Smart Data Collective

APRIL 29, 2020

The extraction of raw data, transforming to a suitable format for business needs, and loading into a data warehouse. Data transformation. This process helps to transform raw data into clean data that can be analysed and aggregated. Data analytics and visualisation. Reference data management.

Data Management 211

Data Management Data Warehouse Master Data Management Digital Transformation 211

Astera

APRIL 28, 2023

To address these challenges, approximately 44% of companies are planning to invest in artificial intelligence (AI) to streamline their data warehousing processes and improve the accuracy of their insights. AI is a powerful tool that goes beyond traditional data analytics.

E-Commerce 40

E-Commerce Supply Chain Artificial Intelligence Data Warehouse 40

Smart Data Collective

JUNE 19, 2019

Aligning these elements of risk management with the handling of big data requires that you establish real-time monitoring controls. Risk Management Applications for Analyzing Big Data. This tool is necessary for monitoring your third parties. Vendor Risk Management (VRM). Credit Management.

Big Data 177

Big Data Logistics Monitoring Data Analytics 177

Astera

NOVEMBER 1, 2023

This structure prevents data quality issues, enhances decision-making, and enables compliant operations. Transparency: Data governance mandates transparent communication about data usage i n the financial sector. Data Quality: Data governance prioritizes accurate, complete, and consistent data.

Data Governance 40

Data Governance Government Data Quality Banking 40

Astera

FEBRUARY 7, 2024

Speedy data transfer proves crucial when real-time data delivery is needed, particularly for prompt decision-making. Streamlined Data Analytics With zero-ETL, it’s possible to access and analyze data as it flows. and transformations during the staging phase.

Real-time Data 52

Real-time Data Cybersecurity Data Quality Monitoring 52

Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Sisense

OCTOBER 15, 2020

We live in a world of data: There’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways data teams are tackling the challenges of this new world to help their companies and their customers thrive. Getting your streaming data to work for you.

Supply Chain 98

Supply Chain Cloud Computing Data Quality Data Analytics 98

Astera

JANUARY 25, 2024

Operationalizing insights from stored data and making them actionable in day-to-day business operations. Use Cases Data warehousing, business intelligence, reporting, and data analytics. Data enrichment for CRM, targeted marketing campaigns, real-time customer interaction, and personalized experiences.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 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

BizAcuity

APRIL 14, 2022

Big Data technology in today’s world. Did you know that the big data and business analytics market is valued at $198.08 Or that the US economy loses up to $3 trillion per year due to poor data quality? quintillion bytes of data which means an average person generates over 1.5 Poor data quality.

Big Data 130

Big Data Data Analytics Data Analytics Data Management 130

Data Pine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. Now, with Data Dan, you only get to ask him three questions.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Astera

JANUARY 23, 2023

Evaluate medical practitioners’ performance Data-based performance management involves evaluating the performance and attitudes of doctors and healthcare personnel to ensure standards for quality care are met. Ensuring Data Quality Medical errors are the third leading reason for death in the US. to analyze data.

Data Management 52

Data Management IBM Maintenance Healthcare IBM cost 52

Tableau

DECEMBER 7, 2020

At the height of the pandemic when many of its customers began facing cash flow problems, the bank tapped into data sources, built data squads and created key dashboards focused on real-time liquidity monitoring and a law restructuring programme , all within a matter of 48 hours.

Banking 90

Banking Embedded Analytics Agile Healthcare 90

Tableau

DECEMBER 7, 2020

At the height of the pandemic when many of its customers began facing cash flow problems, the bank tapped into data sources, built data squads and created key dashboards focused on real-time liquidity monitoring and a law restructuring programme , all within a matter of 48 hours.

Banking 52

Banking Embedded Analytics Agile Healthcare 52

Marutitech

JANUARY 21, 2022

Data science management has become an essential element for companies that want to gain a competitive advantage. The role of data science management is to put the data analytics process into a strategic context so that companies can harness the power of their data while working on their data science project.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

Actian

JULY 9, 2019

It makes sense in the era of digital-transformation initiatives that integration of IT systems and data sharing across companies have become high-priority strategic initiatives. Integration is great, but it raises a new set of issues about data quality, security and governance companies must now address.

Supply Chain 40

Supply Chain Digital Transformation Government Documentation 40

Astera

MAY 6, 2024

Best For: Businesses that require a wide range of data mining algorithms and techniques and are working directly with data inside Oracle databases. Sisense Sisense is a data analytics platform emphasizing flexibility in handling diverse data architectures. Data quality is a priority for Astera.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Analysts Corner

JUNE 18, 2023

Python, Java, C#) Familiarity with data modeling and data warehousing concepts Understanding of data quality and data governance principles Experience with big data platforms and technologies (e.g., Oracle, SQL Server, MySQL) Experience with ETL tools and technologies (e.g.,

Data Warehouse 130

Data Warehouse Data Quality Documentation Data Governance 130

Astera

MAY 14, 2024

Let’s look at some of the metadata types below: Operational metadata: details how and when data occurs and transforms. This metadata type helps to manage, monitor, and optimize system architecture performance. Examples include time stamps, execution logs, data lineage, and dependency mapping. Image by Astera.

Government 52

Government Data Governance Master Data Management Documentation 52

Astera

MARCH 11, 2024

Transformation Capabilities: Some tools offer powerful transformation capabilities, including visual data mapping and transformation logic, which can be more intuitive than coding SQL transformations manually. Transform and shape your data according to your business needs using pre-built transformations and functions without writing any code.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Tableau

APRIL 18, 2022

Tableau helps strike the necessary balance to access, improve data quality, and prepare and model data for analytics use cases, while writing-back data to data management sources. Analytics data catalog. Data quality and lineage. Augmented analytics. Metadata management.

Data Quality 99

Data Quality Government Artificial Intelligence Data Warehouse 99

Tableau

APRIL 18, 2022

Tableau helps strike the necessary balance to access, improve data quality, and prepare and model data for analytics use cases, while writing-back data to data management sources. Analytics data catalog. Data quality and lineage. Augmented analytics. Metadata management.

Data Quality 97

Data Quality Government Artificial Intelligence Data Warehouse 97

Astera

APRIL 24, 2024

Real-Time Data Streaming Tools : These tools ingest data continuously as it appears, making it available for immediate analysis. They are ideal for scenarios where timely data is critical, like financial trading or online services monitoring.

Data Warehouse 52

Data Warehouse Real-time Data Documentation Data Quality 52

Astera

APRIL 7, 2023

A robust data warehouse architecture does everything in data management—including ETL (extraction, transformation, loading)—while ensuring data quality, consistency, speedy retrieval, and enhanced security at all times. Improving Data Quality and Consistency Quality is essential in the realm of data management.

Data Warehouse 52

Data Warehouse Healthcare Data Management Data Quality 52

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. of all data is currently analyzed and used. click for book source**.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Astera

AUGUST 22, 2023

Uncover hidden insights and possibilities with Generative AI capabilities and the new, cutting-edge data analytics and preparation add-ons We’re excited to announce the release of Astera 10.3—the the latest version of our enterprise-grade data management platform.

Innovation 52

Innovation Documentation Data Analytics Data Analytics 52

Tableau

APRIL 6, 2022

We’ve seen it through the pandemic where analytics went from a nice-to-have to being mission-critical. Dynamic data and visualizations will aid providers in taking a holistic approach to wellbeing in care models, including integration of SDOH data. This is where the intersection with telemedicine perfectly aligns.

Healthcare 97

Healthcare Supply Chain Real-time Data Government 97

Astera

SEPTEMBER 28, 2023

It’s one of many ways organizations integrate their data for business intelligence (BI) and various other needs, such as storage, data analytics, machine learning (ML) , etc. ETL provides organizations with a  single source of truth  (SSOT) necessary for accurate data analysis. What is Reverse ETL?

Data Warehouse 52

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

Tableau

APRIL 6, 2022

We’ve seen it through the pandemic where analytics went from a nice-to-have to being mission-critical. Dynamic data and visualizations will aid providers in taking a holistic approach to wellbeing in care models, including integration of SDOH data. This is where the intersection with telemedicine perfectly aligns.

Healthcare 93

Healthcare Supply Chain Real-time Data Government 93

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

DECEMBER 29, 2023

After you’re certain that you have modeled the source data correctly, all you need to do is to deploy it to the server and make it available for use in ETL or ELT pipelines or for data analytics. Build Your Data Warehouse Effortlessly With a 100% No-Code Platform Build a fully functional data warehouse within days.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

DECEMBER 29, 2023

After you’re certain that you have modeled the source data correctly, all you need to do is to deploy it to the server and make it available for use in ETL or ELT pipelines or for data analytics. Build Your Data Warehouse Effortlessly With a 100% No-Code Platform Build a fully functional data warehouse within days.

Data Warehouse 52

Data Warehouse Data Management Data Modelling Data Quality 52

Astera

SEPTEMBER 4, 2023

Data Transformation and Validation : Astera features a library of in-built transformations and functions, so you can easily manipulate your data as needed. It also includes data quality features to ensure the accuracy and completeness of your data.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Warehouse 52

Actian

JUNE 4, 2019

Data Migration – If you are replacing an existing data warehouse or consolidating data from your current databases, then you will need to migrate data from the old systems into the new warehouse. The migration itself isn’t difficult, but this is often when you discover data quality issues that must be addressed.

Data Warehouse 40

Data Warehouse Digital Transformation Data Quality Data Modelling 40

Data Pine

JANUARY 31, 2022

Using business intelligence and analytics effectively is the crucial difference between companies that succeed and companies that fail in the modern environment. As the first and most impactful of all benefits of analytics, we have the ability to make informed strategic decisions backed by factual information.

Business Intelligence 85

Business Intelligence Business Intelligence Data Analytics Data Analytics 85

Astera

APRIL 10, 2023

In today’s digital landscape, data management has become an essential component for business success. Many organizations recognize the importance of big data analytics, with 72% of them stating that it’s “very important” or “quite important” to accomplish business goals.

Data Management 52

Data Management IBM Maintenance Real-time Data IBM Support 52

Data Pine

NOVEMBER 27, 2019

Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144