Infographic: BI Modernization Checklist
Ready to get your BI modernization strategy rolling? Here’s a step-by-step guide on everything you need to know before you begin.
5 Common Mistakes During Business Intelligence Implementation
The importance of business intelligence cannot be overstated. This powerful tool provides critical knowledge and insights that give companies a solid leg up in the race to market success. With it, organizations gain [...]
BI Modernization Basics: What is BI Modernization & Why Is It Important?
Data is, unquestionably, one of the most critical assets a modern global organization can have. In today’s intensely competitive business landscape, quality data can mean the difference between becoming a thriving industry leader [...]
Finding the Right BI Solution: 4 Considerations When Evaluating Your Options
Business intelligence (BI), if done right, can have a significantly positive impact on your organization. BI can enable faster decision-making and improved collaboration across teams; it can uncover insights about your customers, current [...]
5 Common Challenges to MLOps Capabilities & Development
Enterprise interest in artificial intelligence and machine learning (AI / ML) is exploding with experts forecasting a 10x increase in spending over the next five years. However, the complex nature and exacting demands [...]
How to Develop Your BI Modernization Roadmap
As data creation zooms ahead at the speed of light, nothing is more detrimental to data-reliant businesses than ineffective, burdensome legacy infrastructure. Outdated tech can stand in the way of businesses adopting cloud-based [...]
6 Crucial Considerations for MLOps Success
Interest in AI / ML is exploding, but these new techniques and technologies present some unique challenges that can result in suboptimal results if not addressed correctly. Dysfunctional AI / ML efforts can [...]
What “Mad Men” Can Teach Us About the Customer Experience and How ML / AI Capabilities Are Improving It
The first episode of “Mad Men” features a focus group in a brightly lit room. Chairs are placed neatly in rows along laboratory-grade clean counters. Along these countertops lie small shiny cylinders, each with individual tags and a box of tissues to accompany them. Amongst these chairs enter a line of secretaries, each assigned to a seat.
5 Pillars of Data Observability: How Recency, Distribution, Volume, Schema, and Lineage Maintain Healthy Data
For data observability, those guiding principles can be simplified into five pillars: recency, distribution, volume, schema, and lineage. Evaluated together, they help organizations guarantee the health of their data.
Data Observability in Action: How Maven Wave Helped Assess an Unhealthy Data Flow for an Enterprise
As you read this, hundreds of thousands of megabytes of new data have already been generated — and that’s a conservative calculation.
What Is Data Observability? Does It Live Up to the Hype?
Data, data, and more data: In today’s landscape, data is driving critical decisions and is considered the lifeblood of an organization. With an increasingly digital economy, more and more enterprises are making key financial and customer decisions based on data input...
Modernizing Your SAP S/4HANA Analytics
When Home Depot wanted real-time analytics from its SAP data to manage inventory, the company turned to cloud-based analytics to avoid stockouts and increase sales. Like many SAP users, the home improvement retailer relies on the power of SAP S/4HANA to create an intelligent enterprise and drive digital transformation.
Data Science Terminology 101: 31 Must-Know Definitions
Have you ever searched for something only to be bombarded later with a plethora of ads for related services or products? Or crazier still, have you mentioned a product name aloud and been greeted with an ad for that same service a few hours later?
The Five W’s of Spatial Data Science and Spatial Data Analytics
Spatial Data Science is a term we use frequently at Maven Wave to describe the use of spatial data, algorithms, and analytical methods applied in concert with more traditional machine learning and deep learning techniques.
4 Top Challenges to Implementing Data Science Modernization
The emergence and growing capabilities of the public cloud have led to a revolution in new products, processes, and tools. Lower costs have supported an explosion in data, and new analytical capabilities have created an exponential increase in insights — just to name a few benefits.
The Case for Data Science Modernization: 6 Shortcomings of Legacy Solutions
In a recent white paper, The Inevitability of Data Science Modernization During the Machine Learning and AI Revolution, Maven Wave detailed how recent developments in data science modernization (DSM) are setting the foundation to support the transformative power of artificial intelligence (AI) and machine learning (ML).
The Inevitability of Data Science Modernization During the Machine Learning and AI Revolution
In the business world, machine learning (ML) and artificial intelligence (AI) are keys to the future of modern enterprises. A recent survey from ESIThoughtLab found that two-thirds of business leaders see AI as critically important for their future.
Taking Data Analytics to New Heights with Visual BI
Atos and Maven Wave see data and cloud as the core pillars of digital transformation. You’ve probably heard (or read) us say that modern enterprises can’t compete without data-driven, cloud-based practices.
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.
The Raw Reality of Data Analytics and Cloud Migration with Brad Foster
On a recent episode of the Data Movers Podcast, our very own Brad Foster sat down with JSA CEO Jaymie Scotto Cutaia and a top B2B influencer in the tech, telecom, and data center space, Evan Kistel.
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 [...]
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?
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 [...]
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 [...]
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 [...]
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, [...]
Celebrating 10 Years of Google Cloud’s BigQuery: A Look Back
Congratulations BigQuery on celebrating 10 years! As an early entrant to the Google Cloud Partner ecosystem, we at Maven Wave have enjoyed seeing the platform grow and evolve from beta to the industry [...]
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 [...]
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 [...]
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 [...]
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 [...]
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 [...]
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 [...]
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 [...]
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. [...]
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 [...]
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 [...]
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 [...]
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 [...]
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 [...]
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 [...]
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 [...]
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 is actually used because the server management and capacity planning decisions are completely [...]
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 [...]
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 [...]
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 [...]
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. [...]
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, [...]
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 [...]
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 [...]
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 [...]