DataKitchen

NOVEMBER 4, 2021

DataOps concerns itself with the complex flow of data across teams, data centers and organizational boundaries. It expands beyond tools and data architecture and views the data organization from the perspective of its processes and workflows. One data engineer called it the “last mile problem.” .

Data Processing 246

Data Processing Data Lake Cost-Benefit Testing 246

IBM Big Data Hub

AUGUST 11, 2023

If you are experiencing inefficiencies, bottlenecks, quality control challenges or compliance issues in your production processes, an MES can provide real-time data and performance analysis across production lines to identify and address these issues promptly.

Software 71

Software Manufacturing Cost-Benefit ROI 71

FineReport

APRIL 9, 2024

Optimized Operational Efficiency: These tools streamline processes and resource allocation, leading to cost savings and improved resource utilization. In addition to security concerns, achieving seamless healthcare data integration and interoperability presents its own set of challenges.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

IBM Big Data Hub

MAY 9, 2023

Unlike traditional ML, where each new use case requires a new model to be designed and built using specific data, foundation models are trained on large amounts of unlabeled data, which can then be adapted to new scenarios and business applications. This results in both increased ROI and much faster time to market. Watsonx.ai

Data Warehouse 107

Data Warehouse Machine Learning Cost-Benefit Metadata 107

DataKitchen

FEBRUARY 21, 2023

Gartner suggests in the article that successful Data Engineering teams have two crucial challenges. How to optimize Data Team Productivity – essentially that teams should avoid adding more bodies whenever they have more work that needs to be done. His company just decided that it needs to get its act together with data.

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. The fill report is here: Leadership Vision for 2021: Data and Analytics. On January 4th I had the pleasure of hosting a webinar. It really does.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

IBM Big Data Hub

OCTOBER 20, 2023

This unified experience optimizes the process of developing and deploying ML models by streamlining workflows for increased efficiency. Decision optimization: Streamline the selection and deployment of optimization models and enable the creation of dashboards to share results, enhance collaboration and recommend optimal action plans.

Machine Learning 75

Machine Learning Manufacturing Cost-Benefit Deep Learning 75

Smart Data Collective

OCTOBER 25, 2023

More companies are turning to data analytics technology to improve efficiency, meet new milestones and gain a competitive edge in an increasingly globalized economy. One of the many ways that data analytics is shaping the business world has been with advances in business intelligence. Sounds pretty simple, right?

Key Performance Indicator 94

Key Performance Indicator Business Intelligence Data-driven Metrics 94

datapine

SEPTEMBER 11, 2019

Digital data, by its very nature, paints a clear, concise, and panoramic picture of a number of vital areas of business performance, offering a window of insight that often leads to creating an enhanced business intelligence strategy and, ultimately, an ongoing commercial success. 1) Improving The Decision-Making Process.

Business Intelligence 161

Business Intelligence Analytics Sales Dashboards 161

Cloudera

JUNE 18, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 92

Data Lake Data Warehouse Machine Learning Cost-Benefit 92

CIO Business Intelligence

JUNE 23, 2022

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission critical large scale data analytics, business intelligence (BI), and machine learning use cases, including enterprise data warehouses. On data warehouses and data lakes.

Data Lake 90

Data Lake Data Warehouse Machine Learning Cost-Benefit 90

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Sisense

DECEMBER 11, 2019

With data growing at a staggering rate, managing and structuring it is vital to your survival. In this piece, we detail the Israeli debut of Periscope Data. Driving startup growth with the power of data. Driving startup growth with the power of data. It’s the aspiration of every startup.

Data Lake 80

Data Lake Big Data Sales Data-driven 80

AWS Big Data

FEBRUARY 22, 2023

The data lake implemented by Ruparupa uses Amazon S3 as the storage platform, AWS Database Migration Service (AWS DMS) as the ingestion tool, AWS Glue as the ETL (extract, transform, and load) tool, and QuickSight for analytic dashboards. Data had to be manually processed by data analysts, and data mining took a long time.

Data Lake 52

Data Lake Dashboards Cost-Benefit Metadata 52

Smart Data Collective

APRIL 15, 2020

Last summer, Big Data Analytics News discussed the benefits of using big data in web design. Many of the benefits of big data are outstanding. However, some people have been misled into believing that big data enables them to create high quality websites without any experience. This is simply not the case.

Big Data 95

Big Data Machine Learning Cost-Benefit Advertising 95

Smart Data Collective

FEBRUARY 25, 2021

New machine learning and data analytics tools have made it easier to understand their buying decisions and optimize your funnels, both through your offline and online marketing channels. You can use AI technology to carefully optimize your software applications and ensure they seamlessly match the needs of your business.

Software 62

Software Machine Learning Marketing Technology 62

Sisense

JANUARY 13, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. The world of data in modern manufacturing. Manufacturing companies that adopted computerization years ago are already taking the next step as they transform into smart data-driven organizations.

Manufacturing 52

Manufacturing Data Lake Big Data Data Warehouse 52

AWS Big Data

MARCH 25, 2024

Streaming data facilitates the constant flow of diverse and up-to-date information, enhancing the models’ ability to adapt and generate more accurate, contextually relevant outputs. This data usually comes from third parties, and developers need to find a way to ingest this data and process the data changes as they happen.

Data Lake 92

Data Lake Unstructured Data Management Modeling 92

AWS Big Data

SEPTEMBER 29, 2023

By analyzing XML files, organizations can easily integrate data from different sources and ensure consistency across their systems, However, XML files contain semi-structured, highly nested data, making it difficult to access and analyze information, especially if the file is large and has complex, highly nested schema. Choose Next.

Metadata 65

Metadata Visualization Data-driven Optimization 65

Jet Global

NOVEMBER 10, 2022

Your business needs actionable insights from your Oracle ERP data to respond to volatile market conditions and outpace your competition. This requires access to real-time, accurate, functional views of transactional data enabling rapid decision making. Built-in integration optimized for Oracle.

Operational Reporting 52

Operational Reporting Reporting Finance Software 52

Grooper

AUGUST 19, 2019

Fear of disruption and growing digital transformation initiatives have created a demand for business-driven analytics. Traditional data sources like end of month statements and quarterly reports are no longer enough. They're the insights needed for better decision making, and they start with the business, not with the data.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54