April 2024 – 🔴 Red Button Data

ACTIAN Data Analytics Data Integration Data Management data modernization

Apr 30 2024

Leverage Real-Time Analytics for Smarter Decision-Making in Public Services

Consumers and citizens are accustomed to getting instant answers and results from businesses. They expect the same lightning-fast responses from the public sector, too. Likewise, employees at public sector organizations need the ability to quickly access and utilize data—including employees without advanced technical or analytics skills—to identify and address citizens’ needs.

Giving employees the information to meet citizen demand and answer their questions requires public sector organizations to capture and analyze data in real time. Real-time data supports intelligent decision making, automation, and other business-critical functions.

Easily accessible and trusted data can also increase operational effectiveness, predict risk with greater accuracy, and ultimately increase satisfaction for citizens. That data must be secure while still enabling frictionless sharing between departments for collaboration and use cases.

This naturally leads to a pressing question—How can your organization achieve real-time analytics to benefit citizens and staff alike? The answer, at a foundational level, is to implement a modern, high-performance data platform.

Make Efficient Data Utilization a Priority

Achieving a digital transformation in the public sector involves more than upgrading technology. It entails rethinking how services are delivered, how data is shared, and how your infrastructure handles current and future workloads. Too often in public service organizations, just like with their counterparts in the private sector, legacy systems are limiting the effectiveness of data.

These systems lack the scalability and integration needed to support digital transformation efforts. They also face limitations making trusted data available when and where it’s needed, including availability for real-time data analytics. Providing the data, analytics, and IT capabilities required by modern organizations is only possible with a modern and scalable data platform. This type of platform is designed to integrate systems and operations, capture and share all relevant data to predict and respond quickly to changes, and improve service delivery to citizens.

At the same time, modernization efforts that include a cloud migration can be complex. This is often due to the vast amounts of data that need to be moved to the cloud and the legacy systems entrenched in organizational processes. That’s why you need a clear and proven strategy and to work with an experienced vendor to make the transition seamless while ensuring data quality.

Meet Demand for Real-Time Analytics

Hybrid cloud data platforms have emerged as a proven solution for integrating and sharing data in the public sector. By combining on-premises infrastructure with cloud-based services, these platforms offer the flexibility, scalability, and capability to manage, integrate, and share large data volumes.

Another benefit of hybrid solutions is that they allow organizations to optimize their on-premises investments while keeping costs from spiraling out of control in the cloud—unlimited scaling in the cloud can have costs associated with it. Public sector organizations can use a hybrid platform to deliver uninterrupted service, even during peak times or critical events, while making data available in real time for analytics, apps, or other needs.

Smart decision-making demands accurate, trustworthy, and integrated data. This means that upstream, you need a platform capable of seamlessly integrating data and adding new data pipelines—without relying on IT or advanced coding.

Likewise, manual processes and IT intervention will quickly bog down an organization. For example, when a social housing team needs data from multiple systems to ensure buildings meet safety regulations, accessing and analyzing the information might take days or weeks—with no guarantee the data is trustworthy. Automating the pipelines reduces time to insights and ensures data quality measures are in place to catch errors and duplication.

Data integration is essential to breaking down data silos, providing deeper context and relevancy to data, and ensuring the most informed decisions possible. For example, central government agencies can use the data to drive national policies while identifying issues and needs, and strategically allocating resources.

Expect New Value and Use Cases with Real-Time Analytics

Moving from legacy systems to a modern platform and migrating to the cloud at a pace your organization is comfortable with enables a range of benefits:

Lower long-term costs and total cost of ownership (TCO)
Enhanced service delivery
Gain the trust of data users and the public
Have confidence in the data and analytic insights
Immediate scalability coupled with increased flexibility

With a solution like the Actian Data Platform, you can do even more. For example, the platform lets you easily connect, transform, and manage data. The data platform enables real-time data access at scale along with real-time analytics. Public sector organizations can benefit, for instance, by using the data to craft employee benefits programs, housing policies, tax guidelines, and other government programs.

The Actian Data Platform can integrate into your existing infrastructure and easily scale to meet changing needs. The platform makes data easy to use so you can better predict citizen needs, provide more personalized services, identify potential problems, and automate operations.

Taking a modern approach to data management, integration, and quality, along with having the ability to process, store, and analyze even large and complex data sets, allows you to digitally transform faster and be better positioned for intelligent decision making. As the public sector strives to effectively serve the needs of the public in a cost-effective, sustainable, and responsible way, data-driven decision-making will play a greater role for all stakeholders.

The path toward an effective and responsive public sector lies in the power of data and a modern data platform. Our new eBook “Accelerate a Digital Transformation in the UK Public Sector” explains why a shift from legacy technologies to a modern infrastructure is essential for today’s organizations. The eBook shares how local councils and central government organizations can balance the need to modernize with maximizing investments in current on-prem systems, meeting the changing needs of the public, and making decisions with confidence.

The post Leverage Real-Time Analytics for Smarter Decision-Making in Public Services appeared first on Actian.

Smart Data Fingerprinting: The Answer to Data Management Challenges

The world generated 120 zettabytes of data in 2023, on track for a 1.5x growth over two years to exceed 180 zettabytes in 2025. Unfortunately, data management strategies have not kept pace with the evolution and expansion of data, largely continuing to work with old-world processes and structured information stored in historical databases. There is an […]

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The Rise of Augmented Analytics: Combining AI with BI for Enhanced Data Insights

Businesses today are drowning in data. The sheer volume and complexity of information available have made it increasingly difficult for organizations to extract meaningful insights using traditional business intelligence (BI) tools and the expertise of specialized data scientists. This is where augmented analytics comes in. This game-changing technology combines the power of artificial intelligence (AI) […]

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Data Labeling Challenges and Solutions

In the rush to adopt AI across diverse sectors, today’s enterprises face a common hurdle: efficient data labeling at scale. Numerous enterprises are grappling with generating usable data despite having huge amounts of raw information. Organizations are overwhelmed by the influx of image data, highlighting the need to process and label it for practical use. Data […]

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Terms You Should Know If You’re Planning To Use Change Data Capture

If you’ve worked in data long enough, then you’ve likely come across the term change data capture. Often called CDC, change data capture involves tracking and recording changes in a database as they happen, and then transmitting these changes to designated targets. This can be crucial because some pipelines, in particular batch pipelines, don’t capture…
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Apr 26 2024

In life, generally old keys cannot open new doors

To progress and achieve new goals, we must let go of old mindsets, habits, and behaviours that no longer serve us.

Holding onto our past experiences and some historical knowledge can hinder our growth and keep us stuck in familiar but unfulfilling behavioural and mindset patterns. As one evolves and matures and takes on new challenges, one should adapt one’s approach accordingly.

As the saying suggests, trying to use the same “keys” from the past to unlock the doors of the future can be very frustrating and even futile.

To open new doors of opportunity, work, and endeavour, one must be willing to sometimes embrace radical change and embrace new ways of thinking and acting. This may require completely unlearning some of our old and potentially limiting beliefs about ourselves, those around us, and their and our potential. We should not let yesterday’s experiences and mindset dictate today’s possibilities.

Discarding the “dead weight” of a bunch of old keys that jangle our lives, creates cognitive and emotional space for the new keys we need to succeed. This discard could mean breaking old habits, ending toxic relationships and associations, or adopting a fresh perspective.

This all takes work, but the potential rewards in terms of personal growth and new opportunities often make it very worthwhile. The key is to focus on the new vision you have for your life, and take small daily actions to make it a reality.

Swapping out unproductive habits for ones that serve your goals with growth integral to your mindset, accompanied by a consistent effort can often open doors to a better future.

To embark upon this change is not easy, but it may well be necessary for your growth and to release you from being stuck in a rut or dissatisfied with your current circumstances. If these characteristics encumber your daily life, then it’s a sign that it’s time to let go of the old and embrace the new.

It’s important to take an honest look at one’s life and identify the areas that need improvement. Dead-end job, unfulfilling relationship, bad habits? Once we pinpoint the issues, we can start to develop a plan for change.

Letting Go

One of the biggest obstacles to change is our attachment to the past. Humans by their very nature are mostly nostalgic and sentimental.

Nostalgia is such a common human experience, with most people reflecting on the past as often as once a week, according to some studies. This involves sentimentally longing or having an affection for the past, typically for a period or place with happy personal associations. This is often triggered by something reminding an individual of a positive experience from the past, such as songs, smells, photographs, or loneliness. Often it is characterized by bittersweet or even painful memories of the past.

The most nostalgic of us do tend to have certain personality traits, such as daydreaming frequently, being sentimental, overthinking, romanticizing the past, and not liking change. Nostalgia peaks during transitional age ranges like the teens through 20s and over 50. This nostalgia can have both positive and negative effects, positively boosting one’s mood, increasing self-esteem, providing a sense of social support, and helping one cope with difficult life transitions. Excessive nostalgia and dwelling too much on the past may have corrosive negative consequences.

We may cling to old habits, relationships, or beliefs because they feel comfortable and familiar. However, this attachment can prevent us from moving forward and reaching our full potential. It’s important to acknowledge that the past is gone and that we can’t change it but what we can change is our perspective on it.

Instead of viewing the past as a burden, we can see it as a learning experience that has shaped us into who we are today. Letting go of the past, we create space for new opportunities and experiences. We free ourselves from the weight of old baggage and can focus on the present moment and the future.

Growth and Rewards

To open new doors in life, we need to adopt a growth mindset.

This means embracing challenges, learning from mistakes, and continuously striving for improvement.A growth mindset allows us to see obstacles as opportunities for growth rather than roadblocks. When we face a challenge, we can approach it with curiosity and a willingness to learn rather than fear and resistance.Developing a growth mindset also requires us to be receptive to feedback and criticism despite it being hard to hear and accept. That feedback can provide valuable insights into areas where we can improve and inform our growth, we can accelerate our progress and open new doors more quickly with new keys.

Change is tied to action, so it’s not enough to simply think about the changes we want to make; we need to take concrete steps to make them happen – one way is with setting clear goals for ourselves. Understanding where we want to go and what we want to achieve. Understanding what we think success looks like. By setting specific, measurable goals, we can create our own personal roadmap for growth to help us stay focused on the path ahead.

Another important action is to develop a support system; seeking out supportive friends, family, or mentors who can make a difference in terms of providing emotional support and perhaps other kinds of support too. These people can provide encouragement, advice, and accountability as we work towards our goals.

Finally, it’s important to celebrate one’s progress and successes along the way; since change is a journey, it’s important to acknowledge the small wins that keep us motivated and inspired and celebrate our achievements, from which we can build momentum and stay focused on the bigger picture.

Understanding Linear Regression Intercepts in Plain Language

I am often asked about the role of intercepts in linear regression models – especially the negative intercepts. Here is my blog post on that topic in simple words with minimal statistical terms. Regression models are used to make predictions. The coefficients in the equation define the relationship between each independent variable and the dependent variable. […]

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Human-AI Collaboration: How AI Can Enhance Human Capabilities and Ethical Considerations

Artificial intelligence is here to change the world, and it is up to us to embrace this technology and use it responsibly to reap its full potential. Although critics have expressed some valid concerns about the potential harm that AI technology could bring about, fostering an AI-human collaboration can allow us to use this powerful […]

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Delivering Personalized Customer Experiences through Centralized Data Management with Pretectum CMDM

Pretectum’s Composable Customer Master Data Management (CMDM) platform is a strategic solution that helps organizations centralize and manage customer data to deliver personalized experiences, ensure data accuracy and compliance, and drive revenue growth

The platform provides a centralized repository that integrates customer information from various sources

This enables businesses to have a holistic view of each customer, facilitating better organizational decision-making, customer interaction, and more personalized experiences

Key features of Pretectum CMDM include data modeling, enrichment, maintenance, quality management, golden record management and data stewardship

It serves diverse stakeholders including sales, marketing, service and partners

The composable architecture allows configuring the solution to specific business needs

It follows five core principles: collection, consolidation, cleaning, control, and compliance

Pretectum recommends a centralized implementation approach for maximum control, while also supporting registry, consolidated and co-existent deployment models

The architecture enables both vertical and horizontal scalability to accommodate growing data volumes and business expansion

The platform provides tools for defining data governance policies, quality rules, and ownership responsibilities
It enables active data governance with clear ownership and accountability for customer data across the organization

Pretectum CMDM is a strategic solution that helps organizations centralize and manage customer data to deliver personalized experiences, ensure data quality and compliance, and drive revenue growth through a flexible, scalable and composable platform.

Visit https://www.pretectum.com/datasheets/ to learn more

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SEATTLEDATAGUY

Apr 25 2024

Apache Spark Vs Apache Flink – What Is The Difference?

As data increased in volume, velocity, and variety, so, in turn, did the need for tools that could help process and manage those larger data sets coming at us at ever faster speeds. As a result, frameworks such as Apache Spark and Apache Flink became popular due to their abilities to handle big data processing…
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AI analytics Analytics Blogs Analytics News, Articles, & Education Data Blogs | Information From Enterprise Leaders Data Education DATAVERSITY Enterprise Information Management Information Management Blogs predictive analytics predictive maintenance

Apr 25 2024

Preparing for La Niña: Adopting Predictive Maintenance Before Hurricane Season

With a La Niña watch issued for the summer, businesses operating in hurricane-prone regions face heightened concerns about the impending storm season. La Niña heavily impacts the wind shear and atmospheric conditions over the Atlantic, where most hurricanes form thanks to its warm waters. It’s rare to go a year without a hurricane hitting some part of […]

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How AI Can Improve Company Performance Through Better DEX

In tech circles these days, one topic drives every conversation: artificial intelligence (AI). Whether discussing the potential benefits of increased productivity or the potential risks, the role of AI in business is on the minds of everyone, from C-suite leaders to recent college graduate hires. AI is a hot topic because while people can see […]

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8 Key Reasons to Consider a Hybrid Data Integration Solution

The guide “8 Key Reasons to Consider a Hybrid Data Integration Solution” delves deeply into the complexities of managing vast and diverse data environments, particularly emphasizing the merits for data engineers working with on-premises data systems. This comprehensive guide illustrates how hybrid data integration not only addresses existing challenges but also prepares organizations for future data management needs.

One of the primary challenges highlighted in the guide is data fragmentation. Organizations today often operate on a mix of on-premises and cloud-based systems, leading to isolated data silos that can hinder efficient data utilization and business operations. Hybrid data integration solutions bridge these gaps, enabling seamless communication and data flow between disparate systems. This integration is crucial for supporting robust analytics and business intelligence capabilities, as it ensures that data from various sources can be consolidated into a cohesive, accessible format.

Data Processing, Security, and Compliance

Resource utilization is another significant aspect addressed by hybrid data integration. This approach allows data engineers to optimally allocate computing resources based on specific needs. For example, processing large volumes of data or handling peak loads may be more feasible using cloud resources due to their scalability and cost-effectiveness. Conversely, certain operations might be better suited to on-premises environments due to performance or security considerations. By balancing these resources, organizations can achieve a more efficient and cost-effective operation.

Security and compliance are paramount in data management, especially with the increasing emphasis on data privacy regulations across different regions. Hybrid data integration systems facilitate adherence to such regulations by enabling organizations to store and manage data in a manner that complies with local data sovereignty laws. Furthermore, these systems enhance data security through advanced measures such as encryption and detailed access controls, ensuring that sensitive information is protected across all environments.

Improving Resource Management

Business agility is greatly enhanced through hybrid data integration. The flexibility provided by these systems allows organizations to swiftly adapt to changing business conditions and data requirements. Whether scaling up operations to meet increased demand or integrating new technologies, hybrid solutions offer the agility needed to respond effectively to dynamic market conditions. This adaptability is crucial for maintaining competitiveness and operational efficiency.

Cost management is another benefit of hybrid data integration. By leveraging the specific advantages of both on-premises and cloud environments, organizations can optimize their operational expenditures. Cloud environments, for instance, allow for scaling resources up or down based on current needs, which can significantly reduce costs during periods of low demand. Conversely, maintaining critical operations on-premises can mitigate risks associated with third-party services and fluctuating cloud pricing models.

Building a Better Business Ecosystem

The guide also discusses the importance of digital ecosystems and the integration of services from various external partners. Hybrid data integration supports these efforts by enabling seamless data exchanges and collaborations, thereby expanding business capabilities and facilitating entry into new markets or sectors.

Self-service integration capabilities are emphasized as a key feature of modern hybrid systems. These allow business users and departmental staff to manage their integration tasks directly, which speeds up processes and enhances overall business agility. The empowerment of non-specialist users to perform complex integrations democratizes data handling and accelerates decision-making processes.

Lastly, the guide touches on the future-proof nature of hybrid data integration solutions. As technologies evolve, organizations equipped with hybrid systems can easily integrate new tools and platforms without needing to overhaul their existing data infrastructure. This readiness not only protects the organization’s investment in technology but also ensures it can continuously adapt to the latest innovations and industry standards.

In conclusion, hybrid data integration offers a versatile and strategic solution for managing complex data environments, particularly benefiting organizations that manage a blend of on-premises and cloud-based data systems. Actian Data Platform, a hybrid data integration solution addresses the multifaceted challenges presented throughout the guide. For data engineers dealing with data that resides on-premises, in the cloud, and in hybrid environments, downloading the “8 Key Reasons to Consider a Hybrid Data Integration Solution” guide is an essential step towards developing a future-proof data strategy.

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Signal vs. Noise: Balancing On-Call Hygiene for Data-Driven Teams

In the real-time software world, 24×7 uptime is critical for core software where millions of transactions occur every second. In 2018, Amazon’s Prime Day event experienced a 13-minute outage that, according to some estimates, may have cost the company up to $99 million in lost sales. Reliability is paramount when the business depends on it […]

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Good Data Quality Is the Secret to Successful GenAI Implementation

You wouldn’t build a house without a concrete foundation. So why are many technology leaders attempting to adopt GenAI technologies before ensuring their data quality can be trusted? Reliable and consistent data is the bedrock of a successful AI strategy. Incomplete or inconsistent data prompts GenAI models to propose equally unreliable outputs, calling the basic […]

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To the cloud no more? That is the question.

Cloud computing has undergone a remarkable transformation over the past decade.

What was once hailed as a panacea for companies struggling with the high costs and unsustainability of on-premise IT infrastructure has now become a more nuanced and complex landscape. Businesses continue to grapple with the decision to migrate to the cloud or maintain a hybrid approach, the complexity, costs and risk are essential to understand the evolving dynamics and the potential pitfalls that lie ahead.

The initial appeal of cloud solutions was undeniable.

By offloading the burden of hardware maintenance, software updates, and data storage to cloud providers, companies could focus on their core business activities and enjoy the benefits of scalability, flexibility, and cost optimization. The cloud promised to revolutionize the way organizations managed their IT resources, allowing them to adapt quickly to changing market demands and technological advancements.

However, not all businesses have fully embraced the cloud, especially when it comes to their mission-critical systems. Companies that handle sensitive or proprietary data have often been more cautious in their approach, opting to maintain a significant portion of their operations on-premise. These organizations may have felt a sense of vindication as they watched some of their cloud-first counterparts grapple with the complexities and potential risks associated with entrusting such critical systems to third-party providers.

The recent news from Basecamp, for example, was driven by spiraling costs, irrespective of the cloud provider (they tried AWS and GCP). Thus, Basecamp decided to leave the cloud computing model and move back to on-premise infrastructure to contain costs, reduce complexity, avoid hidden costs, and retain margin. This way they felt that they had more control of the delivery and sustainment outcomes.

The Ongoing Costs of Cloud-First Strategies

Cloud bills, for example, can comprise hundreds of millions or billions of rows of data, making them difficult to analyze in traditional tools like Excel and cloud computing reduces upfront startup costs, including setup and maintenance costs, with 94% of IT professionals reporting this benefit. Accenture for example, found cloud migration leads to 30-40% Total Cost of Ownership (TCO) savings.

As many as 60% of C-suite executives also cite security as the top benefit of cloud computing, ahead of cost savings, scalability, ease of maintenance, and speed.

The private cloud services market for example, is projected to experience significant growth in the coming years. According to Technavio, the global private cloud services market size is expected to grow by $276.36 billion from 2022 to 2027, at a CAGR of 26.71%.

The cloud of course supports automation, reducing the risk of human errors that cause security breaches and accoridnly the platforms help capture the cost of tagged, untagged, and untaggable cloud resources, as well as allocate 100% of shared costs. For those organizations that have wholeheartedly adopted a cloud-first strategy, the operational budgets for cloud technologies have often continued to climb year-over-year.

Instead of fully capitalizing on the advances in cloud technology, these companies may find themselves having to maintain or even grow their cost base to take advantage of the latest offerings. The promise of cost savings and operational efficiency that initially drew them to the cloud may not have materialized as expected.

As this cloud landscape continues to evolve, a critical question arises: is there a breaking point where cloud solutions may become unviable for all but the smallest or most virtualized cloud-interwoven businesses?

This concern is particularly relevant in the context of customer data management, where the increasing number of bad actors and risk vectors, coupled with the growing web of regulations and restrictions at local, regional, and international levels, can contribute to a sense of unease about entrusting sensitive customer data to cloud environments.

The Evolving Regulatory Landscape & Cyber threats

The proliferation of data privacy regulations, such as the General Data Protection Regulation (GDPR) in Europe and the California Consumer Privacy Act (CCPA) in the United States, has added a new layer of complexity to the cloud adoption equation.

These regulations, along with a growing number of industry-specific compliance requirements, have placed significant demands on organizations to ensure the security and privacy of the data they handle, regardless of where it is stored or processed.For businesses operating in multiple jurisdictions, navigating the web of regulations can be a daunting task, as the requirements and restrictions can vary widely across different regions.

Failure to comply with these regulations can result in hefty fines, reputational damage, and even legal consequences, making the decision to entrust sensitive data to cloud providers a high-stakes proposition.

Alongside the evolving regulatory landscape, the threat of cyber attacks has also intensified, with bad actors constantly seeking new vulnerabilities to exploit.

Cloud environments, while offering robust security measures, are not immune to these threats, and the potential for data breaches or system compromises can have devastating consequences for businesses and their customers.

The growing sophistication of cyber attacks, coupled with the increasing value of customer data, has heightened the need for robust security measures and comprehensive risk management strategies. Companies must carefully evaluate the security protocols and safeguards offered by cloud providers, as well as their own internal security practices, to ensure the protection of their most valuable assets.

Balancing Innovation and Risk Management

In light of these challenges, many businesses are exploring hybrid approaches that combine on-premise and cloud-based solutions.

This strategy allows organizations to maintain control over their mission-critical systems and sensitive data, while still leveraging the benefits of cloud computing for less sensitive or more scalable workloads.

Some companies are also taking a more selective approach to cloud adoption, carefully evaluating which workloads and data sets are suitable for cloud migration.

By adopting a risk-based approach, they can balance the potential benefits of cloud solutions with the need to maintain a high level of control and security over their most critical assets.

As the cloud landscape continues to evolve, it is essential for businesses to carefully evaluate their cloud strategies and adapt them to the changing circumstances.

This may involve regularly reviewing their cloud usage, cost optimization strategies, and the evolving regulatory and security landscape to ensure that their cloud solutions remain aligned with their business objectives and risk tolerance.Regular monitoring and assessment of cloud performance, cost-effectiveness, and security posture can help organizations identify areas for improvement and make informed decisions about their cloud investments.

Collaboration with cloud providers and industry experts can also provide valuable insights and best practices to navigate the complexities of the cloud ecosystem.

As the cloud landscape continues to evolve, it is clear that the path forward will not be a one-size-fits-all solution.

Businesses must be careful in weighing the potential benefits of cloud adoption against the risks and challenges that come with entrusting their critical data and systems to third-party providers.The future of cloud solutions will likely involve a more nuanced and balanced approach, where organizations leverage the power of cloud computing selectively and strategically, while maintaining a strong focus on data security, regulatory compliance, and risk management.

Collaboration between businesses, cloud providers, and regulatory bodies will likely be crucial in shaping the next chapter of the cloud revolution, ensuring that the benefits of cloud technology are realized in a secure and sustainable manner.

10 Great Videos To Help You Learn Data Engineering

How data is structured, managed and processed will continue to grow in importance as the demand for AI and machine learning increase. It’s unavoidable that as businesses demand that their data teams implement AI, they will also realize that data engineers are a crucial piece of the data pipeline. That means, if you’re looking for…
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Apr 19 2024

Inspiring Others: The Art of Transforming Passion into Shared Vision

Leaders are often driven by a deep, unwavering passion for their cause, political position, product, or objective.

This dedication can be a powerful force, fuelling determination and propelling them towards their goals. However, this very passion can also become a source of frustration when others fail to share the same level of enthusiasm.

It can be disheartening for leaders when employees are not as excited about new initiatives, when family members do not fully support their efforts, or when outsiders seem disinterested in engaging with the leader’s agenda.

Such a lack of shared passion can leave the leader feeling alone, angry, misunderstood, and under-appreciated. While it is tempting to argue, debate, or pressure others into aligning with one’s vision, this approach often proves counterproductive.

Overcoming this frustration lies in the one’s ability to inspire others, rather than simply asserting their own desires. Inspiring leaders understand that the most effective way to achieve their goals is to focus on what others want, rather than solely on their own agenda.

By explaining one’s passion in the language and perspective of those you seek to influence, you can create a shared vision that resonates with the needs and desires of your audience.

Connecting the collective’s needs and dsires

One of the hallmarks of an inspiring leader is often their ability to shift the conversation focus from themselves to that of the collective.

Instead of simply extolling the virtues of their own position or product, they take the time to understand the needs, concerns, and aspirations of those they wish to engage. In the absence of this, you have tghe master-serf relationship where employees in particular are just wage-slaves; or in clubs or societies where the leader is the prophet and the others are just acolytes or disciples.

By doing so, a leader can craft a narrative that speaks directly to the interests and motivations of those around them; but it needs to be grounded in everyone’s reality.

“The more scarce and valuable commodity is cold-shower-self-honesty”

Joel Runyon

Rather than relying just on passion alone, inspiring leaders are willing to step back and critically examine their own circumstances, their assumptions, biases, and communication strategies. They recognize that their personal enthusiasm, while genuine, may not be enough to sway others who have different priorities and perspectives.

The Shared Vision

By focusing on the needs and desires of the team, an inspiring leader is able to craft a shared vision that aligns with the goals and personal and collective aspirations of those around them.

This shared vision becomes a powerful tool for overcoming the frustration that can arise when others do not immediately embrace the leader’s passion.Rather than simply pushing their own agenda, inspiring leaders take the time to understand what motivates their employees, family members, or external stakeholders. They then weave these insights into a narrative that highlights how the leader’s vision can help others achieve their own objectives.

Such an approach creates a sense of mutual investment and shared purpose, fostering a collaborative environment where everyone feels invested in the success of the endeavor.

Empathy and Emotional Connection

Inspiring leaders often understand that passion alone is not enough to drive meaningful change.

Recognizing the importance of empathy and emotional connection in engaging others and cultivating a shared vision, they actively listen to the concerns and perspectives of others, they are able to tailor their message in a way that resonates on a deeper level.

An emotional connection is crucial in overcoming the frustration that can arise when others do not immediately share the same passion. By demonstrating a genuine understanding of the challenges and aspirations of their audience, inspiring leaders are able to build trust and foster a sense of shared purpose. This, in turn, helps to overcome resistance and create a collaborative environment for all.

The Art of Inspiration

Inspiring leaders understand that the role is not to simply assert their own desires, but to create a compelling vision that aligns with the needs and aspirations of those they seek to influence.

This requires a delicate balance of passion, empathy, and strategic communication.

A focus on “them” speaks directly to the concerns and motivations of others. The most valuable commodity is not just passion, but the willingness to engage in that “cold-shower-self-honesty” – critically examining own assumptions, biases, and communication strategies.

A process of self-reflection and audience-centric communication, inspiring leaders are able to overcome the frustration that can arise when others do not immediately share their passion and potential impatience.

A shared vision that resonates with the needs and desires of their audience fosters collaborative environment where everyone feels invested in the success of the endeavor.

Ultimately, the art of inspiration is not about forcing others to conform to the leader’s agenda, but about cultivating a shared sense of purpose and mutual investment and having everyone else naturally come together on the journey of exploration, discovery and execution. Only through connecting with the needs and desires of others, inspiring leaders are able to achieve greater success and create lasting change.

Why Selecting the Appropriate Data Governance Operating Model Is Crucial

To embark on data governance in an enterprise that spans divisions and diverse stakeholders, a well-defined operating model plays a vital role in achieving expected business benefits. Data mesh is a new concept that encourages data democratization within an organization in a decentralized way by promoting data products. Unlike the vintage architecture, which is centralized, data mesh […]

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Data-Driven Defense: AI as the New Frontier in Business Security

Major business setbacks due to risk management failures happen every year. They are also some of the costliest, adding up to millions of dollars in regulatory fines, lawsuits, payouts, and lost brand value. Leaders want to avoid these types of issues and rely on sound internal data management to mitigate risk and maintain confidence and […]

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Why Total Cost of Ownership Is a Critical Metric in High-Availability Databases

In the world of data management, the focus often zeroes in on the performance, scalability, and reliability of database systems. Total cost of ownership (TCO) is a crucial aspect that should hold equal – if not more – importance. TCO isn’t just a financial metric; it’s a comprehensive assessment that can significantly impact a business’s […]

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The End of Agile – Part 3 (What Is Agile Really?)

In the first article, I laid out the basic premise for this series: an examination of how Agile has gone from the darling of the application development community to a virtual pariah that nobody wants to be associated with, and an exploration of the very important question of what we should replace it with. We […]

Data Lifecycle Management: Optimizing Data Storage, Usage, and Disposal

The use of data worldwide for business and recreation has exploded in the last decade, with an estimated 328.77 million terabytes of data created every single day globally. In 2024, experts predict that nearly 120 zettabytes of new data will be created. All of this data creation has also created a substantial storage problem for […]

Crossing the Data Divide: AI Data Assistants — A Data Leader’s Force Multiplier

The focus of my last column, titled Crossing the Data Divide: Data Catalogs and the Generative AI Wave, was on the impact of large language models (LLM) and generative artificial intelligence (AI) and how we disseminate knowledge throughout the enterprise and the future role of the data catalogs. Spoiler alert if you have not read […]

Data Governance Made Simple

Those of us in the field of enterprise data management are familiar with the many authors contributing their knowledge and expertise to the data management body of knowledge.[1] We are also very familiar with the many, varied, and often conflicting ways in which data management terms are used. “Data architecture,” “data integration,” and even terms […]

🔴 Red Button Data

🔴 Red Button Data

Monthly Archives: April 2024

Make Efficient Data Utilization a Priority

Meet Demand for Real-Time Analytics

Expect New Value and Use Cases with Real-Time Analytics

Letting Go

Growth and Rewards

Data Processing, Security, and Compliance

Improving Resource Management

Building a Better Business Ecosystem

The Ongoing Costs of Cloud-First Strategies

The Evolving Regulatory Landscape & Cyber threats

Balancing Innovation and Risk Management

Connecting the collective’s needs and dsires

The Shared Vision

Empathy and Emotional Connection

The Art of Inspiration