

Meet Perficient’s Chief Strategists: Arvind Murali

Perficient Data & Analytics

The current digital age has generated an exponential amount of data. From mobile devices and online activity to enterprise performance metrics and operational considerations, data is all around us. Some clients begin with a clean slate and want to capitalize on their legacy data assets.

Big Data Analytics Is The 21st Century’s Biggest Disruptor In Healthcare

Smart Data Collective

The healthcare sector is heavily dependent on advances in big data. Healthcare organizations are using predictive analytics , machine learning, and AI to improve patient outcomes, yield more accurate diagnoses and find more cost-effective operating models. Big data capturing.

Healthcare Analytics from the Pros

Dataiku

Medicine is always evolving, but healthcare as an industry struggles to incorporate data analytics into their workflows. healthcare Data analysis data governance

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline?

Sanjeev Mohan

Is Google Cloud Platform Ready to Run Your Data Analytics Pipeline? I spent the majority of my time helping clients decide which was the right Hadoop platform and which NoSQL / nonrelational data store to pick for specific use cases.

How Much Time Could Your Company Save If You Said Goodbye to Data Migration?

Data Virtualization

In this article, I will discuss the complexity of data migration when transitioning to a new system, based on the traditional ways of working. I will explain why data virtualization can play a role in taking away this complexity, for.

Silver Sponsor ElegantJ BI Demonstrates Smarten Analytic at Gartner Data & Analytics Summit, June 5-6, Mumbai, India

Smarten

ElegantJ BI, an innovative vendor in Business Intelligence, Augmented Analytics and Augmented Data Preparation, is pleased to announce its participation in the Gartner 2018 INDIA Data & Analytics Summit from 5 – 6th June 2018 in Mumbai, India.

Interview with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity

Corinium

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. What is the most common mistake people make around data?

Governing for digital transformation and growth

Cloudera

The former sees growing investment in data analytics to become data-driven (45% of organizations expect to increase their spending in this area) while the latter is fueled by disruptive technology and the adoption of AI (41% of organizations name it as their game changer).

6 Data And Analytics Trends To Prepare For In 2020

Smart Data Collective

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason.

Business Users Can Enjoy Self-Serve Data Preparation!

Smarten

The Benefits of Self-Serve Data Prep for YOU and Business Users! The benefits of augmented analytics that includes self-serve data preparation for business users…well, those benefits are truly impressive! Reduce the time to prepare data for analysis.

IBM CDO Conference: The Chief Data Officer Role Is Evolving

Hurwitz & Associates

Chief Data Officers (CDOs) have a weighty responsibility: they are “on point” to find the actionable insights and data trends from analysis of data lakes, data repositories and virtual “seas” of data flowing across their large organizations. Data silos, different data formats – and organizational changes combining disparate data systems – make the CDO’s tasks challenging. Execute enterprise-wide governance and management systems.

How Verizon Is Building A Big Data And AI Culture

Bruno Aziza

VEDA — Verizon Enterprise Data Analytics—is an enterprise organization that addresses data management, data governance, data warehousing and data lakes and common analytical and AI technologies

Core technologies and tools for AI, big data, and cloud computing

O'Reilly on Data

Highlights and use cases from companies that are building the technologies needed to sustain their use of analytics and machine learning. In a forthcoming survey, “Evolving Data Infrastructure,” we found strong interest in machine learning (ML) among respondents across geographic regions.

Artificial intelligence and machine learning adoption in European enterprise

O'Reilly on Data

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. You can find full results from the survey in the free report “Evolving Data Infrastructure”.).

Advanced Analytics: If You Don’t Know What You Need, How Can You Succeed?

Smarten

Every enterprise is talking about Business Intelligence and Advanced Analytics. Every enterprise has considered the benefits of implementing self-serve analytics across the organization and involving business users in the process. Requirements Planning for Data Analytics.

An Integrated Approach to Tackling Financial Institutions’ Data Challenges

Tamr

These challenges require banks to drastically improve the way they treat their data, resulting in changes such as making sure every data customer has access to real-time data, and putting integrated data structures in place that are flexible to changing external pressures.

Your Modern Business Guide To Data Analysis Methods And Techniques

datapine

In our data-rich age, understanding how to analyze and extract true meaning from the digital insights available to our business is one of the primary drivers of success. Despite the colossal volume of data we create every day, a mere 0.5% What Is A Data Analysis Method?

Using Extensions to Increase Tableau Data Quality

Tamr

This post is the first in a series of blogs about Tableau and our Tableau extension for data issue tracking, Tamr Steward. Tableau extensions increase functionality in Tableau, the versatile tool for data analytics and visualization.

Themes and Conferences per Pacoid, Episode 12

Domino Data Lab

Paco Nathan ‘s latest monthly article covers Sci Foo as well as why data science leaders should rethink hiring and training priorities for their data science teams. In this episode I’ll cover themes from Sci Foo and important takeaways that data science teams should be tracking.

Predictive Analytics in Finance Can Accelerate Data-Driven Enterprise Transformation

Cloudera

This can result in fragmented systems and data becoming further siloed, making it more difficult to uncover transformative insights. Every finance organization has rich, robust data pulsing through its systems around the clock. Enhancing the use of data at.

What is SSDP and Can it Truly Make Analytics Self-Serve?

Smarten

SSDP (otherwise known as self-serve data preparation) is the logical evolution of business intelligence analytical tools. With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise.

Self-Service Data Prep: A Tool for Business Users

Smarten

Self-Serve Data Preparation Makes Business Users More Productive and Efficient! There is too much to do in a day to wait for someone else to give you the data you need.

Why Do You Need Self-Serve Data Preparation?

Smarten

Self-Serve Data Preparation Takes the Headache Out of Data Analytics! Self-Serve Data Preparation (aka augmented data preparation) is all about efficiency and the presentation of sophisticated data preparation tools in an easy-to-use environment.

What is going on in the world of data and analytics?

Andrew White

I have blogged before (see this from 2014: A Day in the Life of an Analyst” at Gartner’s IT/Expo Symposium – Day 3 ) about the hot topics I discussed with attendees at our Symposia and data and analytics conferences. MDM is dead; at least the old idea that was peddled that all data in a master file is master data. Your Future Requires You to Define Your Real Master Data. This ties into the failure of data governance and MDM (see first item in this list).

Establish a Solid Foundation for Advanced Analytics

Smarten

As advanced analytics and self-serve, augmented analytical tools make their way into the average enterprise, the average organization struggles to quantify the effects and, moreover, to understand and leverage the changes within the business.

Rethinking Data Marts in the Cloud

Cloudera

Become more agile with business intelligence and data analytics. Many of us are all too familiar with the traditional way enterprises operate when it comes to on-premises data warehousing and data marts: the enterprise data warehouse (EDW) is often the center of the universe.