How to Optimize Your Data and Analytics Platforms

Posted by Dale Treece, Data & Analytics Practice Lead

Sep 21, 2022


How leveraging Google Cloud products can help cut costs and boost productivity

In today’s world, data and analytics matter. How enterprises discover, access and use insights can be the difference between staying ahead and falling behind. And that’s why business leaders agree that data and analytics are absolutely critical to their success and cannot be ignored.

A recent article in Forbes dives into the details of how enterprises can protect themselves from an economic downturn, but the bottom line is this: The more proactive you can be, the better your chances of making it through unscathed. Streamlining your data and analytics in order to save costs and boost productivity is one such way of weathering the storm.

74% of business leaders plan to use data in 2022 to identify opportunities for growth.


Modernize Your Data Warehouse with Confidence

You may be thinking to yourself, “My business already has data and analytics technology in place.” But while that may be the case for many enterprises, most of that technology is drastically behind the curve, which means it’s time-consuming to manage and can’t keep up with new trends and emerging use cases. Many of these systems need dedicated infrastructure and require you to hunt for and manually analyze data. Systems such as these not only hold back productivity, but can also be costly to run and maintain.

It’s no surprise that at Onix, we regularly encounter customers across varying industries and sizes looking to extract more value from their data at a lower cost. After all, data is growing 10X every five years, is increasingly diverse and needs to be securely accessed and analyzed by any number of applications and people.

Maximize Value of Modern Data Analytics Platforms

So how can you start making the most of your data and analytics? How do you modernize the process to cut costs and increase productivity? How can you cross “The Value Bridge” and go from slow, manual data and analytics to a single, unified system with real-time data and insights when you need them?

Here’s the good news: Google Cloud can help you get there with Cloud-native data processing and integration. It’s a unique, industry-leading architecture; it’s an end-to-end solution built on an intelligent, simplified and open foundation. And best of all, it’s a backbone for not just better data and analytics, but consistently game-changing data and analytics. In other words, Onix powered by Google’s solutions leverage "Continuous Innovation" techniques in everything we do.

Get faster insights

Instead of disconnected data and toolsets that require handholding by humans, Google Cloud helps you streamline the process—giving you insights and action in real time. It takes you from a model of ingesting and wrangling data (which increases time and money) to a model that pulls out all the stops and never stops giving you the insights you need.

Real-time data and analytics like that offered by Google Cloud are changing nearly every industry, from healthcare, financial services and retail to telecommunications and manufacturing. It’s also transforming almost every stakeholder interaction.

Drive growth & innovation

The Google ecosystem has multiple data and analytics products that work together efficiently. When applied correctly, these products can result in increased agility and flexibility, which means more productivity, not to mention cost-efficient scale, availability and reliability.

For example, Google product BigQuery proactively cuts costs for the customer. It automatically moves data that hasn’t been modified in 90 days to long-term storage, dropping the price of storing that data by 50%. Not only does this save costs, but it also keeps the data in BigQuery so you don’t have the hassle of migrating to a different service. It’s a case of Google Cloud looking out for your business.

Improve Productivity & Lower TCO 

Here are some of the specific Google products we recommend. Each has key features that can add simplicity, efficiency and power to your data and analytics, as well as a significant boost to your bottom line. Best of all, these products work together as a system, providing an end-to-end solution built on an intelligent, simplified and open foundation.


Handles messaging and event ingestion for real-time analytics.

Key features:

  1. Scalable, durable event ingestion and delivery
  2. Scaled Publish/Subscribe pattern
  3. Global Routing
  4. Deeply integrated

Cloud Dataflow

Data pipeline optimization and automation, removing the complexity of streaming intelligence.

Key features:

  1. Simple, serverless auto-provisioning and self-healing
  2. Accessible ML
  3. Best of OSS and optimized platform
  4. Built to scale


Cloud data warehousing, combining and analyzing all data and analytics for all users at all times.

Key features:

  1. Built for real-time and historical, highly complex analytics
  2. Designed for universal analytics use cases
  3. Architected with intelligence for simple operations
  4. Embedded with machine learning and location analysis

Google Cloud Looker

Multi-cloud BI and Embedded Analytics for real-time insights and intelligent applications.

Key features:

  1. Consistent and governed view of data across multi-cloud
  2. Fast and proactive insights at exactly the right time and place
  3. Build analytical applications faster and with less code

Vertex AI

One unified experience to create, deploy and manage ML models over time, at scale.

Key features:

  1. Access to Google’s continuously enhanced AI tools
  2. Make AI more accessible and useful
  3. Responsible AI, security and sustainability

You may be wondering how you can implement Google’s unique, industry-leading architecture. Onix is a world-class multi-cloud services provider, and we’re happy to help you on your data and analytics transformation journey.

Data Analytics Modernization with Onix

To start, we focus on specific targeted business values and how you can achieve them. These include increased agility by breaking you free from legacy technologies and architectures and faster innovation so you can realize your targeted business outcomes. We also focus on performance and scale through fully managed data and analytics services and reduced cost of licensing and total cost of ownership. In other words, the things every enterprise needs for their data and analytics to fire on all cylinders efficiently and productively.

We then use a proven approach to migrate and modernize customers’ legacy analytics workloads to the Google Cloud Platform: Onix Analytics Modernization (OAM). It’s broken down into three parts.

Develop targeted business objectives

First, we start with your business needs and work backward to analyze the infrastructure, resources, data, business and technology needs that will impact your organization’s modernization journey.

Optimize technology, tools & processes

In the Mobilize & Enable phase, we use our experience to develop a plan of action and determine the right technology, tools and processes to accomplish the desired business outcomes (in this case, determining if Google data and analytics products are right for you and how to best optimize them in the Google Cloud environment).

Accelerate migration

Finally, we put it all together—accelerating migration at scale by implementing all or part of an organization’s workload to optimize your infrastructure environment.

The OAM process has helped several clients make the most of their data by using Google Cloud data and analytics products. Case in point: Our customer LMIC was aggregating and manually curating large amounts of customer data from several sources on an ongoing basis. They knew they needed a central repository and the right tools for ingesting their data and automating their processes.

Using OAM, we worked with LMIC to truly understand the desired final state of the data hub and what milestones it would take to get there. Then, we helped them migrate and consolidate their data to the cloud and implement Google tools like BigQuery, Cloud Storage, Cloud Run and Cloud Operations—products that helped improve ease of access to data by using intuitive, familiar analytics and visualization tools. Our approach built a foundation that could later be expanded to address LMIC’s growing needs.

“Our technical partnership with Onix has enabled us to build an innovative data lake infrastructure—a new area for our organization. Onix's collaboration and emphasis on customer value has ensured our team developed the capacity to take on ownership of the resources they built and ensure long-term sustainability.”
—Tony Bonen, Acting Executive Director of Research, Data and Analytics, LMIC

Another client, GOBHI, was looking to use advanced analytics and AI/ML, but was held back by business intelligence (BI) and on-prem analytics involving cumbersome, manual processes, maintenance and excessive licensing costs. Onix migrated their workloads to the cloud, consolidated their data in a modern warehouse and, using Google products like Data Catalog and BigQuery, helped improve ease of access to data with intuitive analytics and visualization tools.

As you can see, when you have someone to help you align on targeted business outcomes— someone with vast experience with data analytics, AI/ML capabilities and familiarity with the Google Cloud Platform and Google Cloud products—you can not only do more with your data and analytics, but you can also reduce IT workload, get more powerful insights more quickly, increase productivity and cut costs.

What’s not to like about that?

Learn more about driving better business outcomes in a data-driven world

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Dale Treece, Data & Analytics Practice Lead

Dale Treece is the Data & Analytics Practice Lead at Onix. He has been working with organizations of various sizes to organize, structure, and use their data to advance their business goals for over 35 years. Through data & analytics modernization, Dale helps businesses become agile, ready to scale, accelerate their path to innovation while improving overall performance and reducing costs.

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