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How to Foster a Cross-Organizational Approach to Data Initiatives


In today’s business landscape, data reigns supreme. It is the cornerstone of effective decision-making, fuels innovation, and drives organizational success. However, despite its immense potential, many organizations struggle to harness the full power of their data due to a fundamental disconnect between IT and business teams. This division not only impedes progress but also undermines […]

The post How to Foster a Cross-Organizational Approach to Data Initiatives appeared first on DATAVERSITY.


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Author: Abhas Ricky

Data Errors in Financial Services: Addressing the Real Cost of Poor Data Quality
Data quality issues continue to plague financial services organizations, resulting in costly fines, operational inefficiencies, and damage to reputations. Even industry leaders like Charles Schwab and Citibank have been severely impacted by poor data management, revealing the urgent need for more effective data quality processes across the sector.  Key Examples of Data Quality Failures  — […]


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Author: Angsuman Dutta

How Data is Revolutionizing Transportation and Logistics

In today’s fast-paced world, the transportation and logistics industry is the backbone that keeps the global economy moving. Logistics is expected to be the fastest-growing industry by 2030. As demand for faster, more efficient, and cost-effective services grows, you’ll need to be able to connect, manage, and analyze data from all parts of your business to make fast, efficient decisions that improve your supply chain, logistics, and other critical areas.  

Siloed data, poor data quality, and a lack of integration across systems can hinder you from optimizing your operations, forecasting demand accurately, and providing top-tier customer service. By leveraging advanced data integration, management, and analytics, you can transform these challenges into opportunities, driving efficiency, reliability, and customer satisfaction. 

The Challenges: Harnessing Data in Transportation and Logistics 

One of the most significant hurdles in the transportation and logistics sector is accessing quality data across departments. Data is often scattered across multiple systems—such as customer relationship management (CRM), enterprise resource planning (ERP), telematics systems, and even spreadsheets—without a unified access point. This fragmentation creates data silos, where crucial information is isolated across individuals and business units, making it difficult for different departments to access the data they need. For instance, the logistics team might not have access to customer data stored in the CRM, which can hinder their ability to accurately plan deliveries, personalize service, proactively address potential issues, and improve overall communication.   

Furthermore, the lack of integration across these systems exacerbates the problem of fragmented data. Different data sources often store information in varied and incompatible formats, making it challenging to compare or combine data across systems. This leads to inefficiencies in several critical areas, including demand forecasting, route optimization, predictive maintenance, and risk management. Without a unified view of operations, companies struggle to leverage customer behavior insights from CRM data to improve service quality or optimize delivery schedules, and face other limitations.  

The Impact: Inefficiencies and Operational Risks 

The consequences of these data challenges are far-reaching. Inaccurate demand forecasts can lead to stockouts, overstock, and poor resource allocation, all of which directly impact your bottom line. Without cohesive predictive maintenance, operational downtime increases, negatively impacting delivery schedules and customer satisfaction. Inefficient routing, caused by disparate data sources, results in higher fuel costs and delayed deliveries, further eroding profitability and customer trust. 

Additionally, the lack of a unified customer view can hinder your ability to provide personalized services, reducing customer satisfaction and loyalty. In the absence of integrated data, risk management becomes reactive rather than proactive, with delayed data processing increasing exposure to risks and limiting your ability to respond quickly to emerging threats. 

The Solution: A Unified Data Platform 

Imagine a scenario where your transportation and logistics operations are no longer bogged down by data fragmentation and poor integration. With a unified view across your entire organization, you can access accurate, real-time insights across the end-to-end supply chain, enabling youto make data-driven decisions that reduce delays and improve overall efficiency. 

A unified data platform integrates fragmented data from multiple sources into a single, accessible system. This integration eliminates data silos, ensuring that all relevant information—whether from CRM, ERP, telematics, or GPS tracking systems—is available in real-time to decision-makers across your organization.

For example, predictive maintenance becomes significantly more effective when historical data, sensor data, and telematics are integrated and analyzed consistently. This approach minimizes unplanned downtime, extends the lifespan of assets, and ensures that vehicles and equipment are always operating at peak efficiency, leading to substantial cost savings.  

Similarly, advanced route optimization algorithms that utilize real-time traffic data, weather conditions, and historical delivery performance can dynamically adjust routes for drivers. The result is consistently on-time deliveries, reduced fuel costs, and enhanced customer satisfaction through reliable and efficient service. 

A unified data platform also enables the creation of a 360-degree customer view by consolidating customer data from various touchpoints—such as transactions, behaviors, and support interactions—into a comprehensive and up-to-date profile. This holistic view allows you to offer personalized services and targeted marketing, leading to higher customer satisfaction, increased loyalty, and more successful sales strategies. 

Proactive risk management is another critical benefit of a unified data platform. By analyzing real-time data from multiple sources, you can identify potential risks before they escalate into critical issues. Whether you’re experiencing supply chain disruptions, regulatory compliance challenges, or logistical issues, the ability to respond swiftly to emerging risks reduces potential losses and ensures smooth operations, even in the face of unforeseen challenges. 

Face the Future of Transportation and Logistics With Confidence  

As the transportation and logistics industry continues to evolve, the role of data will only become more critical. The Actian Data Platform can help you overcome the current challenges of data fragmentation, poor quality, and lack of integration in addition to helping you position yourself at the forefront of innovation in the industry. By leveraging data to optimize operations, improve customer service, and proactively manage risks, you will achieve greater efficiency, cost-effectiveness, and customer satisfaction—driving greater success in a competitive and dynamic market.

The post How Data is Revolutionizing Transportation and Logistics appeared first on Actian.


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Author: Kasey Nolan

End the Tyranny of Disaggregated Data


Customer renewal rates are dropping, and your CEO is on the warpath. You need to find out why and fast. At most large companies, that is a pretty tall task. Information about customers is likely scattered across an assortment of applications and devices ranging from your customer relationship management system to logs from customer-facing applications, […]

The post End the Tyranny of Disaggregated Data appeared first on DATAVERSITY.


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Author: Tom Batchelor

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

Why Is Data Quality Still So Hard to Achieve?


We exist in a diversified era of data tools up and down the stack – from storage to algorithm testing to stunning business insights. In fact, it’s been more than three decades of innovation in this market, resulting in the development of thousands of data tools and a global data preparation tools market size that’s set […]

The post Why Is Data Quality Still So Hard to Achieve? appeared first on DATAVERSITY.


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Author: Vasu Sattenapalli

9 Best Practices for Real-Time Data Management


In the era of digital transformation, data has become the new oil. Businesses increasingly rely on real-time data to make informed decisions, improve customer experiences, and gain a competitive edge. However, managing and handling real-time data can be challenging due to its volume, velocity, and variety. This article will guide you through nine best practices […]

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Author: Anas Baig

Usability and Connecting Threads: How Data Fabric Makes Sense Out of Disparate Data


Generating actionable insights across growing data volumes and disconnected data silos is becoming increasingly challenging for organizations. Working across data islands leads to siloed thinking and the inability to implement critical business initiatives such as Customer, Product, or Asset 360. As data is generated, stored, and used across data centers, edge, and cloud providers, managing a […]

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Author: Doug Kimball

Vendor-Agnostic Multi-Cloud Management Is a True Game Changer


Global spending on public cloud in 2023 will grow by an estimated 20.7% to $591.8 billion, according to Gartner. The benefits of cloud migration are well known. Inherent variable cost structures enable businesses to evolve away from the traditional fixed-cost methods of managing IT infrastructure, adopting cloud-first models that are controllable, agile, and secure; enable operations to readily scale as needed; and optimize […]

The post Vendor-Agnostic Multi-Cloud Management Is a True Game Changer appeared first on DATAVERSITY.


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Author: Tejpal Chadha

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