Features

Features

• The future of quantum data centers: Resilience and risk

  The quantum outlook calls for close ties with classical computing, even as it tops standard IT in some use cases. Businesses can benefit but must address post-quantum security.  Continue Reading

• 12 enterprise data backup challenges and how to overcome them

  The virtues of backing up and securing data are well founded, but getting there is no easy feat. Storage capacity, floods of data and infrastructure costs are among the pitfalls.  Continue Reading

• The cost of downtime and how businesses can avoid it

  Disrupted operations cost businesses billions of dollars annually. Disaster planning, cyber resilience and monitoring system dependencies can help limit the damage.  Continue Reading

• Hadoop vs. Spark for modern data pipelines

  Hadoop and Spark differ in architecture, performance, scalability, cost and deployment. They offer distinct strengths for modern cloud-native data pipelines.  Continue Reading

• What makes an effective data science team structure?

  Data science team structures vary in strength, and their success depends on how roles and leadership align with business goals to meet analytics needs.  Continue Reading

• Risk assessment matrix: Free template and usage guide

  A risk assessment matrix identifies issues with the greatest potential for business disruption or damage. Use our free template to prioritize risk management plans.  Continue Reading

• Data lake vs. data warehouse: Key differences explained

  Data lakes and data warehouses differ in structure, processing and use cases, offering distinct advantages for enterprise analytics and data strategies.  Continue Reading

• Data warehouse vs. data mart: Key differences and use cases

  Data warehouses support integrated, governed reporting, while data marts offer faster, focused insights. Together they provide scalable, adaptable data strategies.  Continue Reading

• Agents, semantic layers among top data, analytics trends

  The top 10 predictions for the next few years are all influenced by the increasing deployment of AI to help make business decisions and take action.  Continue Reading

• Whoop pushing AI limits powered by Snowflake

  The wearable health and fitness technology vendor has already put advanced applications into production for its workers, with plans to dramatically expand over the next year.  Continue Reading

• Customers pleased with Snowflake plans for AI

  Features including a multimodal data ingestion and integration service that enables access to unstructured data demonstrate the vendor's move toward enabling app development.  Continue Reading

• Telecom giant uses Tableau Pulse to drive analytics adoption

  As part of an effort to enable its employees to make data-informed decisions, Virgin Media O2 is using the GenAI-powered insight generator to show workers what's possible.  Continue Reading

• The 2 types of climate risk and how DR teams can prepare

  Understanding the two types of climate risk and how to plan for them can help organizations better prepare for disasters and improve their impact on the environment.  Continue Reading

• IT risk assessment template (with free download)

  Risk assessments are a critical part of a disaster recovery plan. Find out how to prepare a risk assessment, then download our included free template to create one.  Continue Reading

• Data preparation in machine learning: 4 key steps

  Data preparation for ML is key to accurate model results. Clean and structure raw data to boost accuracy, improve efficiency, and reduce overfitting for more reliable predictions.  Continue Reading

• How to assess pandemic risk in 2025

  Businesses learned a lot about disaster recovery and risk from COVID-19. The challenge today is to not forget those lessons or become negligent with future pandemics.  Continue Reading

• 7 data storytelling examples: How to turn data into stories

  Various techniques can be used to tell data stories. Here are seven examples of data storytelling approaches implemented by practitioners to create effective stories.  Continue Reading

• How to assess and manage geopolitical risk

  Geopolitical risks are often linked to international political, social and economic activities. Set policies for global business to better identify risks before they happen.  Continue Reading

• Domo platform a difference-maker for check guarantee vendor

  Ingo Money succeeded with the analytics specialist's suite after years of struggling to gain insights from spreadsheets and a failed attempt to modernize with another BI vendor.  Continue Reading

• Agentic AI, data as a product among growing analytics trends

  Collibra's founder and chief data citizen reveals his predictions for 2025, and underpinning all is the need for strong governance that guarantees the quality of BI and AI tools.  Continue Reading

• 16 top data governance tools to know about in 2025

  Data governance software can help organizations manage governance programs. Here's a look at the key features and capabilities of 16 prominent governance tools.  Continue Reading

• Improve data visualizations, become a better storyteller

  Visualizations that make sense and are important to your audience's goals help you tell better stories with data. Color, layout and the type of data you display play a role.  Continue Reading

• 6 trends that shaped data management, analytics in 2024

  The transformation of data platforms into AI development platforms and the rise of agentic AI were the top developments in data management and business intelligence.  Continue Reading

• Surging AI development will heighten focus on data in 2025

  Without proper training, models and applications will fail. As a result, enterprises will pay increased attention to the information used to train artificial intelligence tools.  Continue Reading

• Acquisitions defined enterprise backup market in 2024

  From massive acquisitions to an IPO, major enterprise backup vendors spent much of 2024 consolidating the market.  Continue Reading

• 20 top business intelligence tools to know about in 2025

  To help you find the right BI software for your analytics needs, here's a look at 20 top tools and the key features that differentiate them from other technologies.  Continue Reading

• Disaster recovery glossary: 27 terms to know

  Creating a disaster recovery plan is challenging, but critical for long-term business success. DR teams and IT can benefit from understanding these 27 terms.  Continue Reading

• Free network disaster recovery plan template and guide

  Proper network disaster recovery planning can mean the difference between a brief disruption and extensive downtime. Download our free template to get started building a plan.  Continue Reading

• 6 data preparation best practices for analytics applications

  Analytics applications need clean data to produce actionable insights. Six data preparation best practices can turn your messy data into high-quality fuel for analytics operations.  Continue Reading

• What is a business intelligence analyst and what do they do?

  Business intelligence analysts are key members of BI teams. Here's a look at the job, the skills it requires, salary levels and how the role of a BI analyst is evolving.  Continue Reading

• Business intelligence reporting: What it is, how it works

  BI reporting presents data in various formats so employees can interpret and act on that information in a timely manner without relying on a data analyst. But challenges exist.  Continue Reading

• 7 examples of augmented analytics in the enterprise

  Augmented analytics uses machine learning, AI and natural language processing to help business users interpret complex data sets. Explore use cases across industries.  Continue Reading

• Noninvasive data governance offers friendly approach

  Data governance doesn't need to be a burden on employees. A noninvasive approach formalizes existing responsibilities as components of a governance program.  Continue Reading

• How to measure data literacy in the AI era

  Improving data literacy as an individual or organization starts with measuring where you are. An AI and data framework provides six criteria to track progress.  Continue Reading

• Why data-driven operations must measure data culture

  Many organizations know what data culture is, but measuring culture levels and identifying necessary improvements is another challenge.  Continue Reading

• Data-driven decision-making case study: Indeed

  Putting data-driven decision-making into practice can be difficult. Indeed shares three examples of how it uses data to improve the user experience and employee workflows.  Continue Reading

• Databricks lakehouse a secret weapon for WNBA's Fever

  The vendor's platform has helped Pacers Sports & Entertainment -- parent company of the NBA's Pacers and WNBA's Fever -- free data from isolation to fuel an analytics-driven future.  Continue Reading

• Snowflake the engine for fintech firm's AI transformation

  Specialist TS Imagine is using the data platform vendor's Cortex capabilities to extract value from unstructured data and become more efficient by automating processes.  Continue Reading

• Exploding interest in GenAI makes AI governance a necessity

  With more employees of organizations now using artificial intelligence tools to inform business decisions, guidelines that ensure their safe and secure use are critical.  Continue Reading

• GenAI demands greater emphasis on data quality

  As GenAI explodes and enables enterprise decision-making at previously unseen speed and scale, accurate information to train models and applications becomes increasingly important.  Continue Reading

• 6 business continuity plan software providers to know

  Business continuity planning software can help organizations create a plan that automates time-consuming processes and accounts for critical aspects such as regulatory compliance.  Continue Reading

• 8 communications basics the CrowdStrike outage highlights

  Communications are critical during an emergency. This is especially true for highly unpredictable disruptions, such as the recent CrowdStrike outage.  Continue Reading

• IoT data management extends best practices to the edge

  IoT devices generate and collect data from points all over the network. Organizations must apply general data management best practices to get the most value from IoT data.  Continue Reading

• The top augmented analytics tools vendors are offering

  Augmented analytics tools play a crucial role in providing users of all technical skills levels access to AI and analytics daily. Consider 10 of the top options available.  Continue Reading

• Avoid the high costs of downtime for small businesses

  Small businesses often lack technical support and resources, but they face many of the same risks as larger companies. Strong BCDR efforts can mitigate the risks of downtime.  Continue Reading

• Graph database vs. relational database: Key differences

  Graph databases offer plenty of advantages for enterprises, but relational databases still top the market. Both emphasize relationships between data, but how do they compare?  Continue Reading

• Qlik analytics suite helps cities combat climate change

  The longtime BI and data integration vendor's tools enable C40 Cities, a climate leadership consortium of nearly 100 cities, to operationalize critical environmental data.  Continue Reading

• Qlik meets user needs with realistic approach to generative AI

  With trusted data as a foundation, the longtime analytics and data integration vendor has been pragmatic in its creation of an environment that enables generative AI development.  Continue Reading

• Agent vs. agentless backup: Which is the best option?

  In the debate between agent-based and agentless backups, agentless tends to win out. However, factors such as environment and hypervisor capabilities can impact that decision.  Continue Reading

• What is a data protection officer (DPO) and what do they do?

  Today's DPO must juggle technical, legal and collaborative skills in the shadow of more sophisticated data breaches, tougher data privacy laws and generative AI deployments.  Continue Reading

• 7 principles of the GDPR explained

  The GDPR's seven data protection principles on the lawful processing of data are directly influencing the way businesses collect, store, erase and monetize personal information.  Continue Reading

• Customer segmentation analytics evolve with GenAI, ML

  GenAI, machine learning and advanced analytics techniques automate time-consuming aspects of customer segmentation, freeing up analysts to find insights and create value.  Continue Reading

• AI and GDPR: How is AI being regulated?

  Amid data privacy issues spawned by proliferating AI and generative AI applications, GDPR provisions need some updating to provide businesses with more specific AI guidelines.  Continue Reading

• 6 business benefits of data protection and GDPR compliance

  Complying with GDPR and avoiding severe fines is a primary goal of businesses, but the data governing principles and security tools to achieve compliance yield systemic benefits.  Continue Reading

• 11 core elements of a successful data protection strategy

  Your organization's data protection strategy might not include all 11 core elements and associated activities, but the important thing is to have a comprehensive strategy in place.  Continue Reading

• 6 data privacy challenges and how to fix them

  Fragmented data protection laws, technology disruptions, AI adoption, data governance and consumer trust are among the complex issues confronting businesses in need of remedies.  Continue Reading

• Should you run your database on premises or in the cloud?

  Use of cloud databases is surging, but there are still reasons for on-premises ones. Here's a comparison of cloud and local database architectures to help you choose.  Continue Reading

• Free business continuity testing template for IT pros

  Business continuity testing can be a major challenge for any organization. This free template offers ways to incorporate testing into the business continuity management process.  Continue Reading

• Effective integration key to creating trusted data

  Pipelines and platforms capable of managing volume and combining information from disparate sources in real time are key to the agile decision-making needs of modern organizations.  Continue Reading

• Treating data as a product a method to grow analytics use

  Treating BI assets such as models and dashboards as commodities is an emerging trend as organizations continue to seek new ways of making analytics use more widespread.  Continue Reading

• Rise of generative AI heightens need for data quality

  Good information has always been key to fuel good decisions, but with LLMs prone to hallucinations, it's critical that the models be trained with intelligence that can be trusted.  Continue Reading

• Databricks lakehouse a key tool for champion Texas Rangers

  The Rangers relied on the data management vendor's tools to develop metrics that led to key personnel and strategic decisions that helped Texas win its first World Series.  Continue Reading

• Companies still grappling with building modern data platforms

  Data platforms are crucial for managing and delivering data efficiently, but a recent survey from Enterprise Strategy Group showed that companies still struggle to implement them.  Continue Reading

• Vector search now a critical component of GenAI development

  The feature's ability to make unstructured data discoverable as well as locate similar data points among potentially billions make it ideal for helping train generative AI models.  Continue Reading

• Infusion of generative AI into analytics a work in progress

  Many vendors have introduced tools that integrate LLM technology with their platforms, but most are still refining the tools to ensure their accuracy and security.  Continue Reading

• Why noninvasive data governance is the best approach to use

  Organizations typically approach data governance with top-down or traditional approaches. Consultant Robert Seiner discusses what makes his noninvasive approach the best option.  Continue Reading

• American Airlines lowers data management costs with Intel

  As the airline giant moves more of its data workloads to the cloud, tools from Intel's Granulate are making platforms such as Microsoft's Azure Data Lake more efficient.  Continue Reading

• Do traditional data stacks have a use versus modern options?

  Traditional data stacks differ from modern data stacks in the use of cloud and advanced analytics tools. Update on-premises data stacks to gain niche advantages over cloud options.  Continue Reading

• Cloud backup and disaster recovery evolve toward maturity

  Christophe Bertrand, of TechTarget's Enterprise Strategy Group, discusses survey results on data protection initiatives in the cloud and challenges for organizations.  Continue Reading

• Advanced analytics challenges limit analytics, AI benefits

  Traditional advanced analytics are not going to disappear with the rise of generative AI. Cultural and quality challenges hinder organizations as attention shifts to new trends.  Continue Reading

• Cloud data warehouse book challenges data assumptions

  Dr. Barry Devlin's book lays out the principles of cloud data warehousing and challenges data managers to evaluate what they need when choosing a data warehouse approach.  Continue Reading

• Evaluate cloud data warehouses based on data, outcomes

  Organizations must focus on data and desired outcomes -- and question their assumptions -- when evaluating cloud data warehouse needs, according to industry expert Dr. Barry Devlin.  Continue Reading

• 5 benefits cloud BI has over on-premises options

  BI moving from on premises to the cloud taps into operational improvements and benefits. Optimizing these tools creates a more customized, user-friendly experience.  Continue Reading

• Clear the confusion of advanced vs. predictive analytics

  Advanced and predictive analytics are sometimes used as interchangeable terms. Users need to understand the differences of advanced analytics techniques to maximize insights.  Continue Reading

• Business efficiency a place to start with generative AI

  Increased efficiency is one of the main benefits of large language models, so one of the easiest ways for enterprises to start using LLM technology is by targeting inefficiencies.  Continue Reading

• Generative AI hype evolving into reality in data, analytics

  Organizations are already beginning to apply the technology to their data operations, helping expand analytics use to more employees and boosting the efficiency of data experts.  Continue Reading

• Use knowledge graphs with databases to uncover new insights

  Knowledge graphs work with graph databases to offer different data storage options than a traditional database, particularly in the biomedical, financial and product sectors.  Continue Reading

• Data mesh helping fuel Sloan Kettering's cancer research

  The cancer hospital and research center began using tools from data management vendor Dremio two years ago to decentralize its data operations and improve speed-to-insight.  Continue Reading

• Data stack benefits evolve with modernization

  Modernizing data operations changes the way organizations use data stacks. Industry experts share definitions for the new form of data stacks, what it includes and its benefits.  Continue Reading

• Peloton rides, runs, rows with AWS for data management

  The connected fitness company has long used AWS tools. When its data volume surged during COVID-19, Redshift was critical -- and still is as the company attempts a fiscal comeback.  Continue Reading

• Data mesh vs. other data management options

  Data mesh takes a decentralized approach to data management and deriving value from data. It shares similarities with data warehouses, lakes and fabrics, but differs in philosophy.  Continue Reading

• Essential skills for data-centric developers

  To become more data-driven, organizations need data-centric developers. Developers can learn a mix of technical and interpersonal skills to be an attractive candidate for the job.  Continue Reading

• Data steward responsibilities fill data quality role

  Data stewards tie together data operations. From quality to governance to boosting collaboration, data stewards are valuable members of any data effort.  Continue Reading

• New SaaS hacks highlight need for backup data protection

  Enterprise IT and vendors alike need to prioritize strong backup data protection policies and procedures in the wake of numerous high-profile SaaS hacks and ransomware shakedowns.  Continue Reading

• Construct an event-driven architecture for real-time operations

  Event-driven architecture is one tool to tap into the potential of real-time analytics. Organizations should understand the structure and challenges of EDA to get started.  Continue Reading

• 10 tools to level up streaming analytics platforms

  Streaming analytics platforms take real-time data and generate insight and value for organizations. Choosing the right tool from these options will help unlock benefits.  Continue Reading

• Data pipelines deliver the fuel for data science, analytics

  While analytics and data science lead to informed decision-making, the systems that ingest data from its source and prepare it for consumption are what make analysis possible.  Continue Reading

• Real-time analytics presents challenges to unlock benefits

  Real-time analytics enables organizations with faster decision-making. However, bad data, or a culture that isn't ready for real-time analytics, can undermine the benefits.  Continue Reading

• Book excerpt: Data mesh increases data access and value

  Zhamak Dehghani, a pioneer in data mesh technology, discusses how the concept decentralizes data to improve data-related decision-making and value in her book.  Continue Reading

• SaaS backup vendors diversify approach as adoption grows

  Backup vendors are expanding coverage and introducing new methods to back up SaaS data as IT departments contend with ever-growing adoption and user demands.  Continue Reading

• Wellthy finds analytics success with ThoughtSpot

  The self-service analytics specialist's platform has greatly increased the healthcare organization's efficiency after its old BI platform was too geared toward trained experts.  Continue Reading

• Data management trends: Convergence and more money

  The past year focused heavily on data intelligence, lakehouse development and observability as vendors innovated to help enterprises make effective use of converged data and technologies.  Continue Reading

• Qlik unveils roadmap for analytics, data integration tools

  The vendor plans to increase its connectivity to SaaS applications so users can integrate data from more sources and to add new APIs for embedded BI and automation.  Continue Reading

• Developing an emergency communications plan: A template for business continuity professionals

  Communicating details in a crisis is a vital part of BC and resilience planning. Follow the steps below and the associated template to prepare an emergency communication plan.  Continue Reading

• Overrated and underrated trends in analytics

  Strong data governance frameworks are seemingly always underrated, while new data architectures such as data mesh and the promise of automated machine learning might be overrated.  Continue Reading

• Data-centric developer responsibilities evolve in 2022

  Enterprise Strategy Group Analyst Stephen Catanzano discusses how data-centric developer responsibilities are evolving as technological advancements enable more data use.  Continue Reading

• Experts predict NLP to be biggest BI trend this year

  Given the advancements in chatbot technologies like the recent launch of ChatGPT, industry watchers expect analytics vendors to prioritize natural language query and analysis.  Continue Reading

• Data forecast for 2023: Time to extract more value

  Expect more organizations to optimize data usage to drive decision intelligence and operations in 2023, as the new year will be one of economic challenges for many.  Continue Reading

• Data governance, AI among the past year's analytics trends

  Organizations recognized data governance as an enabler of self-service BI and a way to keep data safe as well as that AI is best used to augment humans rather than replace them.  Continue Reading

• Disney improves data integration efficiency with AWS Glue

  During the pandemic, Disney revamped its data integration process after the media and entertainment giant's existing data integration tools proved unable to meet its new needs.  Continue Reading