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

Tableau

AUGUST 1, 2022

As they struggle to manage and get value from it, they seek guidance. . How to Win in Today's Data Economy, Snowflake Inc., They leverage the critical insights gleaned from data to address key business challenges and goals. . Migrate to the cloud . Tableau’s journey to the cloud.

E-Commerce 52

E-Commerce Digital Transformation Agile Retail 52

The Uncommon League

MARCH 17, 2020

Back in 2010, data-focused companies were still relatively new and analytics weren’t as commonly used. Since then, however, data analytics has become an integral part of every department in many organizations, moving BAs from their siloed corners. Based on its own data, business analyst jobs increased by 160 percent.

Agile 94

Agile Documentation Enterprise Architecture Business Analysis 94

GAVS Technology

SEPTEMBER 8, 2021

The need of the hour is to not only make all this data available for use but to also put in place advanced systems and infrastructure that can fulfill rising data management and analysis needs. So, what’s exactly behind the data overflow that we are seeing in the healthcare industry today?

Healthcare 40

Healthcare Procurement Artificial Intelligence Data Management 40

Astera

DECEMBER 21, 2022

These data warehouses leverage the power of the cloud to offer enhanced scalability, flexibility, and elasticity to organizations. Today, more and more businesses are adopting cloud data warehouses as part of their data analytics and business intelligence strategies, owing to the benefits they offer.

Data Warehouse 52

Data Warehouse Supply Chain Business Intelligence Business Intelligence 52

Astera

OCTOBER 19, 2023

Flexibility and Adaptability Flexibility is the tool’s ability to work with various data sources, formats, and platforms without compromising performance or quality. It should be able to adjust to new technologies, handle increasing data volumes, and accommodate new business goals. Top 5 Data Preparation Tools for 2023 1.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Actian

AUGUST 22, 2019

The push for business agility has caused applications and business processes to change rapidly, thereby increasing the cost of integration between applications. This application data integration churn is difficult for ETL solutions to support. By pulling data when you need it, any changes have already been applied.

Data Warehouse 40

Data Warehouse Agile Data Management Planning 40

Data Pine

NOVEMBER 5, 2019

And we’re not just talking about marketing, but all your business’ bits and pieces should embrace the power of modern data analysis and utilize a professional dashboard creator that will enhance your data management processes. Without data, you are just another person with an opinion.” – W. Still unsure? Edwards Deming.

Monitoring 88

Monitoring Visualization Big Data Chief Data Officer 88

Actian

SEPTEMBER 17, 2019

The result is that these systems are not easily extended either for localized analytics and visualization, sharing data across local systems, or easily and securely exchanging data with modern backend systems for further analytics and visualization. Technology that empowers historical data to shape the future.

Artificial Intelligence 40

Artificial Intelligence Data Warehouse Visualization Vision 40

Actian

JUNE 17, 2019

A 4–5 tier refinement process that includes filtering data at the source, aggregating it in an operational data warehouse, normalizing it into an enterprise data model, segmenting it into functional views and then curating it into role-based dashboards and reports will provide data consumers with better quality and actionable information insights.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Actian

MAY 28, 2019

Data Warehouse-as-a-Service (DWaaS) is a modern solution to address the data management challenges of today’s companies. Data is critical to how modern companies operate, from providing actionable analytics and insights to fueling digitally transformed business processes.

Data Warehouse 40

Data Warehouse Cloud Computing Digital Transformation Business Intelligence 40

BizAcuity

SEPTEMBER 16, 2019

Include easy-to-use tools that support the full analytic workflow — from data preparation and ingestion to visual exploration and insight generation. Have the ability to self-service and be agile enough to be configured. Ability to ingest data from unstructured as well as structured sources with same ease and effectiveness.

Visualization 174

Visualization Data Visualization Business Intelligence Business Intelligence 174

Actian

DECEMBER 9, 2019

How Avalanche and DataConnect work together to deliver an end-to-end data management solution. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Actian DataConnect and Actian Avalanche give you that end-to-end data management solution.

Data Warehouse 8

Data Warehouse Digital Transformation Supply Chain Real-time Data 8

BizAcuity

NOVEMBER 8, 2019

Include easy-to-use tools that support the full analytic workflow — from data preparation and ingestion to visual exploration and insight generation. Have the ability to self-service and be agile enough to be configured. Ability to ingest data from unstructured as well as structured sources with same ease and effectiveness.

Visualization 154

Visualization Data Visualization Business Intelligence Business Intelligence 154

Actian

SEPTEMBER 17, 2019

During the era of digital transformation, data provides the fuel for your business to accelerate and move forward, becomes more agile, and enables your leaders to make sound business decisions. What defines “managing data effectively”? Legacy approaches to data management.

Artificial Intelligence 9

Artificial Intelligence Data Warehouse Digital Transformation Data Management 9

BizAcuity

MAY 10, 2022

2007: Amazon launches SimpleDB, a non-relational (NoSQL) database that allows businesses to cheaply process vast amounts of data with minimal effort. An efficient big data management and storage solution that AWS quickly took advantage of. They now have a disruptive data management solution to offer to its client base.

IBM cost 130

IBM cost IBM Support Cloud Computing Data Warehouse 130

Whizlabs

JANUARY 27, 2021

Understanding of other development methodologies and processes such as Agile. Storage and data management – 12%. Try Now – Free Practice Questions for AWS Certified Big Data – Specialty Exam. One must satisfy the following criteria to be eligible for AWS Certified Big Data – Specialty exam.

Big Data 105

Big Data Data Analytics Data Analytics Monitoring 105

BizAcuity

NOVEMBER 8, 2019

Include easy-to-use tools that support the full analytic workflow — from data preparation and ingestion to visual exploration and insight generation. Have the ability to self-service and be agile enough to be configured. Ability to ingest data from unstructured as well as structured sources with same ease and effectiveness.

Visualization 100

Visualization Data Visualization Business Intelligence Business Intelligence 100

BizAcuity

NOVEMBER 8, 2019

Include easy-to-use tools that support the full analytic workflow — from data preparation and ingestion to visual exploration and insight generation. Have the ability to self-service and be agile enough to be configured. Ability to ingest data from unstructured as well as structured sources with same ease and effectiveness.

Visualization 100

Visualization Data Visualization Business Intelligence Business Intelligence 100

ElegantJ BI

SEPTEMBER 6, 2019

With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. SSDP or Self-Serve Data Preparation is a crucial component of Advanced Data Discovery. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. SSDP or Self-Serve Data Preparation is a crucial component of Advanced Data Discovery. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

With self-serve tools, data discovery and analytics tools are accessible to team members and business users across the enterprise. SSDP or Self-Serve Data Preparation is a crucial component of Advanced Data Discovery. What is SSDP?

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

Actian

AUGUST 22, 2019

The push for business agility has caused applications and business processes to change rapidly, thereby increasing the cost of integration between applications. This application data integration churn is difficult for ETL solutions to support. By pulling data when you need it, any changes have already been applied.

Data Warehouse 8

Data Warehouse Agile Data Management Planning 8

Actian

JULY 29, 2019

Enabling specialization provides not only lead to better performance, but also a path to long-term scalability and business agility. They may reside on-premise, in the cloud or be a Software as a Service (SaaS) solution that third parties manage. Your transactional systems must be optimized for real-time processing.

Data Mining 8

Data Mining Digital Transformation Digital Data Modelling 8

Astera

OCTOBER 27, 2023

The “cloud” part means that instead of managing physical servers and infrastructure, everything happens in the cloud environment—offsite servers take care of the heavy lifting, and you can access your data and analytics tools over the internet without the need for downloading or setting up any software or applications.

Data Warehouse 52

Data Warehouse Data Quality Big Data Predictive Analytics 52

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

AUGUST 8, 2023

The drag-and-drop, user-friendly interface allows both technical and non-technical users to leverage Astera solutions to carry out complex data-related tasks in minutes, improving efficiency and performance. Interactive Data Grid: The tool offers agile data correction and completion capabilities allowing you to rectify inaccurate data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Astera

APRIL 3, 2023

The marketing team would not have access to the necessary data from the sales team to target the right audience effectively and achieve the desired results in lead generation. By creating a system that allows for seamless data integration across departments, businesses can break down invisible barriers and foster an adaptive, agile culture.

Innovation 52

Innovation Healthcare Data Security Retail 52

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

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. Let’s break it down for you.

Digital 239

Digital Business Intelligence Business Intelligence Monitoring 239

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

Astera

SEPTEMBER 20, 2023

Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

Data integration is a core component of the broader data management process, serving as the backbone for almost all data-driven initiatives. It ensures businesses can harness the full potential of their data assets effectively and efficiently.

Data Warehouse 52

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

Whizlabs

APRIL 19, 2021

Michelle has more than 20 years of experience in the field of research in statistics, data analytics, consulting and market research. As a Chief Customer Officer, she is expert in cloud-based subscription models, automation and data analytics to drive customer adoption of software and reduce churn.

Cloud Computing 145

Cloud Computing IBM Support IBM Maintenance IBM cost 145

Data Pine

OCTOBER 30, 2019

Usually created with past data without the possibility to generate real-time or future insights, these reports were obsolete, comprised of numerous external and internal files, without proper data management processes at hand. The rise of innovative report tools means you can create data reports people love to read.

Visualization 51

Visualization Retail Data Visualization Government 51

Actian

SEPTEMBER 3, 2019

Gone are the days of data at rest and stagnant data lakes – enterprises need to consume data rather than just store it, and ensure all of the data accessible to them is leveraged. . Only 25% of enterprises with access to the data they need, have the freshness or recency of data they desire.

Data Architecture 40

Data Architecture User Experience Data Warehouse Innovation 40