Best Data Management Software for Microsoft Power BI

Crisp uses the cloud to connect all data sources and analyze them in real-time. This provides you with the most relevant insights and trends for your company. Crisp is the way to take your data and leverage it with thousands of retailers, distributors, brands, and other businesses. We provide next-generation industry insights and trends; setting a new standard for retailer/distributor/brand collaboration. Your data is presented in a dashboard that is easy to read, share, and always up-to date. There is a lot of data. What do you do with all that data? How can you turn it into useful insights? Crisp provides the data you need and the ability to use it to gain a competitive advantage. Crisp allows you to analyze and organize multiple data sources, and then transform them into unified, actionable insights that can be used to build a supply chain that you can trust.

Meltano offers the most flexibility in deployment options. You control your data stack from beginning to end. Since years, a growing number of connectors has been in production. You can run workflows in isolated environments and execute end-to-end testing. You can also version control everything. Open source gives you the power and flexibility to create your ideal data stack. You can easily define your entire project in code and work confidently with your team. The Meltano CLI allows you to quickly create your project and make it easy to replicate data. Meltano was designed to be the most efficient way to run dbt and manage your transformations. Your entire data stack can be defined in your project. This makes it easy to deploy it to production.

VertiPaq Analyst is used to analyze VertiPaq storage structure for a data model using Power BI and Analysis Services Tabular. Added measures for segments or partitions: pageable and resident, refresh date, last acces. Analysis Services offers many Dynamic Management Views, (DMV), to gather information about the memory used by a data modeling. For example, DISCOVER_OBJECT_MEMORY_USAGE is a DMV that provides information about all the objects in memory. This DMV can also be used to monitor Analysis Services Multidimensional instances. Kasper de Jonge has created a sample model (BISM memory Report) that organizes the data in a hierarchical fashion. This makes it easy to find expensive tables, databases, and columns on a server. You will need to examine the details of a particular database to be able to analyze it.

Leading organizations today are using data to outperform their competitors, improve customer satisfaction, and discover new business opportunities. Traditional technologies and processes are being challenged by industry-specific regulations and privacy rules. Data quality is a must-have in any organization, but it often stops at the door of the BI/analytics program. Wiiisdom Ops can help your organization ensure quality assurance in the analytics component, which is the last mile of the data journey. You put your organization at risk by not having it. This could lead to disastrous decisions or automated disasters. Automation is essential for BI Testing at scale. Wiiisdom Ops seamlessly integrates into your CI/CD pipeline. This guarantees a seamless end-to-end analytics testing loop at lower costs. Wiiisdom Ops does not require engineering skills. You can centralize and automate all your test cases using a simple interface. Then, you can share the results.

Use your key metrics and data from sales and marketing, accounting, human resource management, project management, manufacturing, and purchasing to make important decisions. Stakeholder feedback is used to understand the "what and "why" of all your data with AI. Get supported insights and drive business improvements. Artificial intelligence automates the collection, storage, visualization, and consolidation of key figures, data, and feedback. AI will generate tailored recommendations for your company's actions. Data-based decisions that will help you reach your business goals. Industrytics allows you to continuously collect data and connect key figures through interfaces with your software applications (ERP CRM, accounting systems and time management software, Excel spreadsheets etc.). You can also receive feedback via automated feedback surveys.

Apache Spark provides a holistic component-based platform to automate Data Reconciliation tests for modern Data Lake and Cloud Data Migration Projects. DataOps DataFlow provides a modern web-based solution to automate the testing of ETL projects, Data Warehouses, and Data Migrations. Use Dataflow to load data from a variety of data sources, compare the data, and load differences into S3 or a Database. Create and run dataflow quickly and easily. A top-of-the-class testing tool for Big Data Testing DataOps DataFlow integrates with all modern and advanced sources of data, including RDBMS and NoSQL databases, Cloud and file-based.

Get your data where you need them most. All your digital data can be gathered, normalized and visualized in one place. You wouldn't read a book without pages. So why give reports that don't tell the whole story? SmartFeed integrates all your digital data and allows you to feed it directly into the platform of choice. This gives marketers and analysts the tools they need for creating trustworthy visualizations and reports. Integrate metrics from all your marketing platforms, including SEO, analytics and PPC, ad network, customer experience CRM, sales, databases, etc. You can normalize your data and create a customized feed to display the exact metrics and definitions you need. Your digital data can be visualized in any format or platform you choose. With reliable, smart data feeds your data will always remain current and accessible. Automated data feeds can be delivered directly to the data visualization and business intelligence platform of choice.

You can unify your data catalog, reduce communication overhead, and enable quality control for any employee of your company without having to deploy or install anything. Rudol is a data platform that helps companies understand all data sources, regardless of where they are from. It reduces communication in reporting processes and urgencies and allows data quality diagnosis and issue prevention for all company members. Each organization can add data sources from rudol's growing list of providers and BI tools that have a standardized structure. This includes MySQL, PostgreSQL. Redshift. Snowflake. Kafka. S3*. BigQuery*. MongoDB*. Tableau*. PowerBI*. Looker* (*in development). No matter where the data comes from, anyone can easily understand where it is stored, read its documentation, and contact data owners via our integrations.

Easy data management will power your business. Connect, transform and visualise your data quickly and scalable. Kleene allows you to easily access all of the data in your SaaS application. Once the data has been extracted, it's stored and organized into a cloud data warehouse. The data is cleaned up and organized to be used for analysis. Dashboards that are easy to use to gain insights and make data driven decisions to drive your growth. Never waste time again creating your own data pipelines. 150+ pre-built data connectors library. Custom connectors can be built on demand. Always work with the latest data. Setup your data warehouse within minutes, without any engineering. Our unique transformation tools will accelerate your data model creation. Best-in class data pipeline management and observability. Kleene offers industry-leading dashboard templates. Our industry expertise will help you to improve your dashboards.

Say goodbye to paper logs and outdated tools. Streamline communications within your team and increase efficiency. Integrate data from other devices or software to enable seamless data collection. Automate everything with data links, approval flow, notifications, and reminding. Teams and granular access control can be used to ensure personalized app experiences, data compliance and app customization. Grid can be connected to IoT devices using REST APIs, DB Connectors, and a variety of supported protocols, including MQTT & http. Ingest data and manipulate, query, report and build workflows to push it into Grid dashboards or other apps such as SAP, Jira or PowerBI.

DataOps ETL Validator, the most comprehensive ETL testing and data validation tool, is the most comprehensive ETL testing automation software. Comprehensive ETL/ELT Validation Tool to automate testing of data migration projects and data warehouses with an easy-to-use component-based user interface and low-code, zero-code test creation. ETL involves extracting data, transforming it according to operational needs, and then loading it into the target database or data store. ETL testing involves verifying accuracy, integrity and completeness of the data as it moves along the ETL process in order to ensure that it meets business requirements and rules. Automation of ETL testing is possible with tools that automate data validation, comparison, and transformation tests. This will speed up the testing cycle, reduce manual labor, and significantly accelerate the testing cycle. ETL Validator automates ETL tests by providing intuitive interfaces to create test cases without extensive programming.

Find, access and take action with your data. A user-friendly AI-powered data gallery will help your users find the data they are looking for. This solution is designed to democratize access to data within your organization. It offers a seamless online experience for exploring data assets across the enterprise, finding them, evaluating them, and taking actions. A seamless online shopping experience for data consumers that makes it easy to find and act on your data products. Data products are tagged and classified to improve findability. Consumers can use their existing BI tools and analytic software or interact with data using NLP. Controlling access to data within an organization is made easy. Set permissions for data products by role and grant access to requests easily.

DataTrust accelerates test cycles and reduces the cost of delivery through continuous integration and continuous distribution (CI/CD). It is a powerful tool for data validation, data reconciliation, and data observability at a large scale. It is code-free and easy to use. Re-usable scenarios allow you to perform comparisons, validations and reconciliations. Automate your testing process and be alerted to any issues that arise. Interactive executive reports that provide insights into the quality dimension. Filters to customize drill-down reports. Compare row counts for multiple tables at the schema level. Checksum data comparisons can be performed for multiple tables. Rapid generation of business rule using ML. Flexibility in accepting, modifying, or discarding rules as required. Reconciling data across multiple sources. DataTrust solutions offer a full suite of applications for analyzing source and target datasets.

AnalyticsCreator lets you extend and adjust an existing DWH. It is easy to build a solid foundation. The reverse engineering method of AnalyticsCreator allows you to integrate code from an existing DWH app into AC. So, more layers/areas are included in the automation. This will support the change process more extensively. The extension of an manually developed DWH with an ETL/ELT can quickly consume resources and time. Our experience and studies found on the internet have shown that the longer the lifecycle the higher the cost. You can use AnalyticsCreator to design your data model and generate a multitier data warehouse for your Power BI analytical application. The business logic is mapped at one place in AnalyticsCreator.

Lyons Quality Audit Tracking System® (LQATS) is a web-based solution that allows you to collect, analyze, and display quality audit results from suppliers and staff within a manufacturing company. LQATS collects real-time audit information from all over the world. Suppliers (shipment audits) Final audits by company auditors Distribution centers Plants for manufacturing LQATS allows for real-time entry, tracking and analysis of quality audit data from Distribution Centers and Supplier Plant locations. These features include: Smart controls to reduce user data entry and retrieval Tracking of Change History You can quickly search for data using many different query parameters Monitor global performance in real-time Fabric inspections Six-sigma analysis Disposition log Data presented in tabular and graphic formats, with output to Excel, PDF, or other formats.

We offer a standard data warehouse that uses Microsoft Dynamics NAV to process your ERP data and make it available in a qualified, standardized manner for analysis and evaluation. You have the ability to customize the presentation and presentation of your data, key figures and other key figures. We offer multi-dimensional, standardized OLAP cubes via the Bechtle Data Warehouse that can be displayed using any front-end tool you choose. Are you already using a visualization tool? Online Analytical Processing (OLAP), which is a standard supported by most BI and reporting tools, is no problem for our data warehouse. Modern companies are conscious of the fact that they have given decision-making power and responsibility to specialist departments. They need reliable data to make precise decisions. IT was once hired to perform analyses.

Azure Data Lake offers all the capabilities needed to make it easy to store and analyze data across all platforms and languages. It eliminates the complexity of ingesting, storing, and streaming data, making it easier to get up-and-running with interactive, batch, and streaming analytics. Azure Data Lake integrates with existing IT investments to simplify data management and governance. It can also seamlessly integrate with existing IT investments such as data warehouses and operational stores, allowing you to extend your current data applications. We have the experience of working with enterprise customers, running large-scale processing and analytics for Microsoft businesses such as Office 365, Microsoft Windows, Bing, Azure, Windows, Windows, and Microsoft Windows. Azure Data Lake solves many productivity and scaling issues that prevent you from maximizing the potential of your data.

Molecula, an enterprise feature store, simplifies, speeds up, and controls big-data access to power machine scale analytics and AI. Continuously extracting features and reducing the data dimensionality at the source allows for millisecond queries, computations, and feature re-use across formats without copying or moving any raw data. The Molecula feature storage provides data engineers, data scientists and application developers with a single point of access to help them move from reporting and explaining with human scale data to predicting and prescribing business outcomes. Enterprises spend a lot of time preparing, aggregating and making multiple copies of their data before they can make any decisions with it. Molecula offers a new paradigm for continuous, real time data analysis that can be used for all mission-critical applications.

Bluetab Solutions developed Truedat, an open-source data governance business solution tool. It was created to help our clients become data-driven businesses. We assist in defining business processes, roles and responsibilities. We can also help you put these processes into action. Integration and customization of truedat’s open-source components to support data governance processes. We guarantee the maintenance and support of the solution modules we have installed. Based on our extensive experience, we have created a solution that addresses the need for Data Governance. This allows you to manage complex and changing data architectures. Truedat is becoming more important due to the increasing migration of enterprise IT platforms into cloud, multi-cloud, hybrid architectures. This increases the complexity, sources, and types of data. Our Data Governance consulting and development experience spans more than 8 years.

Power Query makes it easy to connect, extract and transform data from a variety of sources. Power Query is a data preparation and transformation engine. Power Query includes a graphical interface to retrieve data from sources, and a Power Query Editor to apply transformations. The destination where the data will be stored is determined by where Power Query was installed. Power Query allows you to perform the extraction, transform, load (ETL), processing of data. Microsoft's Data Connectivity and Data Preparation technology allows you to seamlessly access data from hundreds of sources and modify it to your requirements. It is easy to use and engage with, and requires no code. Power Query supports hundreds data sources with built in connectors and generic interfaces (such REST APIs and ODBC, OLE and DB) as well as the Power Query SDK for creating your own connectors.

You can load your data into Hadoop or data lakes. Prepare it for visualizations, advanced analytics, reports and reporting - all from the data lakes. You can do it all yourself, fast and easily. It makes it easy to access, transform, and manage data stored in Hadoop/data lakes using a web-based interface. This reduces training requirements. It was designed from the ground up to manage large amounts of data in Hadoop and data lakes. It is not repurposed or adapted from existing IT-focused tools. You can group multiple directives together to run simultaneously, or one after another. The exposed Public API allows you to schedule and automate directives. Allows you to share or secure directives. These directives can be called from SAS Data Integration Studio. This combines technical and non-technical user activities. Included directives: casing, gender, pattern analysis, field extract, match-merge, cluster-survive. For better performance, profiling runs parallel on the Hadoop cluster.

Integrate master data management technologies into SAS 9.4. SAS MDM can be accessed via the SAS Data Management console. It provides a single, accurate, and unified view for corporate data by integrating data from multiple sources into one master record. SAS®, Data Remediation, and SAS(r] Task Manager can be used together with SAS MDM as well as other software offerings such as SAS® Data Management or SAS(r] Data Quality. SAS Data Remediation allows users to resolve issues that are triggered by business rules in SAS MDM batch job and real-time processes. SAS Task Manager is a complementing application that integrates with SAS Workflow technologies. It allows users direct access to a workflow that may have been initiated from another SAS app. Workflows that have been uploaded can be started, stopped, or transitioned.

Enterprise Recon by Ground Labs allows organizations to find and correct sensitive information from a wide range of structured and unstructured data. This includes data stored on your servers, on employees' devices, and in the cloud. Enterprise Recon allows organizations around the world to discover all their data and comply to GDPR, PCI DSS and CCPA, HIPAA and Australian Privacy. GLASS™, Ground Labs proprietary technology, powers Enterprise Recon. It enables the fastest and most accurate data discovery across a wide range of platforms. Enterprise Recon supports sensitive data discovery on Windows and MacOS, Linux, FreeBSD and Solaris. It also supports HP-UX and IBM AIX. Enterprise Recon has both agent and non-agent options. Remote options are also available to store almost any network data.

The Alex Platform is your company's single source for data and business truth. Alex is the foundation of our customers' data-driven success. Alex is designed to reduce complexity and create value from the first day of implementation. Alex Augmented Data Catalog uses the best machine learning in the industry to quickly provide an enterprise-wide, unified data platform. Alex Data Lineage can help you understand and map your data flows, no matter how complex or complicated your technical landscape. Global teams require global coordination. The Alex Intelligent Business Glossary's beautiful interface and rich functionality are ideal for global collaboration. Unifying all definitions, policies and metrics to reduce complexity in multi-cloud environments and global enterprises will help you to manage the complexity. Global data governance programs can be powered.

Understanding health issues requires the integration of complex and diverse data sources, even when they are within the context of single country interventions. Data can be gathered from HMIS platforms like DHIS2, individual tracking systems, custom software designed to address specific issues or various Excel reports provided in part by health professionals. It is often difficult to analyze and explore data from different sources. Collaboration is also difficult because many data analysts working with health data end up creating ad-hoc visualisations and scripts on their laptops. This makes it difficult for them to share their results in scattered publications, making it difficult to gain unified insights. Bluesquare created OpenHexa, which is a cloud-based data management platform that consists of three components: extraction, analysis, and visualization. This platform is largely based on open-source technologies that are mature.