Monte Carlo

MARCH 14, 2023

As part of my job, I’m fortunate enough to speak with data leaders far and wide about how they are tackling some of our industry’s biggest challenges, from implementing data mesh to scaling self-service analytics. What about both? Here’s their story. Image courtesy of BlaBlaCar.

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Transportation Government Google Cloud Architecture 40

Teradata

AUGUST 25, 2019

What is the value of self-service analytics in your organization? What personas provide the most value & where should a business focus its resources? Read more.

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IT 49

Teradata

APRIL 2, 2019

This blog discusses the functions one should consider when choosing a self-service analytics platform.

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Teradata

SEPTEMBER 17, 2019

Learn how to better classify data & analytics within the analytic ecosystem by analyzing the various states of data & analytics within organizations. Read more.

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Data Analytics Data 45

Cloudera

MAY 10, 2024

Iceberg, a high-performance open-source format for huge analytic tables, delivers the reliability and simplicity of SQL tables to big data while allowing for multiple engines like Spark, Flink, Trino, Presto, Hive, and Impala to work with the same tables, all at the same time.

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Government Data Governance Data Pipeline Big Data 99

Christophe Blefari

FEBRUARY 16, 2024

Back Market’s journey towards data self-service — How to be a data self-service company and what initiatives they tried toward this journey. How to leverage Metabase for efficient self-service analytics? Let's elevate the role of analytics. This article discuss it.

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Food Data SQL Government 130

ThoughtSpot

MARCH 5, 2024

Managing complex data pipelines is a major challenge for data-driven organizations looking to accelerate analytics initiatives. While AI-powered, self-service BI platforms like ThoughtSpot can fully operationalize insights at scale by delivering visual data exploration and discovery, it still requires robust underlying data management.

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Teradata

AUGUST 4, 2019

Self-service analytics are increasingly being implemented by organizations that want to promote a data-driven culture. But how sustainable is it? Read more.

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The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

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The Modern Data Company

FEBRUARY 8, 2023

When discussing self-service tools for data and analytics, people usually place their focus on the goal of enabling non-experts to do more things for themselves. While enabling citizen data scientists, citizen data engineers, and others to do more with data and analytics is a noble goal, there is another perspective to consider.

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Christophe Blefari

MAY 18, 2023

At scale everything breaks without data quality, the modern data stack is good because self-service and easy to implement but lacks of everything to be mature in the future: ownership, data quality, context. Still today 90% of the value a data team delivers is in the analytics. The analytics goal is to model correctly business.

Data 130

Data BI Consulting Data Science 130

The Modern Data Company

JANUARY 22, 2024

The Modern Story: Navigating Complexity and Rethinking Data in The Business Landscape Enterprises face a data landscape marked by the proliferation of IoT-generated data, an influx of unstructured data, and a pervasive need for comprehensive data analytics.

Data Integration 87

Data Integration Metadata Government Unstructured Data 87

Knowledge Hut

APRIL 23, 2024

Today, future BI uses data to drive automation, predictive analytics, and artificial intelligence. Cloud-based BI refers to using cloud computing to deliver BI services and tools. Self-Service BI Another trend in BI is self-service BI. Business intelligence was earlier restricted to basic data analysis.

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Business Intelligence BI Data Analysis Media 52

Data Engineering Weekly

MAY 5, 2024

link] LinkedIn: LakeChime - A Data Trigger Service for Modern Data Lakes LinkedIn points out two critical flaws in a partitioned approach to data management. LinkedIn writes about LakeChime, a data trigger service that acts as a signal processor for downstream jobs to handle partition and snapshot table layouts.

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Data Engineering Data Engineer Engineering Google Cloud 67

Knowledge Hut

JANUARY 31, 2024

As we strive to keep up with the speed of digital change, companies are increasingly reliant on IT as a critical tool, with end users counting on IT staff for services that are critical to their jobs. This article will discuss various aspects of the ITIL service catalog and the ITIL service catalog example.

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Christophe Blefari

FEBRUARY 3, 2024

Obviously when it comes to self-service we need a layer that does a text-to-sql conversion. At the same time the Modern Data Network released the annual benchmark of data professionals An Analytics Engineer role enters the chat — this is explained because the MDN is full of startup and roles evolves faster than elsewhere.

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Snowflake

FEBRUARY 20, 2024

By embracing sustainable practices, telecoms can not only contribute to a greener future but also reap several benefits, including: Revenue growth: Climate change is expected to drive increased demand for telecom services as companies across industries seek to reduce their carbon footprint through remote work, digitization and cloud-based solutions.

Telecommunication 84

Telecommunication Cloud Computing Architecture Algorithm 84

ThoughtSpot

JUNE 23, 2023

During Beyond 2023, we officially launched ThoughtSpot Sage , our new search experience that combines the power of GPT’s natural language processing and generative AI capabilities with the accuracy and security of our patented self-service analytics platform.

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Cloud Programming Language Government Data Security 79

ThoughtSpot

APRIL 17, 2024

And this is especially true in the realm of data and analytics. The enhanced ThoughtSpot Embedded Developer SDK, along with new resources and pricing for both developers and product teams, empowers you to seamlessly integrate AI-powered analytics into your web applications and portals. This sentiment is also reflected in the data.

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Insurance Business Intelligence Certification Coding 72

Snowflake

DECEMBER 20, 2023

That’s a big reason why nearly half of ServiceNow’s employees—over 11,000 monthly active users—depend on analytics powered by its enterprise data platform (EDP). Overcoming technical debt and scalability challenges ServiceNow’s central data analytics team exists to make the company data-driven. We did this in parallel.”

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IT Data Government Cloud 67

Data Engineering Podcast

JULY 9, 2023

Summary For business analytics the way that you model the data in your warehouse has a lasting impact on what types of questions can be answered quickly and easily. The major strategies in use today were created decades ago when the software and hardware for warehouse databases were far more constrained.

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ThoughtSpot

SEPTEMBER 14, 2023

Given the ever-evolving landscape of modern data analytics products, organizations are looking to ThoughtSpot and Mode when seeking innovative solutions—helping them harness the power of their marketing data. Together, the products bring unparalleled sophistication and simplicity, giving everyone the ability to generate data-driven insights.

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Business Intelligence Business Analyst BI Data Analytics 93

Monte Carlo

MARCH 28, 2024

Vimeo employs more than 35 data engineers across data platform, video analytics, enterprise analytics, BI, and DataOps teams. In 2021, Vimeo moved from a process involving big complicated ETL pipelines and data warehouse transformations to one focused on data consumer defined schemas and managed self-service analytics.

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Pipeline-centric Engineering BI Google Cloud 75

ThoughtSpot

SEPTEMBER 13, 2023

Because business users can trust that their data is built on a single source of truth, the semantic layer also empowers self-service analytics. Self service: Ensure there is a single, trusted definition of your data models across the business.

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BI Google Cloud Data Governance Business Intelligence 80

Monte Carlo

JANUARY 20, 2024

From artificial intelligence to tools that foster collaboration and self-service , below we’ll be looking at several different developments and approaches that reflect the changing face of data analytics, as well as how they’re already contributing to the ever-changing future of business intelligence.

Business Intelligence 52

Business Intelligence BI Raw Data Datasets 52

Data Engineering Podcast

OCTOBER 30, 2022

In its current incarnation it has become a ubiquitous need for analytics and opportunities to answer questions with data. In this episode Amir Orad discusses the Sisense platform and how it facilitates the embedding of analytics and data insights in every aspect of organizational and end-user experiences.

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Monte Carlo

MAY 3, 2024

Of course, while self-service certainly has its benefits for enterprise teams that can wield it, it’s not without its risks. Alex Tverdohleb, VP of Data Services at Fox Networks, calls this level of self-service “controlled freedom.” We give you the source of the data and guarantee it’s trustworthy.

High Quality Data 52

High Quality Data Data Architecture Media 52

Monte Carlo

MARCH 28, 2023

Analytics and experimentation can go deeper to support bigger decisions. Today, data is often generated by a service and written into a transactional database. An automatic pipeline is deployed which not only moves the raw data to the analytical data warehouse, but modifies it slightly along the way. Speed to insights.

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Data Warehouse Raw Data Data Pipeline Software Engineer 126

Knowledge Hut

DECEMBER 22, 2023

Power BI is a technology-driven business intelligence tool or an array of software services, apps, and connectors to convert unrelated and raw data into visually immersive, coherent, actionable, and interactive insights and information. Microsoft developed it and combines business analytics, data visualization, and best practices.

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BI Business Intelligence Machine Learning SQL 98

Snowflake

FEBRUARY 7, 2023

Event data for tracking a user’s journey has always been important to product analytics—but we’re now seeing changes in how businesses work with and manage their data, including event data. Next-gen product analytics is now warehouse-native, an architectural approach that allows for the separation of code and data.

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BI Building ETL Tools Data Warehouse 81

Snowflake

JANUARY 17, 2024

Yet, many providers have been slower to adapt to a data-driven, hyperconnected world even as their services — including streaming, mobile payments and applications such as video conferencing — have driven innovation in nearly every other industry. According to Kippen, “The faster you can fulfill a service, the faster you collect revenue.”

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Telecommunication Medical Pharmaceutical Entertainment 95