O'Reilly on Data

MARCH 24, 2020

In a world focused on buzzword-driven models and algorithms, you’d be forgiven for forgetting about the unreasonable importance of data preparation and quality: your models are only as good as the data you feed them. Why is high-quality and accessible data foundational? Re-analyzing existing data is often very bad.”

Machine Learning 346

Machine Learning Statistics Data Quality Modeling 346

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science. Plus, AI can also help find key insights encoded in data.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

Laminar Security

JUNE 22, 2023

Countless organizations have been racing to the cloud to speed up innovation, improve data-driven decisions, and make data available to the entire organization (aka data democratization ). The WalkMe platform operates in the cloud, and its data is accessible to personnel across the company.

IT 52

IT Digital Transformation Data-driven Interactive 52

Data Virtualization

AUGUST 18, 2022

Reading Time: 5 minutes One of the core company and product missions here at Denodo is to enable end-to-end self-service BI by democratizing data management. We believe analytics today is being held back by data management complexity and challenges, and it is through data.

Data Integration 52

Data Integration Management Analytics IT 52

AWS Big Data

APRIL 25, 2023

AWS has been named a Challenger in the 2023 Gartner Magic Quadrant for Analytics and Business Intelligence (ABI) Platforms. Benefits of QuickSight AWS built QuickSight from the ground up as a cloud BI service to overcome challenges customers faced with alternative offerings. And this is just the beginning.

Business Intelligence 52

Business Intelligence Analytics Data-driven Dashboards 52

Smarten

NOVEMBER 9, 2022

When a business decides to tackle data democratization and bring data analytics to its business users, it can often fail to comprehensively plan for success. Achieve data analytics and user adoption goals. Improve data literacy across the enterprise. Achieve continuous improvement in the organization.

Analytics 52

Analytics ROI Cost-Benefit Consulting 52

AWS Big Data

SEPTEMBER 19, 2023

Chime’s Risk Analysis team constantly monitors trends in our data to find patterns that indicate fraudulent transactions. However, our legacy data warehouse-based solution was not equipped for this challenge. Amazon DynamoDB is another data source for our Streaming 2.0 We mainly use it as lookup tables in our pipeline.

Analytics 75

Analytics Risk Big Data Machine Learning 75

bridgei2i

JULY 16, 2021

The digital transformation journeys of enterprises have been fraught with different challenges since the early 2000s. However, the emergence of AI and its synergies with evolving technologies such as cloud computing, IoT, and big data analytics, have brought enterprises to a tipping point in their journeys.

Enterprise 98

Enterprise Digital Transformation IoT Data-driven 98

Smarten

JANUARY 16, 2024

Today’s competitive landscape is challenging and customer buying behavior changes often. You can encourage data democratization and alleviate user frustration with real business user solutions and deep dive capabilities, all from the within the confines of familiar, popular software apps and products.

Software 67

Software Business Intelligence Manufacturing Data Processing 67

Ontotext

OCTOBER 10, 2023

It also featured workshops, covering FAIR Ontologies, Semantic Data Space For Transport, and Natural Language Processing (NLP) for knowledge graph construction. The day opened with a DBpedia Keynote Session by Edward Curry, Professor of Data Science at the University of Galway.

Publishing 64

Publishing Modeling Data Science Technology 64

O'Reilly on Data

AUGUST 24, 2018

Watch keynotes covering Jupyter's role in business, data science, higher education, open source, journalism, and other domains, from JupyterCon in New York 2018. Carol Willing shows how Jupyter's challenges can be addressed by embracing complexity and trusting others. Democratizing data. Watch " Democratizing data.".

Machine Learning 108

Machine Learning Data Science Data-driven Enterprise 108

Dataiku

MAY 28, 2020

Today’s marketing teams have no shortage of business questions they want to solve, yet they run into all kinds of challenges when trying to make AI a reality. One of them is wanting to democratize the use of AI and data but unable to do so due to a lack of knowledge and transparency around how AI-based technology works.

Marketing 66

Marketing Technology 66

O'Reilly on Data

APRIL 2, 2019

A few years ago, we started publishing articles (see “Related resources” at the end of this post) on the challenges facing data teams as they start taking on more machine learning (ML) projects. So, why is this new open source project resonating with data scientists and machine learning engineers? there aren’t enough of them.

Machine Learning 203

Machine Learning Modeling Data Science Software 203

AWS Big Data

FEBRUARY 27, 2024

In the ever-evolving world of finance and lending, the need for real-time, reliable, and centralized data has become paramount. Bluestone , a leading financial institution, embarked on a transformative journey to modernize its data infrastructure and transition to a data-driven organization.

Data-driven 91

Data-driven Data Lake Data Quality Data Governance 91

BI-Survey

AUGUST 22, 2023

Data mesh is a hot buzzword, but what is behind it? It is about a focus on data products and the decentralized creation of and responsibility for data products in the line of business, which are based on a self-service analytics infrastructure and federated data governance with a high degree of automation.

Measurement 52

Measurement Data Governance Data-driven Dashboards 52

Juice Analytics

DECEMBER 16, 2021

Low user adoption for data solutions is the problem that won’t go away. It is the… …sticky-wicket of Cricket …‘Transformers’ of Sci-Fi movies …barnacle of boats …‘Two and a Half Men’ of TV The data and analytics industry has struggled for decades to get more people in organizations to use the data. Invest in data tooling ?Gather

Analytics 136

Analytics Consulting Statistics Visualization 136

AWS Big Data

DECEMBER 21, 2023

This is a guest post co-written by Alex Naumov, Principal Data Architect at smava. smava believes in and takes advantage of data-driven decisions in order to become the market leader. smava believes in and takes advantage of data-driven decisions in order to become the market leader.

Data Lake 85

Data Lake Data Warehouse B2B Data-driven 85

Smarten

APRIL 7, 2022

Include Self-Serve Data Preparation in Your Augmented Analytics Solution ! Gartner predicted that ‘…data preparation will be utilized in more than 70% of new data integration projects for analytics and data science.’ Self-serve data preparation and augmented analytics solutions are now more popular than ever.

Data Quality 76

Data Quality Data Governance Data Integration Data Science 76

Smarten

JUNE 22, 2022

Technology research and consulting firm, Gartner, predicts that, ‘By 2023, data literacy will become an explicit and necessary driver of business value, demonstrated by its formal inclusion in over 80% of data and analytics strategies and change management programs.’. Benefits of Embedded BI.

Slice and Dice 76

Slice and Dice Digital Transformation Business Intelligence Predictive Modeling 76

FineReport

MARCH 31, 2024

In 2024, business intelligence (BI) software has undergone significant advancements, revolutionizing data management and decision-making processes. Harnessing the power of advanced APIs, automation, and AI, these tools simplify data compilation, organization, and visualization, empowering users to extract actionable insights effortlessly.

Dashboards 52

Dashboards Visualization Data mining Data-driven 52

Jet Global

MAY 6, 2024

This untapped potential suggests a significant opportunity for those willing to embrace AI and gain a competitive edge through intelligent automation and data-driven financial insights. However, to truly unlock this potential, complete data preparation and control are essential.

Finance 52

Finance Reporting Data Transformation Optimization 52

Jen Stirrup

MARCH 7, 2024

One issue in cybersecurity, operational IT management and data management is the cost to solve issues, quickly, well, and cheaply. and they would most likely get their data back more quickly if they just paid the hackers. AI can automate routine data management tasks, reduce human error, and free up IT staff for more strategic work.

Machine Learning 76

Machine Learning Digital Transformation Reporting Optimization 76

Sisense

FEBRUARY 6, 2020

In Data Surrounds Us , we take a look at how technology is used to optimize the processes and decisions we make in our professional and personal lives. It won’t come as a shock that working in a data analytics company means data is one of our principal obsessions. We’re more than just believers in the power of data.

Visualization 97

Visualization Internet of Things Data Analytics Analytics 97

Jen Stirrup

NOVEMBER 15, 2022

Why do organizations get stuck with their data? Often, this problem can be due to the organization concentrating solely on technology and data. However, organizations can be supported by a synergistic approach by integrating systems thinking with the data strategy and technical perspective. It is such a fundamental question.

Data Science 145

Data Science Digital Transformation Data-driven Measurement 145

Smarten

SEPTEMBER 13, 2022

Imagining the Impact of Citizen Data Scientists ! This process ‘converges data science, analytic and process automation into a single platform—which helps companies automate and integrate the way data and business processes come together. Companies can also make data more actionable across the organization.’. ‘By

Key Performance Indicator 76

Key Performance Indicator Predictive Analytics Metrics Consulting 76

Smarten

DECEMBER 5, 2022

‘Share this information with your users to help them understand how these various techniques can be used to identify the root cause of problems, to clearly understand challenges and opportunities and to strategize and share data.’. Naïve Bayes. Multiple Linear Regression. Paired Sample T Test. ARIMAX Forecasting. Outlier Analysis.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Testing 52

Sisense

NOVEMBER 23, 2020

Learn how organizations, dev teams, and frontline users are adjusting to meet these challenges of our radically altered world. The global pandemic has driven home the fact that data is vital to the success of every organization. In Navigating Change in Crisis , we explore how individuals and companies are adapting to a “new normal.”

Analytics 98

Analytics Data-driven Marketing Reporting 98

Laminar Security

OCTOBER 17, 2023

Mapping, classifying, and reporting on data in the cloud is challenging for many companies, and the more cloud-centric the company, the greater the challenge. They are dealing with massive amounts of data and are subject to new and changing regulations. What is data discovery and classification?

IT 94

IT Risk Cost-Benefit Dashboards 94

Smarten

JUNE 27, 2023

‘The right augmented analytics tool provides auto-suggestions to select the techniques or algorithms that will best suit the purpose of the analysis and allows users to gather and analyze the data with intuitive navigation, designed to guide the team member through the analytical process.’

Predictive Analytics 52

Predictive Analytics Analytics Forecasting Testing 52

Jet Global

MAY 6, 2024

Unlocking the power of AI within SAP for your team requires overcoming a significant hurdle: data accessibility. SAP data’s complexity, spread across various modules, creates silos of information that your team might struggle to understand and utilize effectively.

Data-driven 52

Data-driven Finance Data Quality Reporting 52

Jet Global

DECEMBER 17, 2020

Tufte powerfully illustrates the impact that data visualization can have on real-world decisions. In the book, he provides a compelling example of how data visualization can lead observers to discover meaning in data that might otherwise appear too cryptic, ultimately saving countless lives as a result.

Visualization 72

Visualization Finance Reporting Sales 72

Ontotext

FEBRUARY 12, 2024

In the final part of this three-part series, we’ll explore ho w data mesh bolsters performance and helps organizations and data teams work more effectively. Usually, organizations will combine different domain topologies, depending on the trade-offs, and choose to focus on specific aspects of data mesh.

Data-driven 59

Data-driven Data Lake Data Quality Business Objectives 59

Jet Global

APRIL 8, 2024

In today’s data-driven business environment, the finance team plays a critical role in transforming raw data into actionable insights that inform strategic decision-making. Furthermore, basing your budgets and forecasts on inaccurate or incongruent data from silos can have a detrimental impact on decision-making.

Reporting 52

Reporting Management Finance Forecasting 52

Smarten

NOVEMBER 18, 2022

From the Google-type ‘ask a question and get an answer’ environment consumers love, to the augmented analytics solution that provides an NLP environment to make it easy for non-technical business users to perform data analytics, using the tried-and-true question/answer approach, without the need for data science or IT skills. ‘It

Analytics 52

Analytics Statistics Data Science Machine Learning 52

Jet Global

FEBRUARY 29, 2024

However, managing budgets in large organizations comes with its own set of challenges, often exacerbated by outdated tools and fragmented processes. This lack of integration and version control further exacerbates the challenges, leading to missed details and outdated information.

Forecasting 52

Forecasting Reporting Data-driven Software 52

Ontotext

AUGUST 4, 2023

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.

Metadata 52

Metadata Data-driven Data Architecture Data Quality 52

AWS Big Data

NOVEMBER 16, 2023

In today’s data-driven world, organizations face unprecedented challenges in managing and extracting valuable insights from their ever-expanding data ecosystems. As the number of data assets and users grow, the traditional approaches to data management and governance are no longer sufficient.

Management 107

Management Data Lake Sales Machine Learning 107