Modern Data Stack
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Modernizing the Data Stack
As data becomes more complex, organizations are on the lookout for swifter, more efficient, and cost-effective methods to handle and scrutinize it. Over the past few years, cloud-based data warehouses have altered data processing with their cutting-edge massively parallel processing abilities and SQL support. This advancement has paved the way for a range of cloud-native data tools that are user-friendly, adaptable, and budget-friendly.
SME's Modern Data Stack includes a collection of tools and technologies built for the cloud, revolutionizing how enterprises tackle data management.
Transform Your Data Management and Analysis with Comprehensive Modern Data Stack Solutions
We provide a comprehensive suite of modern data stack tools and professional services to help organizations transform their data management and analysis capabilities. Our cloud-based tools enable organizations to collect, integrate, warehouse, transform, and consume data more efficiently and accurately than traditional stacks, while our team of experienced professionals provide expert guidance and support to ensure successful implementation and adoption. Whether you're just starting out or looking to upgrade your existing data infrastructure, we have the tools and expertise to help you achieve your data goals.
Modern vs Traditional Data Stacks
The traditional data stack refers to on-premises hardware, relational databases, ETL tools, and BI software. The modern data stack utilizes cloud-based data warehouses, integration and transformation tools, and modern BI and visualization tools. Modern stacks can handle larger volumes of data and integrate data in real-time, providing a more agile and cost-effective solution for data management and analysis.
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From Manual to Automated
The modern data stack automates data collection using cloud-based tools to connect to various sources and pull data into a central location in near real-time. This approach provides a more efficient and accurate way to collect and transform data compared to traditional data stacks, which often involve manual processes and separate tools for data integration and transformation.
Cloud-Based Integration for Real-Time Data Handling
The modern data stack uses cloud-based integration tools to handle large volumes of data from various sources in real-time. It also allows for the integration of cloud-based sources that may not have been accessible in the traditional stack, providing a more flexible and efficient approach to data integration.
Flexible and Cost-Effective
The modern data stack uses cloud-based data warehouses that are more scalable, flexible, and cost-effective than the traditional stack's on-premises hardware. Cloud-based data warehouses also offer advanced analytics capabilities, providing a more efficient way to store, process, and analyze data.
Extract, Load, Transform
The modern data stack's cloud-based data transformation tools utilize the ELT paradigm to push the processing duties to the cloud data warehouse. These transformations can be accomplished via no-code/low-code workflows that provide a more user-friendly interface for faster data transformation or modularized SQL/Python that gives advanced data engineers more control. They also offer built-in data validation and lineage tracking to ensure data quality and traceability. This is in contrast to the traditional data stack, where data transformations are typically done inside legacy ETL tools which require more hardware and therefore cost more.
Democratizing Data Insights
The modern data stack allows for self-service data consumption through user-friendly, cloud-based data visualization and reporting tools that democratize access to data insights. Traditional stacks typically limit data consumption to a select group of data experts who use specialized tools.
Self-Service Discovery of Trusted Data Assets
The modern data stack integrates data governance tools with other components, providing a more comprehensive view of data across the organization. Advanced analytics capabilities detect and prevent data quality issues before they impact business operations, ensuring consistent data access, security, and compliance.
Building long-lasting relationships through happy customers.
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Featured Resources
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ANNOUNCEMENT
SNOWFLAKE SUMMIT 2023: HIGHLIGHTS AND KEY TAKEAWAYSAt Snowflake Summit, attendees embraced the data cloud's transformative power and explored Apache Iceberg and data warehouse advancements.
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WEBINAR
LEAPFROG THE DATA TRUST GAP WITH POWERFUL INSIGHTS AND GOVERNANCEEmpower teams with modern data stack: Snowflake Data Cloud and ThoughtSpot AI-Powered Analytics, governed by data.world’s Data Catalog Platform.
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CUSTOMER STORY
BUILDING USER CONFIDENCE WHILE REDUCING CLOUD COMPUTING COSTSKforce migrated from costly, legacy ETL processes to a modern approach that has widespread positive impacts on the business.
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VIDEO SERIES
MINI-EPISODES TO HELP POWER BI USERS GO FROM KNOW TO PROStarts with the basics of what you need to know about PBI Desktop, an overview, and importing some data within the Power Query Editor.
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EBOOK
MODERN CLOUD DATA WAREHOUSES TO THE RESCUEBig data is becoming more diverse, distributed, and dynamic. This strains your data warehouse and existing BI processes.
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CASE STUDY
DATA-FIRST APPROACH TO INVENTORY ANALYTICSAn inventory system can provide unparalleled insights into customer behavior, product performance, and channel performance.
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CUSTOMER STORY
VIDEO TESTIMONIALSteve Johnston and Xavier Rodriguez from Ideal Agent help SME celebrate 12 years.
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CUSTOMER STORY
DATA ENGINEERING FOR FRAUD ANALYSISCase study on utilizing Azure Data Factory and Snowflake to improve time to insight for potential fraud.
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CUSTOMER STORY
DIGITAL TRANSFORMATION AND AI IMPLEMENTATIONIdeal Agent is partnering with SME to scale the business, reduce overhead expenses and improve customer experience.
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CASE STUDY
CALL CENTER METRICS AND DASHBOARDSProducing actionable results by identifying performance trends, reason for service tickets, and trends in call volume.
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CUSTOMER STORY
ACCELERATING FINANCIAL REPORTINGTransforming raw financial data to insights for Port Tampa Bay by pulling in raw data from Great Plains and iSeaports.
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REPORT
CHECKLIST REPORT, CLOUD DATA WAREHOUSINGIf you’re overwhelmed trying to find a solution for cloud data warehousing, take a look at this TDWI checklist report.
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EBOOK
TOP 6 REASONS BUSINESS INTELLIGENCE FAILSBusiness Intelligence projects can begin with a simple goal, but can easily go astray, and often results in money wasted.
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REPORT
SIMPLIFY DATA ARCHITECTURE FOR FASTER INSIGHTSMaintaining separate systems makes it difficult to be agile and responsive in today’s fast-moving markets.
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VIDEO SERIES
DATA WAREHOUSES, DATA LAKES, AND DATA LAKEHOUSESSimilarities, differences, and what each of these terms mean for the future of Business Intelligence (BI).
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VIDEO SERIES
ACTIVE INTELLIGENCE VIDEO PLAYLISTInterviews, how to's, and use case examples featuring Qlik. We also cover value added extensions like Vizlib and PlatformManager.
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PRESS RELEASE
GOLD DATA ANALYTICS AND POWER BI PARTNERAs a certified Microsoft Gold Partner, specializing in Data Analytics, and a Power BI Partner we help businesses of all sizes and across various industries enable digitization, innovation, and efficiency.
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VIDEO SERIES
SEARCH AND AI-DRIVEN ANALYTICS VIDEO PLAYLISTCheck out our 2 Minute Drill videos and webinars on ThoughtSpot for insightful use cases and valuable information.
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WHITE PAPER
DATA LAKEHOUSE, WAREHOUSE, & AZURE ARCHITECTURESBI projects often focus on the Visualization/Reporting aspects but place less emphasis on the layers that power this.
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WHITE PAPER
CRASH COURSE ON CLOUD COMPUTINGWe get it, moving to cloud computing can be scary. But, can you confidently say that you understand cloud computing?
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WHITE PAPER
BUSINESS INTELLIGENCE ROADMAP BUILT FOR SUCCESSInsights into the components of a successful BI Implementation and how to avoid common pitfalls.
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WHITE PAPER
7 EXPERT TIPS FOR SELECTING THE RIGHT STRATEGY AND TOOLSMaking the move to the cloud as part of your overall strategy can help manage costs and increase agility.
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PRESS RELEASE
ARTIFICIAL INTELLIGENCE PARTNERSHIP ANNOUNCEMENTSME and H20.ai announce new strategic partnership. SME will leverage the power of the H2O.ai platform to maximize data science efforts at companies looking to innovate with artificial intelligence.
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ANNOUNCEMENT
WHERE NUMBERS AND STATISTICS ARE CHANGING LIVES!In today's digital era, data fuels innovation and drives social change. It not only helps us understand and predict trends but provides us improve the quality of life with informed decisions.
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ANNOUNCEMENT
INSPIRED CORPORATE GIVING WITH THE SME FOUNDATIONEach team member at SME was encouraged to select a nonprofit to share with the team including their personal connection and the mission. $500 was then gifted to each of those organizations.
Modern Data Stack Tools and Services
Contact us today to learn how our cloud-based tools and expert services can help you achieve faster, more efficient, and cost-effective data management and analysis.
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Say goodbye to manual data processes and hello to automated insights with our modern data stack solutions. Contact us now to get started.