Sisense

JANUARY 15, 2021

Big data is now modeled and queried using advanced coding languages like SQL, Python, and R. And rather than answering prescriptive questions — something that BI teams excel at — data teams are able to model future events and understand how changing a past variable could have affected the present.

Skillset 75

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Astera

AUGUST 21, 2023

Introduced in 1996 by Ralph Kimball, a star schema is a multi-dimensional data modeling technique. It is the simplest schema type businesses use in data warehousing. This simple, denormalized structure makes it very efficient for querying data. Free Ebook - The Essential Toolkit For Data Warehouse Automation Download

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Astera

JANUARY 18, 2024

Fivetran is a low-code/no-code ELT (Extract, load and transform) solution that allows users to extract data from multiple sources and load it into the destination of their choice, such as a data warehouse. and data lakes (Amazon S3 and Azure Data Lake). Workflow automation and process orchestration.

Data Warehouse 52

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Sisense

MAY 31, 2020

We’ve taken what we’ve learned from our customers and combined it with our own understanding of how the data and analytics world is evolving to drive innovations that unlock new possibilities and help our clients future-proof their products and services. Customer success isn’t a team sport – it’s a company value.

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Sisense

JULY 14, 2019

Disaster Recovery: deals with how vital systems are backed up so that if they are damaged or destroyed, code and vital data is recoverable. Incident Management: provides an action plan in case of a breach or other security event. Does your data model encompass all the datasets it needs to in order to drive value for your users?

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Astera

JANUARY 24, 2024

Modern data management relies heavily on ETL (extract, transform, load) procedures to help collect, process, and deliver data into an organization’s data warehouse. However, ETL is not the only technology that helps an enterprise leverage its data. It provides multiple security measures for data protection.

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Astera

SEPTEMBER 20, 2024

his setup allows users to access and manage their data remotely, using a range of tools and applications provided by the cloud service. Cloud databases come in various forms, including relational databases, NoSQL databases, and data warehouses. There are several types of NoSQL databases, including document stores (e.g.,

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Actian

FEBRUARY 25, 2020

These cloud services leverage cloud-native architectures that are often highly distributed, leverage parallel processing, involve non-relational data models, and can be spun up or shut down in a matter of seconds. Events and data are evaluated, leading to dynamic workflows emerging based upon the needs of the individual transaction.

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Astera

MAY 31, 2024

On the other hand, Data Science is a broader field that includes data analytics and other techniques like machine learning, artificial intelligence (AI), and deep learning. Data integration combines data from many sources into a unified view. The integrated data is then stored in a Data Warehouse or a Data Lake.

Data Analytics 52

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Astera

APRIL 23, 2024

Data quality metrics are not just a technical concern; they directly impact a business’s bottom line. million annually due to low-quality data. Furthermore: 41% of data warehouse projects are unsuccessful, primarily because of insufficient data quality.

Data Quality 52

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Domo

APRIL 12, 2021

Data products provide a similar challenge. Between different data models, formats, and other software eccentricities, even a skilled team of data engineers and architects can struggle to make tools play nicely with one another. Post-acquisition, Company X is still essentially two companies from a data perspective.

Retail 52

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Cprime

JANUARY 27, 2021

At the heart of the Power Platform is Microsoft’s Common Data Model (Service). The CDS is a data storage service in Microsoft 365. Power BI is a set of services, apps, and connectors that together turn your unrelated sources of data into coherent, virtually immersive, and interactive insights.

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Whizlabs

JUNE 15, 2021

4D: Data-driven Development. The future is going to be data-driven development, where it’ll not just be enough to make an app or software, but you will also have to create a data model and manage the data amongst your users. . With the help of AWS Nitro Systems, data compression can be accelerated.

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Data Pine

SEPTEMBER 29, 2022

With quality data at their disposal, organizations can form data warehouses for the purposes of examining trends and establishing future-facing strategies. Industry-wide, the positive ROI on quality data is well understood. Business/Data Analyst: The business analyst is all about the “meat and potatoes” of the business.

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The BAWorld

NOVEMBER 22, 2021

Data Modeling. Data modeling is a process used to define and analyze data requirements needed to support the business processes within the scope of corresponding information systems in organizations. Conceptual Data Model. Logical Data Model : It is an abstraction of CDM. Data Profiling.

Data Analytics 98

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Insight Software

MAY 1, 2023

These sit on top of data warehouses that are strictly governed by IT departments. The role of traditional BI platforms is to collect data from various business systems. It is organized to create a top-down model that is used for analysis and reporting. Look for the ability to parameterize and tokenize. Privacy Policy.

Embedded Analytics 52

Embedded Analytics IBM Support IBM Maintenance IBM cost 52

Insight Software

AUGUST 27, 2021

Jet Analytics is a robust Business Intelligence (BI) solution that complements Jet Reports with a data warehouse and advanced analytics capabilities. It includes pre-built projects, cubes, and data models, as well as a suite of ready-to-run reports and dashboards. We designed Jet Analytics for operational efficiency.

IBM Maintenance 98

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Insight Software

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. This includes cleaning, aggregating, enriching, and restructuring data to fit the desired format.

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Insight Software

JULY 15, 2021

Major weather events, shifts in the political landscape, or legal and regulatory changes can all prompt some level of speculation as to likely outcomes in the context of a broader set of all possible outcomes. Inflation and consumer spending, likewise, will probably fluctuate within a few points above or below the historical average.

IBM Maintenance 98

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Insight Software

MAY 3, 2021

Jet Analytics enables you to pull data from different systems, transform them as needed, and build a data warehouse and cubes or data models structured so that business users can access the information they need without having to understand the complexities of the underlying database structure.

IBM Support 98

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Insight Software

AUGUST 20, 2024

Its seamless integration into the ERP system eliminates many of the common technical challenges associated with software implementation; unlike other tools that make you customize data models, Jet Reports works directly with the BC data model. This means you get real-time, accurate data without the headaches.

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Insight Software

JULY 24, 2023

Here are the burdens facing your team with on-premises ERP solutions: Too complex: ERP data models are complex and difficult to integrate with other ERPs, BI tools, and cloud data warehouses. Too inflexible: Financial processes such as month-end close require flexibility and access to up-to-date data.

IBM Maintenance 52

IBM Maintenance IBM cost IBM Support Data Warehouse 52

Insight Software

SEPTEMBER 19, 2023

Data Access What insights can we derive from our cloud ERP? What are the best practices for analyzing cloud ERP data? Data Management How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP?

IBM cost 52

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Insight Software

MAY 6, 2022

Their combined utility makes it easy to create and maintain a complete data warehouse solution with very little effort. Jet acts as the perfect conduit between your ERP data and Power BI. Unlock Rapid Data Analysis in PowerBI With Jet. Data models must be refreshed either manually or on a set schedule.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support IBM cost 52

Insight Software

SEPTEMBER 30, 2022

What are the best practices for analyzing cloud ERP data? Data Management. How do we create a data warehouse or data lake in the cloud using our cloud ERP? How do I access the legacy data from my previous ERP? How can we rapidly build BI reports on cloud ERP data without any help from IT?

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost IBM Expert 52

Insight Software

JUNE 9, 2022

Angles for Oracle delivers a context-aware, process-rich business data model, with a library of 1,800 pre-built, no-code business reports, and a high-performance process analytics engine for Oracle Business Applications, including EBS and OCA. Seamless Integration with Cloud Data Warehouse Targets. Cloud data replication.

IBM Maintenance 52

IBM Maintenance IBM Support IBM Expert Data Warehouse 52

Insight Software

OCTOBER 14, 2022

Angles for SAP applies a context-aware, process-rich business data model to SAP’s complex data structure and simplifies into normal business terms and language users understand, empowering business users to get answers quickly. I understand that I can withdraw my consent at any time. Privacy Policy.

Supply Chain 52

Supply Chain Finance IBM Maintenance IBM Support 52

Insight Software

SEPTEMBER 1, 2023

For example, in an e-commerce application, predictive analytics can help anticipate spikes in traffic during specific events or seasons, allowing the team to scale server capacity accordingly. This prevents over-provisioning and under-provisioning of resources, resulting in cost savings and improved application performance. Privacy Policy.

Predictive Analytics 52

Predictive Analytics IBM Support IBM Maintenance Embedded Analytics 52

Insight Software

NOVEMBER 21, 2023

To have any hope of generating value from growing data sets, enterprise organizations must turn to the latest technology. You’ve heard of data warehouses, and probable data lakes, but now, the data lakehouse is emerging as the new corporate buzzword. To address this, the data lakehouse was born.

IBM Maintenance 52

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Insight Software

SEPTEMBER 22, 2023

However, the complexity of Microsoft Dynamics data structures serves as a roadblock, making it difficult to use Power BI without a proper connection to your data. Dynamics ERP systems demand the creation of a data warehouse to ensure fast query response times and that data is in a suitable format for Power BI.

Data Visualization 52

Data Visualization Visualization IBM Maintenance IBM Support 52

Insight Software

JUNE 9, 2022

Too difficult & inflexible: Oracle data models are complex and difficult to integrate with other ERPs, BI tools, and cloud data warehouses. Changes made to the data model will often require technical support including, but not limited to, a forced reboot of connected applications. Privacy Policy.

IBM Support 52

IBM Support Supply Chain IBM Maintenance Finance 52

Insight Software

DECEMBER 8, 2023

Organizations seeking cloud migration must recalibrate processes, reconfigure data models, and adapt to a new interface and functionality. For finance teams, the shift to S/4HANA signifies a departure from familiar landscapes, often requiring a steep learning curve and a drop in productivity. Privacy Policy.

Finance 52

Finance IBM Maintenance IBM Support Supply Chain 52

Insight Software

JULY 13, 2023

Have A Single Version of the Truth Gathering and formatting data from multiple sources costs precious time and resources that can be better spent on value-add activities. The point-and-click data warehouse automation allows for BI customization that’s five times faster than manual coding. Privacy Policy.

IBM Maintenance 52

IBM Maintenance IBM Support IBM Expert Finance 52

Insight Software

APRIL 3, 2023

Process mining generates an event log of this data and evaluates the path you’ve taken to identify inefficiencies and help you fix them. In ERPs like SAP, process mining extracts descriptive models from event logs to reconstruct the underlying business process flows. Why process mining?

IBM Maintenance 52

IBM Maintenance IBM Support IBM Expert Supply Chain 52

Insight Software

JULY 8, 2022

SAP data models are complex and often difficult to integrate with BI tools. Changes made to the data model will often require technical support. Angles for SAP provides you with a contextual understanding of your SAP data without having to go to data analysts or IT who may not understand or grasp the necessary content.

IBM Maintenance 52

IBM Maintenance IBM Support Supply Chain IBM Expert 52

Insight Software

OCTOBER 24, 2023

Angles Enterprise for SAP applies a context-aware, process-rich business data model to SAP’s complex data structure and simplifies it into normal business terms and language users understand, empowering business users to get answers quickly. I understand that I can withdraw my consent at any time. Privacy Policy.

Supply Chain 52

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Insight Software

AUGUST 31, 2022

The best corporate tax accounting software makes it easy to model scenarios and outcomes based on multiple variables. Recent events have clarified that agility is a key factor for success in today’s global economy. There are only so many iterations that can be explored without adding substantial resources to your team. Privacy Policy.

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