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Reimagining Data Strategy to Unlock AI’s Potential


Data: The currency powering the modern digital economy. In a world generating 3.5 quintillion bytes of data every day, one reality is clear – we’re surrounded by a sea of information. While this abundance of data presents immense opportunities, businesses often struggle to fully capitalize on its potential for informed decision-making and strategic insights.

Consider this. While data is perhaps every company’s most valuable asset for enabling a growth-driving customer experience…

The post Reimagining Data Strategy to Unlock AI’s Potential appeared first on DATAVERSITY.


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Author: Raj De Datta

Unleashing the Power of AI in Life Sciences


The life sciences industry is generating an increasing number of data points a day. While this data is essential to helping organizations make insight-informed decisions about critical operations, such as in clinical trial development, it is also proving to be a complex and daunting task, taking a significant toll on sponsors and clinical sites. In their quest […]

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Author: Tim Riely

Data Management Predictions for 2024: Five Emerging Trends


As we near the end of 2023, it is imperative for Data Management leaders to look in their rear-view mirrors to assess and, if needed, refine their Data Management strategies. One thing is clear; if data-centric organizations want to succeed in 2024, they will need to prepare for an environment in which data is increasingly […]

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Author: Angel Viña

Data Governors, First Govern Yourselves


Data Governance, as currently practiced, is failing. There have been some successes, but by and large, even these efforts have fallen short. Worse, many of those tasked with contributing to Data Governance find the effort painful.  We have enormous sympathy for data governors. (We use the term “data governors” – DGs – as the most […]

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Author: John Ladley and Thomas Redman

Implementing an Effective Data Strategy
According to the authors of “Data Is Everybody’s Business,” a data strategy “lays out an organization’s goals and plans for managing and exploiting data.” So, where are chief information officers (CIOs) at in facilitating a data strategy with their business counterparts? What things get in the way the most? And, of course, what advice do […]


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Author: Myles Suer

Crossing the Data Divide: Framework for Selling Data Initiatives
Deja Vu All Over Again Something interesting has been happening to me over the last few months that I’ve not experienced in a while. Smart and experienced CIOs and their data leaders have been asking me for input regarding how to sell the value of a data program. The question is a clear sign of […]


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Author: John Wills

The Book Look: Data Strategies for Data Governance
What makes a data book great? Our time is valuable, so a good data book should be concise and practical. It should show us how to do something, step by step, so we can apply the techniques to reinforce and always remember. The experiences of the author should shine through in every chapter. It should […]


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Author: Steve Hoberman

Is Your Data Ready for Generative AI?


Generative AI (GenAI) is all the rage in the world today, thanks to the advent of tools like ChatGPT and DALL-E. To their credit, these innovations are extraordinary. They’ve put the power of artificial intelligence and machine learning (AI/ML) into the hands of everyday users. However, these tools have also skewed our perceptions of what […]

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Author: Jeff Carson

Data Driven Customer Retention Strategies
Data driven marketing strategies supported by customer insights can significantly boost the customer experience, leading to higher customer retention rates. Each customer, or customer segment, is unique, and it is necessary to understand the behaviors and needs of each segment to truly connect with them on a personal level that keeps them coming back for […]


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Author: Ainsley Lawrence

Strong AI/ML Must Be Founded on a Strong Data Strategy


The list of use cases powered by artificial intelligence (AI) and machine learning (ML) technologies is growing exponentially across nearly every business sector. Enterprises of all kinds are leveraging these advanced capabilities and scaling them through automation to improve business process management, sharpen organizational strategies, and reap more analytical and predictive insights from data for […]

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Author: Adam Glaser

Unlocking Success with Digital Transformation: A Strategic Roadmap for the Board


Digital transformation presents organizations with immense opportunities, but seizing them requires a strategic approach and careful selection of appropriate technologies. A recent study conducted by Deloitte that examined financial disclosures from over 4,000 global organizations, spanning a decade, revealed that “the right combination of digital transformation actions can unlock as much as $1.25 trillion in additional market […]

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Author: Sanjay Jain

Best Practices for Migrating Applications to the Cloud
It is no secret that cloud migration and transformation helps your business attain desired growth, cost savings, agility, and profitability. With these, your team is able address customer needs faster, monitor app performance, and scale applications according to demand. App migration can be time-consuming, and you cannot afford to mess with the process. And a […]


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Author: Rebecca Grey

3 Data Strategy Pitfalls


Welcome to the Lights On Data Show, where today we delve into the topic of data strategy pitfalls. Joining us is Dora Boussias, an esteemed expert in the field of data strategy. Dora has an impressive background in IT and a deep understanding of the critical role data plays in organizations. Let’s explore the three […]

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Author: George Firican

Why Good Data Management Matters Now More Than Ever


In the early days of business analysis and underwriting, data was managed with simply a pen and paper and, of course, Excel spreadsheets. As technology has advanced, databases, warehouses, and data lakes have enabled information to be collected, stored, and managed electronically. But as businesses have rapidly increased the volume, velocity, and variety of data […]

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Author: Jennifer Agnes

Are you Building Your Data Strategy to Scale?

A data strategy is a long-term plan that defines the infrastructure, people, tools, organization, and processes to manage information assets. The goal of a data strategy is to help a business leverage its data to support decision making. To make the plan a reality, the data strategy must scale. Here are a few pointers on how to achieve this:

Infrastructure

The right infrastructure is necessary to give an organization the foundation it needs to scale and manage data and analytics across the enterprise. A modern cloud data platform will make it easy to scale with data volumes, reuse data pipelines and ensure privacy and regulations are met while also making sure that data is accessible to analysts and business users. The platform should use cloud native technologies that allow an organization to build and run scalable data analytics in public, private, and hybrid clouds.

People

The talent shortage for analysts and data scientists, particularly for advanced analytics requiring knowledge of artificial intelligence, is a big challenge. With the U.S. Bureau of Labor Statistics projecting a growth rate of nearly 28% in the number of jobs requiring data science skills by 2026, the shortage will continue to grow.

To cope with the shortage, businesses will need to invest more in training and education. The more teams know about advanced data analytics techniques and how to use and interpret data, the more value an organization can derive from its data. Also, with demand for analytics skills far exceeding supply, organizations will need to make of the talent pool they already have.

Tools

A cost-optimal solution should not only process data analytics workloads cost effectively, but also include data integration, data quality, and data management that add more costs, and complexity when sourced from multiple vendors. However, there is no such thing as a one-size fits-all tool when it comes to analytics. Increasingly, organizations are adding many types of advanced analytics such as machine learning to their analytics tool portfolio to identify patterns and trends in data that help optimize various aspects of the business.

Businesses will also need to devise strategies for users to easily access data on their own so that limited technical staff doesn’t bottleneck data analytics. Embedded analytics and self-service help support the needs of data democratization. Self-service gives users insights faster so businesses can realize the value of data faster. Analytics embedded within day-to-day tools and applications deliver data in the right context, allowing users to make better decisions faster

Organization

For a data strategy to scale, an organization needs to build a data driven culture. Transitioning to a data driven approach requires a corporate cultural change where leadership views data as valuable, creates greater awareness of what it means to be data driven and develops and communicates a well-defined strategy.

Processes

There are many processes involved in a scalable data strategy. Data governance is particularly critical to democratizing data while protecting privacy, complying with regulations, and ensuring ethical use. Data governance establishes and enforces policies and processes for collecting, storing, using, and sharing information. These include assigning responsibility for managing data, defining who has access to data and establishing rules for usage and protection.

Get Started with the Avalanche Cloud Data Platform

The Avalanche Cloud Data Platform provides data integration, data management, and data analytics services in a single platform that offers customers the full benefits of cloud native technologies. It can quickly shrink or grow CPU capacity, memory, and storage resources as workload demands change. As user load increases, containerized servers are provisioned to match demand. Storage is provisioned independently from compute resources to support compute or storage-centric analytic workloads. Integration services can be scaled in line with the number of data sources and data volumes.

Contact our enterprise data management experts for a free trial of the Avalanche Cloud Data Platform.

The post Are you Building Your Data Strategy to Scale? appeared first on Actian.


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Author: Teresa Wingfield

How to Become a Data-Driven Organization


A data-driven organization recognizes the importance of collecting raw data and understands that it shouldn’t make business decisions using raw data alone. Instead, they collect, analyze and derive insights from data to address business problems, identify new growth opportunities, and drive profitability. In essence, data-driven organizations use data for several use cases, such as analyzing […]

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Author: George Firican