Data & Analytics

Data & Analytics2018-08-27T10:58:40-05:00

Unlocking the Future of Healthcare with Google Cloud’s Healthcare Data Engine

Healthcare and life sciences organizations (HCLS) were moving to the cloud even before government mandates for interoperability came into play. Forward-thinking providers, insurance companies, and drug companies have been using the power of cloud to redefine the patient experience, unearth the value of data, and improve the delivery of care for years.

July 22nd, 2021|Blog, Data Analytics & Machine Learning, Healthcare|

Enabling the Data Analyst: Google Cloud Welcomes Dataform

Google Cloud recently announced its acquisition of Dataform, a platform that empowers analysts to manage the entire flow of data within the warehouse, using a single, unified workflow. Incredibly powerful, Dataform is the tool used for transformation of data, reshaping, cleaning, and crunching. Since Dataform is now part of Google Cloud, it is available for free. Google is offering a product that can truly change the way that all [...]

May 5th, 2021|Blog, Data Analytics & Machine Learning, Google Cloud|

Webinar Series: Navigating the Cloud Data Journey

Data and reporting play a key role in informing business strategy nowadays, but building a robust data program is harder than it sounds. Should you migrate your data to the cloud little-by-little or all at once? If you’ve already migrated, how do you ensure cost control and optimization? And once you have the basics down, how can you dive deeper into advanced analytics programs?

April 21st, 2021|Data Analytics & Machine Learning, Webinar|

Google Cloud Next ‘20: OnAir and in the Cloud with Maven Wave – Data Analytics Week

Across screens worldwide, Google Next ‘20: OnAir attendees are taking a deeper dive into today’s most commanding cloud topics. Led by Google Cloud experts and featured guests, the all-digital event is helping leaders solve some of their most crucial challenges with fresh on-demand content, interactive experiences, and more. The nine-week event is halfway through, but the content is available on-demand by building a customizable playlist. [...]

August 10th, 2020|Blog, Data Analytics & Machine Learning|

5 Critical Components for Assessing the Quality of Enterprise Data

One of the most vital business lessons to derive from the ongoing global pandemic is the importance of data quality. While making key decisions around the best ways to rapidly implement and pivot strategies, ensuring you have high-quality data is essential. During this crisis, those who do not have the necessary data needed to steer these critical choices properly have been struggling to put a plan in place. [...]

July 1st, 2020|Blog, Data Analytics & Machine Learning|

How Data Enables the “Smart” in Smart Factories

The next generation of manufacturing is here. It’s no secret that manufacturers must continue to prove their relevance by leveraging emerging technology trends to stay on pace with modern-day customer demands and achieve autonomous operations. When building an innovative smart factory, there is no one-size-fits-all. Still, the groundwork is the same - connecting data, machines, people, and processes to deliver the next generation of manufacturing. [...]

June 25th, 2020|Blog, Data Analytics & Machine Learning|

Will Your Business Live By Data, or Die By Data?

The global COVID-19 pandemic is teaching the world a few key lessons about the importance of data quality. Good data, with standard definitions, timeliness, reliable curation, and ease of access can drive policy, priorities, informed risk-taking, and decisions. Good data allows an agile organization to execute a plan in response to a briskly changing environment. Bad data drives ambiguity, confusion, chaos, and loss. Bad data is a fog [...]

June 12th, 2020|Data Analytics & Machine Learning, White Papers|

Powering Enterprise AI Projects with BigQuery

Google Cloud’s BigQuery has come a long way since it launched in 2010, and even since machine learning (ML) was first added to the serverless, scalable cloud data warehouse last year. Google CEO Sundar Pichai publicly introduced the company’s Artificial Intelligence (AI) - first strategy in 2017 and focused on “making AI ‘simple, fast and useful’ for enterprises” in the months following, according to CMSWire. [...]

January 31st, 2020|Blog, Data Analytics & Machine Learning|

3 Ways Retailers Can Personalize Customer Experience Using Technology

The modern consumer expects personalization as a standard of service. And even more, they expect to have a seamless transition between their online shopping experience and in-store interactions. Today, with much focus on the omni-channel experience, recognizing customers on a personal level still garners results, but it requires a new twist: using technology to augment and improve the shopping experience wherever and whenever the customer chooses to engage. [...]

January 13th, 2020|Blog, Data Analytics & Machine Learning|

7 Steps for Successfully Building a Human-in-the-Loop Machine Learning Model

Even though human-in-the-loop is still in its “early innings,” companies can generate considerable business value in the near-term by implementing this emerging technology. At most workplaces, it’s now expected that employees across a wide array of functions are able to automate their routine daily tasks through the use of predictive analytics. This by no means insinuates employers want their staff to automate themselves out of a job; rather, [...]

October 16th, 2019|Blog, Data Analytics & Machine Learning|

A Guide to Google BigQuery Inner Workings

For many years now, businesses have utilized databases for analytical workloads. As time has gone by, the need for quick and accurate insights into all aspects of the business have increased as companies look to harness data to gain a competitive advantage. Traditional databases where compute and storage are tightly tied together have been expensive and inefficient. Newer Cloud Native databases, such as Google Cloud's BigQuery, take advantage [...]

October 7th, 2019|Data Analytics & Machine Learning, White Papers|

Top 3 Rules For Deploying AI Across The Enterprise

Consider how far we’ve come with artificial intelligence (AI) and machine learning (ML) in such a short time. Three years ago, AI and ML were new to everyone; data scientists were the only ones who understood the technology and could envision the applications. Plus, the only businesses that could afford to even consider it were large organizations such as the U.S. Department of Defense, NASA, and major universities. [...]

September 5th, 2019|Blog, Data Analytics & Machine Learning|

Why Enterprises Are Playing Catch-Up with AI and 5 Tips for Diving In

Artificial intelligence (AI) has completely transformed in the last five years due to the increased availability of computing resources in addition to a better understanding of techniques and customer demand. In fact, the adoption of machine learning (ML) and AI is mirrored by the general adoption of cloud strategy. A recent Gartner CIO Survey showed a rise in AI implementation of 270 percent over the last four years, VentureBeat [...]

July 9th, 2019|Blog, Data Analytics & Machine Learning|

Machine Learning at a Glance: Highlights from Google Cloud Research

The majority of today’s businesses are investing in ML, according to our research. Use cases vary widely by industry, but several key applications — including process automation and customer behavior analysis — are common. ML adopters are seeing an especially high degree of impact from predictive analytics, a category of techniques that use data to assess the likelihood of future outcomes and help businesses solve complex problems. [...]

January 1st, 2019|Data Analytics & Machine Learning, White Papers|

Machine Learning Now Available in Google BigQuery

One of Google Cloud Platform’s most popular products, BigQuery, recently announced the addition of some exciting new functionality: the ability to create and execute machine learning (ML) models directly inside of the platform. BigQuery has become incredibly popular because it enables interactive analysis of large datasets, making it easy for businesses to share meaningful insights and develop solutions with analytics. However, often times users of BigQuery aren’t using [...]

November 13th, 2018|Blog, Data Analytics & Machine Learning|

CAO Fall Recap Take 2: How To Successfully Implement Machine Learning

In a previous post, we shared the recurring question from the first day of the Chief Analytics Officer fall conference: how can you best apply insights from your data? In response to that question, several presentations offered guidelines for building machine learning models and shared case studies showing how companies are currently utilizing these solutions. During the remainder of the conference, while many speakers focused on different aspects [...]

October 17th, 2018|Blog, Data Analytics & Machine Learning|

Transforming Marketing Through Analytics

In a previous blog post, we explored the rapid growth of marketing technology applications and the corresponding explosion of marketing data. Marketing teams today have a proliferation of data silos supporting a diverse portfolio of marketing technologies. It’s not unusual for an enterprise to be using twenty or more best-of-breed apps for marketing in addition to enterprise applications like ERP, customer relationship management, and workforce management. [...]

August 6th, 2018|Blog, Data Analytics & Machine Learning|

Building a Holistic Customer View from Your MarTech Apps

Today’s marketers have an awe-inspiring, some might say overwhelming, range of responsibilities. What was once a narrow focus on advertising and promotion has expanded to include a wide range of content creation and distribution, customer relationships, social media, and customers’ experiences throughout their lifecycle both on- and offline. At the same time, many businesses have become data-driven, holding all executives accountable for progress against key metrics. [...]

June 19th, 2018|Blog, Data Analytics & Machine Learning, Marketing Analytics|

From Science to Delivery: Making the Most of Machine Learning with DevOps Principles

Machine learning is garnering a great deal of attention and resources right now but experience is showing that the journey from promising experiments to functioning solutions is not always an easy one. In order to avoid having pilots being no more than one-off science experiments it takes special care and effort. One way to deal with this problem is to adopt the principles of DevOps as useful guideposts [...]

May 7th, 2018|Blog, Data Analytics & Machine Learning, Infrastructure|

4 Unexpected Uses of Machine Learning

The pace of technology is continually accelerating and we are seeing more and more machine learning solutions being utilized across industries and even in our personal lives. But beyond the practical application of the technology, data scientists are developing some truly amazing use cases for how ML can enhance our lives unexpected ways. From identifying which shop your ramen noodles came from to saving the rainforests, the possibilities [...]

April 30th, 2018|Blog, Data Analytics & Machine Learning|

Smarter Marketing Decisions with Analytics and Google Cloud

On a daily basis, marketers are tasked with identifying new ways to target customers through campaigns, emails, events, ads, social media, and more. But, how do you know if your marketing strategy is effective and making an impact on sales? This is where marketing analytics can make a huge difference; it’s crucial for companies to understand the value of marketing efforts. [...]

April 25th, 2018|Blog, Data Analytics & Machine Learning, Marketing Analytics|

4 Simple Ways AI is Changing Business

We’ve all benefited from artificial intelligence (AI) enhancing our personal lives; from using GPS to predict the fastest route to having Spotify suggest songs that we may like. Artificial intelligence is not just affecting our personal lives, but we are now seeing it being adopted by the enterprise. In the coming years, we can expect AI to become one [...]

March 23rd, 2018|Blog, Data Analytics & Machine Learning|

Reinvigorate Your Data Analytics Team with Serverless Computing

What is serverless computing? The funny thing about “serverless computing” is that in reality, it still requires servers. The name serverless computing is used because the server management and capacity planning decisions are completely hidden from the developer or operator. Sometimes referred to as “Function-as-a-Service” (FaaS), serverless computing is the concept of executing your application code as a series of tasks in an environment completely managed for you. [...]

February 14th, 2018|Blog, Data Analytics & Machine Learning|

Ask the Expert: Machine Learning

In the era of digital transformation, businesses are reporting machine learning (ML) their top business priority. Companies are rapidly beginning to rely on ML to streamline their processes, ultimately increasing efficiencies. While ML is being implemented across many industries, it's only the start of this journey. In this Ask the Expert, we dive deeper in topics about ML with our expert, Sumeet Singh. [...]

February 7th, 2018|Blog, Data Analytics & Machine Learning|

How to Leverage Geolocation Data In Any Industry

No matter what industry you work in today, all businesses are collecting enormous amounts of customer data. Most likely, a lot of that data has a geolocation component to it. Some of the use cases for taking advantage of that data may be obvious ( ordering), but there are many other ways to monetize and discover value from these analytics. Below we provide three unique use cases for [...]

February 2nd, 2018|Blog, Data Analytics & Machine Learning|

How to Successfully Run Machine Learning with Google Cloud Platform

6 Essential Components If you’re reading this article, you are likely already using Google Cloud Platform (GCP), planning to use it, or maybe you are simply intrigued to learn more. Irrespective of your situation, there are some common patterns and approaches to running Machine Learning (ML) with GCP. Below are the top 6 essential components for a successful outcome. [...]

January 5th, 2018|Blog, Data Analytics & Machine Learning|

Top 5 Takeaways from the CAO Forum

Maven Wave sponsored the 2017 Chief Analytics Officer Forum in Boston on October 3-5, 2017, hosted by Corinium Global Intelligence. The conference is led by CAO’s and attended by 300+ top-level analytics executives. It was a well-executed event with insightful speakers, peer-to-peer networking, and valuable actions for analytics teams from all industries and sizes. Below are our top takeaways and insights from the conference. [...]

October 9th, 2017|Data Analytics & Machine Learning|

Beyond the Machine Learning Hype: Solving Vexing Problems in New Ways

Gartner’s latest quarterly IT spending forecast delivers big news about the cloud’s role in global IT expenditures. The firm expects worldwide IT spending to reach $3.8 trillion this year, rising 3.2% over 2018, as the company points out here. A major driver of this growth is the enterprise software segment, which is projected to increase 8.5% this year and another 8.2% in 2020 – reaching $466 billion that [...]

August 8th, 2017|Blog, Data Analytics & Machine Learning|

Tapping IoT to Improve Marketing, Logistics, and Data

The Internet of Things (IoT) has made a huge impact across many industries in recent years. The ability to collect real-time analytics from dispersed machines and devices has opened up a whole new world of opportunity. IoT is a connection of devices that capture data; this collection of data allows organizations to increase efficiency and productivity through the assessment of IoT analytics, which in turn, cuts costs for [...]

July 17th, 2017|Blog, Data Analytics & Machine Learning|

Ask The Expert: Data Analytics

In today’s market, data analytics play a large role in the success of an organization. Analyzing data leads organizations to uncover insights to make more intuitive business decisions. In the age of digital transformation, utilizing analytics within your business is a necessity to stay competitive. In this Ask the Expert interview, we sat down with our newly hired data analytics expert, Todd Truesdell, to answer frequently asked questions [...]

July 11th, 2017|Blog, Data Analytics & Machine Learning|

Machine Learning: The New Proving Ground for Competitive Advantage

A recent survey conducted by MIT Technology Review Custom and Google Cloud reveals that while the majority of businesses are struggling to apply machine learning, others are hard at work developing strategies for the technology — and are already realizing genuine ROI. Get the latest industry news and insights delivered straight to your inbox. Sign up for our Newsletter [...]

July 1st, 2016|Data Analytics & Machine Learning, White Papers|