Smart Data Collective

JUNE 19, 2019

As such, you should concentrate your efforts in positioning your organization to mine the data and use it for predictive analytics and proper planning. The Relationship between Big Data and Risk Management.

Big Data 231

Big Data Logistics Monitoring Data Analytics 231

Insight Software

DECEMBER 8, 2022

Report from insightsoftware and Hanover Research reveals the gaps that need to be bridged to reach data fluency, noting challenges in data quality and connection. According to the report, the first hurdle for businesses is a lack of data quality. Many organizations are not there, yet. CCgroup for insightsoftware.

Data Quality 52

Data Quality Supply Chain Predictive Analytics Finance 52

GAVS Technology

JANUARY 13, 2025

Key Components of AI-Powered Executive Dashboards Real-Time Data Integration Consolidates data from multiple sources (ERP, MES, QMS, SAP etc.) Strategic Alignment: Ensures organizational focus on common goals. Competitive Advantage: Faster response to market changes and customer demands.

Supply Chain 52

Supply Chain Cybersecurity Pharmaceutical Predictive Analytics 52

Cprime

APRIL 18, 2024

– Best practices include integrating customer feedback early and often, utilizing analytics tools for deeper insights, ensuring data quality and relevance, balancing quantitative with qualitative data, and fostering cross-functional collaboration. Ensuring Data Quality and Relevance Not all data is created equal.

Predictive Analytics 69

Predictive Analytics User Experience Innovation Data Quality 69

Inflexion Analytics

MAY 22, 2024

This article explores the burgeoning significance of data analytics and reporting within law firms, highlighting their pivotal role in scrutinizing financial metrics, monitoring performance indicators, and leveraging predictive analytics to refine resource planning.

Data Analytics 52

Data Analytics Data Analytics Predictive Analytics Digital Transformation 52

ElegantJ BI

NOVEMBER 3, 2017

These tools should include: Self-Serve Data Preparation – Allows business users to perform Advanced Data Discovery and auto-suggests relationships, reveals the impact and importance of key factors, recommends data type casts, data quality improvements and more!

Data Discovery 130

Data Discovery Visualization Data Visualization Data Quality 130

ElegantJ BI

NOVEMBER 3, 2017

These tools should include: Self-Serve Data Preparation – Allows business users to perform Advanced Data Discovery and auto-suggests relationships, reveals the impact and importance of key factors, recommends data type casts, data quality improvements and more!

Data Discovery 130

Data Discovery Visualization Data Visualization Data Quality 130

ElegantJ BI

NOVEMBER 3, 2017

These tools should include: Self-Serve Data Preparation – Allows business users to perform Advanced Data Discovery and auto-suggests relationships, reveals the impact and importance of key factors, recommends data type casts, data quality improvements and more!

Data Discovery 130

Data Discovery Visualization Data Visualization Data Quality 130

Business Analysis Knowledge Share

OCTOBER 24, 2023

Historical Analysis Business Analysts often need to analyze historical data to identify trends and make informed decisions. Data Warehouses store historical data, enabling analysts to perform trend analysis and make accurate forecasts. Data Quality Data quality is crucial for reliable analysis.

IBM Maintenance 75

IBM Maintenance Data Warehouse IBM cost Data Quality 75

CMW Lab Blog

NOVEMBER 20, 2024

Predictive Analytics Business Impact: Area Traditional Analysis AI Prediction Benefit Forecast Accuracy 70% 92% +22% Risk Assessment Days Minutes 99% faster Cost Prediction ±20% ±5% 75% more accurate Source: McKinsey Global Institute Implementation Strategies 1.

Artificial Intelligence 52

Artificial Intelligence IBM Maintenance IBM cost IBM Support 52

Astera

APRIL 28, 2023

Final Verdict: Intelligent Systems are Changing the Game Intelligent systems are revolutionizing data management by providing new and innovative ways to analyze, process, and interpret vast amounts of data. Serving as a unified data management solution.

Data Management 93

Data Management Artificial Intelligence Predictive Analytics Data Quality 93

Argon Digital

OCTOBER 24, 2023

Advanced technologies like Artificial Intelligence and Machine Learning are taking automation a step further, providing predictive analytics and strategic insights that were previously impossible or very resource-intensive to obtain.

Financial Analysis 52

Financial Analysis Predictive Analytics Finance Artificial Intelligence 52

Insight Software

APRIL 9, 2023

From Data Literacy to Fluency: Strategies for Becoming a Data-Driven Organization Download Now Four Steps to Achieving Data Fluency Another recent insightsoftware study , this time on building data fluency, highlights some key steps that organizations can take to shore up data processes and reduce time spent waiting for IT.

Finance 52

Finance Supply Chain Predictive Analytics Data Quality 52

ElegantJ BI

SEPTEMBER 15, 2017

Be sure to consider the location, condition and accuracy of your data and to select a solution that will connect various data sources (personal, external, cloud, and IT provisioned).

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Be sure to consider the location, condition and accuracy of your data and to select a solution that will connect various data sources (personal, external, cloud, and IT provisioned).

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

Be sure to consider the location, condition and accuracy of your data and to select a solution that will connect various data sources (personal, external, cloud, and IT provisioned). Data Governance and Self-Serve Analytics Go Hand in Hand.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

The BAWorld

NOVEMBER 22, 2021

Completeness is a data quality dimension and measures the existence of required data attributes in the source in data analytics terms, checks that the data includes what is expected and nothing is missing. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Data Pine

JANUARY 21, 2020

Business intelligence and reporting are not just focused on the tracking part, but include forecasting based on predictive analytics and artificial intelligence that can easily help avoid making a costly and time-consuming business decision. Enhanced data quality. Customer analysis and behavioral prediction.

Business Intelligence 103

Business Intelligence Business Intelligence Procurement Visualization 103

Astera

JANUARY 23, 2023

Improved clinical care with predictive healthcare analytics Predictive analytics enable healthcare providers to establish patterns and trends from data that may predict future trends. Ensuring Data Quality Medical errors are the third leading reason for death in the US.

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Astera

MAY 4, 2023

This, in turn, enables businesses to automate the time-consuming task of manual data entry and processing, unlocking data for business intelligence and analytics initiatives. However , a Forbes study revealed up to 84% of data can be unreliable. Luckily, AI- enabled data prep can improve data quality in several ways.

Business Intelligence 40

Business Intelligence Business Intelligence Predictive Analytics Supply Chain 40

Astera

JUNE 13, 2023

Acting as a conduit for data, it enables efficient processing, transformation, and delivery to the desired location. By orchestrating these processes, data pipelines streamline data operations and enhance data quality. Techniques like data profiling, data validation, and metadata management are utilized.

E-Commerce 52

E-Commerce Data Quality Real-time Data Data Warehouse 52

Astera

MAY 30, 2024

Data analytics has several components: Data Aggregation : Collecting data from various sources. Data Mining : Sifting through data to find relevant information. Statistical Analysis : Using statistics to interpret data and identify trends. Veracity: The uncertainty and reliability of data.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Astera

JANUARY 23, 2024

Data vault goes a step further by preserving data in its original, unaltered state, thereby safeguarding the integrity and quality of data. Additionally, it allows users to apply further data quality rules and validations in the information layer, guaranteeing that data is perfectly suited for reporting and analysis.

Agile 52

Agile Data Warehouse Data Quality Government 52

GAVS Technology

JANUARY 13, 2025

Key Components of AI-Powered Executive Dashboards Real-Time Data Integration Consolidates data from multiple sources (ERP, MES, QMS, SAP etc.) Strategic Alignment: Ensures organizational focus on common goals. Competitive Advantage: Faster response to market changes and customer demands.

Supply Chain 52

Supply Chain Cybersecurity Pharmaceutical Healthcare 52

Astera

MAY 23, 2023

Case Study: NBA and Big Data Analytics The NBA is one of the most innovative leagues in the world when it comes to sports data analytics. They utilize predictive analytics to create a winning strategy and team and player performance data to gain an advantage over opponents.

Data Analytics 40

Data Analytics Data Analytics Data Security Predictive Analytics 40

Astera

MAY 6, 2024

RapidMiner RapidMiner is an open-source platform widely recognized in the field of data science. It offers several tools that help in various stages of the data analysis process, including data mining, text mining, and predictive analytics. Data quality is a priority for Astera.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

OCTOBER 19, 2023

Easy-to-Use, Code-Free Environment By eliminating the need for writing complex code, data preparation tools reduce the risk of errors. These tools allow users to manipulate and transform data without the potential pitfalls of manual coding. The tool also lets users visually explore data through data exploration and profiling.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Astera

JANUARY 7, 2024

Predictive Analytics Using a holistic view provides a wealth of data that can be analyzed to predict future customer behavior and trends. Netflix , for example, uses predictive analytics to recommend shows and movies based on a user’s viewing history and preferences. Data Profiling in Astera 3.

E-Commerce 52

E-Commerce Predictive Analytics Customer Experience Customer Experience 52

The BAWorld

MAY 14, 2024

Prescriptive Analytics – This analytics prescribes the data to take corrective measures to make progress or avoid a particular event in future. Predictive Analytics – It uses Machine Learning models to predict future trends, events and outcomes. Write some key skills usually required for a data analyst.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Visualization 52

Dataversity

APRIL 6, 2021

With the huge amount of online data available today, it comes as no surprise that “big data” is still a buzzword. But big data is more […]. The post The Role of Big Data in Business Development appeared first on DATAVERSITY. Click to learn more about author Mehul Rajput.

Big Data 130

Big Data Data Mining Predictive Analytics Artificial Intelligence 130

Astera

OCTOBER 27, 2023

Practical Tips To Tackle Data Quality During Cloud Migration The cloud offers a host of benefits that on-prem systems don’t. Here are some tips to ensure data quality when taking your data warehouse to the cloud. The added layer of governance enhances the overall data quality management efforts of an organization.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

AUGUST 22, 2023

Grid View: The Grid View presents a dynamic and interactive grid that updates in real time, displaying the transformed data after each operation. It offers an instant preview and feedback on data quality, helping you ensure the accuracy and integrity of your data.

Innovation 52

Innovation Documentation Data Analytics Data Analytics 52

Astera

AUGUST 5, 2024

Moreover, business data analytics enables companies to personalize marketing strategies and refine product offerings based on customer preferences, fostering stronger customer relationships and loyalty. There are many types of business analytics. Addressing them is crucial for maximizing the benefits of business analytics.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Astera

DECEMBER 21, 2022

The 2020 Global State of Enterprise Analytics report reveals that 59% of organizations are moving forward with the use of advanced and predictive analytics. For this reason, most organizations today are creating cloud data warehouse s to get a holistic view of their data and extract key insights quicker.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Astera

MAY 31, 2024

Here are the critical components of data science: Data Collection : Accumulating data from diverse sources like databases, APIs , and web scraping. Data Cleaning and Preprocessing : Ensuring data quality by managing missing values, eliminating duplicates, normalizing data, and preparing it for analysis.

Data Analytics 52

Data Analytics Data Analytics Data Warehouse Healthcare 52

Data Pine

FEBRUARY 17, 2023

That said, data and analytics are only valuable if you know how to use them to your advantage. Poor-quality data or the mishandling of data can leave businesses at risk of monumental failure. In fact, poor data quality management currently costs businesses a combined total of $9.7 million per year.

Embedded Analytics 76

Embedded Analytics Business Intelligence Business Intelligence Visualization 76

Domo

JULY 15, 2020

To say we are living in the data economy would be a huge understatement. Most organizations these days understand that the data they’ve been gathering is not only currency, it’s among their most valuable assets, especially if they are willing to wring every last ounce of potential out of it.

Data Analytics 52

Data Analytics Data Analytics Planning Predictive Analytics 52