Smart Data Collective

MARCH 21, 2022

More case studies are added every day and give a clear hint – data analytics are all set to change, again! . Data Management before the ‘Mesh’. In the early days, organizations used a central data warehouse to drive their data analytics. The Benefits of Data Mesh.

Data Management 166

Data Management Government Data Warehouse Big Data 166

The BAWorld

DECEMBER 23, 2023

Business Data Analyst Another distinct type is the Business Data Analyst, often seen working on data analytics projects. This role requires skills in data analytics, including knowledge of machine learning basics, artificial intelligence, and programming languages like Python.

Banking 52

Banking UML Business Analysis Business Analysis 52

Sisense

APRIL 17, 2020

Identifying the exact data you need to solve a singular problem results in a perfect candidate to go into your warehouse on the first cycle. Another piece of advice that Charles talks about in his “ Hacking the Analytic Apps Economy ” video series is where the innovation factory should live.

Digital Transformation 81

Digital Transformation Data Warehouse Innovation Digital 81

Sisense

MARCH 6, 2019

A big part of our Elastic Data Hub strategy comes from the belief that even the best data warehouses need rapid prototyping environments for BI professionals.

Data Analytics 75

Data Analytics Data Analytics Data Warehouse Agile 75

Domo

MAY 24, 2021

According to Gartner , data integration is “the consistent access and delivery of data across the spectrum of data subject areas and data structure types in the enterprise to meet the data consumption requirements of all applications and business processes.” Conclusion.

Government 136

Government Data Architecture Business Intelligence Business Intelligence 136

Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

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

Astera

SEPTEMBER 20, 2023

It ensures businesses can harness the full potential of their data assets effectively and efficiently. It empowers them to remain competitive and innovative in an increasingly data-centric landscape by streamlining data analytics, business intelligence (BI) , and, eventually, decision-making.

Data Warehouse 52

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

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. Real-time Data Integration Every day, about 2.5

Data Management 52

Data Management IBM Maintenance Real-time Data IBM Support 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

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

Actian

AUGUST 22, 2019

Extract, Transform, and Load (ETL) is the process that has been used to share data between applications, transactional systems, and data warehouses for decades. The push for business agility has caused applications and business processes to change rapidly, thereby increasing the cost of integration between applications.

Data Warehouse 40

Data Warehouse Agile Data Management Planning 40

Astera

APRIL 7, 2023

Data Integration – the process of collecting and combining data from multiple data sources to create a unified data view. Data Storage – a process of storing and managing the collected data in a data warehouse or a database repository.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Data Integration – the process of collecting and combining data from multiple data sources to create a unified data view. Data Storage – a process of storing and managing the collected data in a data warehouse or a database repository.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Actian

JUNE 17, 2019

The key to converting data into actionable insights is having the right set of tools and a structured method for processing data through a value stream to generate progressive levels of refinement. There are only 2 levels of refinement (aggregation into the warehouse and curation into reports) occurring.

Data Warehouse 40

Data Warehouse Digital Transformation Real-time Data Digital 40

Actian

MAY 23, 2019

Because data is separated and fragmented, decision makers (at all levels of the organization) are prevented from seeing the holistic big picture of how their actions and decisions impact the company. Data silos and company culture. Breaking down your data silos starts with understanding how they were initially created.

Data Warehouse 40

Data Warehouse Data Modelling Agile Planning 40

Sisense

OCTOBER 2, 2019

Business intelligence tools, on the other hand, are usually designed with agility and flexibility in mind. The whole process of deriving actionable insights from business data depends on users being able to mash up different and new sources of data any way they see fit.

Business Intelligence 75

Business Intelligence Business Intelligence Data Warehouse Data Analytics 75

Actian

SEPTEMBER 17, 2019

Currently, three primary technology shifts are combining to move beyond the capabilities and expected outcomes of Data Historian software. Modern Time-Series Databases capture multi-modal data. Outside of the OT domain, the rest of your company data is stored in standard databases and data warehouses.

Artificial Intelligence 40

Artificial Intelligence Data Warehouse Visualization Vision 40

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. Alteryx Alteryx data preparation tool offers a visual interface with hundreds of no/low-code features to perform various data preparation tasks.

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

Actian

AUGUST 27, 2019

Our data shows that over 4 in 5 IT decision-makers (ITDMs) say one of the most painful parts of data analytics is how long it takes to deploy, yet businesses who can leverage more of their data sooner and more often for actionable insights outpace competitors who are less agile.

Real-time Data 40

Real-time Data Logistics Data Warehouse Big Data 40

Actian

AUGUST 27, 2019

Our data shows that over 4 in 5 IT decision-makers (ITDMs) say one of the most painful parts of data analytics is how long it takes to deploy, yet businesses who can leverage more of their data sooner and more often for actionable insights outpace competitors who are less agile.

Real-time Data 40

Real-time Data Logistics Data Warehouse Big Data 40

Actian

MAY 21, 2019

On the contrary, storing and maintaining data you aren’t using is actually a liability. Data only creates value for a company when it is used to drive business decisions, establish sustainable competitive advantage and enable business agility. Data is a tool (not an asset) and value is only created when data is being consumed.

Big Data 40

Big Data Data Warehouse Artificial Intelligence Digital Transformation 40

Astera

AUGUST 8, 2023

Data Validation: Astera guarantees data accuracy and quality through comprehensive data validation features, including data cleansing, error profiling, and data quality rules, ensuring accurate and complete data. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

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

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

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

Actian

NOVEMBER 26, 2019

The Challenges of Connecting Disparate Data Sources and Migrating to a Cloud Data Warehouse. Migrating to a cloud data warehouse makes strategic sense in the modern context of cloud services and digital transformation. Conceptually, it is easy to understand why you would want to move to a cloud data warehouse.

Data Warehouse 8

Data Warehouse Vision Digital Transformation Data Security 8

BizAcuity

SEPTEMBER 5, 2022

Inability to get player level data from the operators. It does not make sense for most casino suppliers to opt for integrated data solutions like data warehouses or data lakes which are expensive to build and maintain. BizAcuity [ISO 9001:2015, 27001:2013 certified], is a data analytics consulting company.

Visualization 246

Visualization Data Warehouse Business Intelligence Business Intelligence 246

Actian

AUGUST 22, 2019

Extract, Transform, and Load (ETL) is the process that has been used to share data between applications, transactional systems, and data warehouses for decades. The push for business agility has caused applications and business processes to change rapidly, thereby increasing the cost of integration between applications.

Data Warehouse 8

Data Warehouse Agile Data Management Planning 8

Actian

SEPTEMBER 17, 2019

Managing your company’s data and digital assets effectively is essential. 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”?

Artificial Intelligence 9

Artificial Intelligence Data Warehouse Digital Transformation Data Management 9

BizAcuity

MAY 10, 2022

2012: Amazon Redshift, the first of its kind cloud-based data warehouse service comes into existence. Fact: IBM built the world’s first data warehouse in the 1980’s. Google launches BigQuery, its own data warehousing tool and Microsoft introduces Azure SQL Data Warehouse and Azure Data Lake Store.

IBM cost 130

IBM cost IBM Support Cloud Computing Data Warehouse 130

Leading Agile

AUGUST 20, 2018

James Grenning , a well-known leader in the embedded software field and the author of Test-Driven Development for Embedded C is also among the authors of the Agile Manifesto and an early adopter of Extreme Programming (XP). ” They asked me how they could streamline the workflow and move to a more “agile” delivery cadence.

IBM Support 66

IBM Support IBM Maintenance IBM cost Agile 66

Actian

OCTOBER 28, 2019

Sustainable competitive advantage in this environment is built on three things – information, innovation, and agility. The key to innovation and business agility is enabling change to take place in a safe and controlled manner – you don’t want to slow down change, only minimize disruption. Data flow orchestration.

Innovation 8

Innovation Data Warehouse Digital Transformation Agile 8

Smart Data Collective

OCTOBER 13, 2021

If we talk about Big Data, data visualization is crucial to more successfully drive high-level decision making. Big Data analytics has immense potential to help companies in decision making and position the company for a realistic future. There is little use for data analytics without the right visualization tool.

Data Visualization 339

Data Visualization Visualization Big Data Artificial Intelligence 339

Data Pine

FEBRUARY 22, 2022

Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on. This should also include creating a plan for data storage services. Develop a “Data Dictionary”.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

Insight Software

NOVEMBER 14, 2022

Increase Agility With Financial Reporting Software. Most ERP solutions were built to collect data, not to report on it. You can complete your regular financial reporting using the built-in accounting features in your ERP, but it will take time – time that could be spent on analysis rather than data processing.

Agile 52

Agile IBM Maintenance Supply Chain IBM Expert 52

Insight Software

APRIL 18, 2024

You now must connect organizational data and enable agility across all relevant stakeholders if you hope to achieve profitability. Modern finance leaders like yourself must invest in the right technology to effectively connect data for real-time planning and analysis.

Planning 52

Planning IBM Maintenance IBM Support Finance 52

Insight Software

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.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52