BIG DATA MANAGEMENT
Alpha Serve | June 07, 2022
Alpha Serve has created the Power BI Connector to help organizations add their ServiceNow information as a data source to Power BI and be able to use it for their specific business reporting and analytics needs.
Microsoft Power BI is a powerful data visualization tool that allows companies to accelerate the integration of all the needed data sources for further analysis and reporting. And the insights received with the tool help to develop and implement smart business decisions.
ServiceNow, in its turn, is a comprehensive cloud platform that helps companies manage digital workflows for their business operations. It combines lots of solutions, including those for automation, analysis, resource management, etc., and allows connecting people, functions, and systems across the organization.
Typically, to connect these two tools, teams use Rest API or CSV files, but the procedure may require additional resources and coding skills. And the solution has a lot of limitations, in particular, limited data amount. Power BI Connector is the first application of its kind on the ServiceNow Store allowing direct Power BI ServiceNow integration.
The app allows users to export ServiceNow data to Power BI for further processing as well as to add ServiceNow to other data sources with Power Query for complex reporting. Power BI Connector has advanced filtering options for more precise and relevant information selection and ensures secure data sharing by setting permissions and access. Professional tech support is also available to help users get the most out of the tool.
It will be especially useful for data analysts and agile teams that need consolidated reporting across all business functions.
"We are happy to present a new BI integration solution — Power BI Connector. The plugin links ServiceNow with Microsoft's most powerful business intelligence platform Power BI. We have noticed that IT companies use dozens of products in their everyday routine to manage the workflow and are continuously looking for applications connecting all their tools to maintain effective production and optimize company processes. That's why we decided to create a new application which has no analogs in the ServiceNow Store."
Anna Odrynska, the Alpha Serve's Chief Strategy Officer
Alpha Serve is a leading software development company with the main focus on product integrations and BI connectors. It is a reliable contractor of IT enterprises and a ServiceNow Technology Partner. The company's main goal is to transform technological expertise into valuable solutions with proven scalability, performance, and high-level data security that help businesses to improve customer satisfaction and effectiveness.
BIG DATA MANAGEMENT
Sesame Software | August 12, 2022
Sesame Software, the innovative leader in Enterprise Data Management and creator of Relational Junction, today announced the addition of a new data source connector for HubSpot. With Relational Junction for HubSpot, you can easily connect HubSpot with cloud applications and relational databases to the data warehouse of your choice. This connector empowers data teams to improve data quality, eliminate silos, and uncover new insights to support data-driven decision-making.
HubSpot is a leading platform for inbound marketing, sales, and customer relationship management. With HubSpot, you can get exhaustive data on your marketing efforts and Relational Junction helps you take control of that data.
Relational Junction is a no-code data integration and replication platform able to easily connect HubSpot and a wide variety of other data sources to your various data destinations. Thanks to its scalable architecture and automation, you can easily grow your data without the need for labor-intensive processes, including manual data entry, data mapping, and maintenance. As a result, you have the data you need, continuously updated and all in one place, allowing for you to provide better customer experiences with more targeted and informed campaigns.
Connect Your HubSpot Data with Your Data Warehouse and Business Intelligence Tool
Relational Junction supports delivery to a wide range of cloud data storage and on-prem data warehouses, allowing you to consolidate all of your data into a single location for archiving, reporting, analytics, and more.
In a matter of minutes, you can connect your Hubspot marketing and sales data with other data sources. Send your Hubspot data to feed your BI, your data warehouse, or your custom analytics stack and see a full view of your leads, analytics, sales, and customer service information.
Relational Junctions Key Benefits:
Easily access, discover, and connect HubSpot data with adjacent enterprise systems — such as databases, ERP and CRM systems, and custom applications
Replicate HubSpot data into your data warehouse quickly and with no coding necessary
Move data at the fastest possible speed with hyper-threaded high-volume data connectors
Keep data fresh with automated data syncs for timely insights and accurate reporting
About Sesame Software
Sesame Software is the Enterprise Data Management leader, delivering data rapidly for enhanced reporting and analytics. Sesame Software's patented Relational Junction data platform offers superior solutions for data warehousing, integration, backup, and compliance to fit your business needs. Quickly connect to SaaS, on-premise, and cloud applications for accelerated insights.
BIG DATA MANAGEMENT
IBM | July 07, 2022
IBM today announced it has acquired Databand.ai, a leading provider of data observability software that helps organizations fix issues with their data, including errors, pipeline failures and poor quality — before it impacts their bottom-line. Today's news further strengthens IBM's software portfolio across data, AI and automation to address the full spectrum of observability and helps businesses ensure that trustworthy data is being put into the right hands of the right users at the right time.
Databand.ai is IBM's fifth acquisition in 2022 as the company continues to bolster its hybrid cloud and AI skills and capabilities. IBM has acquired more than 25 companies since Arvind Krishna became CEO in April 2020.
As the volume of data continues to grow at an unprecedented pace, organizations are struggling to manage the health and quality of their data sets, which is necessary to make better business decisions and gain a competitive advantage. A rapidly growing market opportunity, data observability is quickly emerging as a key solution for helping data teams and engineers better understand the health of data in their system and automatically identify, troubleshoot and resolve issues, like anomalies, breaking data changes or pipeline failures, in near real-time. According to Gartner, every year poor data quality costs organizations an average $12.9 million. To help mitigate this challenge, the data observability market is poised for strong growth.1
Data observability takes traditional data operations to the next level by using historical trends to compute statistics about data workloads and data pipelines directly at the source, determining if they are working, and pinpointing where any problems may exist. When combined with a full stack observability strategy, it can help IT teams quickly surface and resolve issues from infrastructure and applications to data and machine learning systems.
Databand.ai's open and extendable approach allows data engineering teams to easily integrate and gain observability into their data infrastructure. This acquisition will unlock more resources for Databand.ai to expand its observability capabilities for broader integrations across more of the open source and commercial solutions that power the modern data stack. Enterprises will also have full flexibility in how to run Databand.ai, whether as-a-Service (SaaS) or a self-hosted software subscription.
The acquisition of Databand.ai builds on IBM's research and development investments as well as strategic acquisitions in AI and automation. By using Databand.ai with IBM Observability by Instana APM and IBM Watson Studio, IBM is well-positioned to address the full spectrum of observability across IT operations.
For example, Databand.ai capabilities can alert data teams and engineers when the data they are using to fuel an analytics system is incomplete or missing. In common cases where data originates from an enterprise application, Instana can then help users quickly explain exactly where the missing data originated from and why an application service is failing. Together, Databand.ai and IBM Instana provide a more complete and explainable view of the entire application infrastructure and data platform system, which can help organizations prevent lost revenue and reputation.
"Our clients are data-driven enterprises who rely on high-quality, trustworthy data to power their mission-critical processes. When they don't have access to the data they need in any given moment, their business can grind to a halt. "With the addition of Databand.ai, IBM offers the most comprehensive set of observability capabilities for IT across applications, data and machine learning, and is continuing to provide our clients and partners with the technology they need to deliver trustworthy data and AI at scale."
Daniel Hernandez, General Manager for Data and AI, IBM
Data observability solutions are also a key part of an organization's broader data strategy and architecture. The acquisition of Databand.ai further extends IBM's existing data fabric solution by helping ensure that the most accurate and trustworthy data is being put into the right hands at the right time – no matter where it resides.
"You can't protect what you can't see, and when the data platform is ineffective, everyone is impacted –including customers," said Josh Benamram, Co-Founder and CEO, Databand.ai. "That's why global brands such as FanDuel, Agoda and Trax Retail already rely on Databand.ai to remove bad data surprises by detecting and resolving them before they create costly business impacts. Joining IBM will help us scale our software and significantly accelerate our ability to meet the evolving needs of enterprise clients."
Headquartered in Tel Aviv, Israel, Databand.ai employees will join IBM Data and AI, further building on IBM's growing portfolio of Data and AI products, including its IBM Watson capabilities and IBM Cloud Pak for Data. Financial details of the deal were not disclosed. The acquisition closed on June 27, 2022.
Databand.ai is a product-driven technology company that provides a proactive data observability platform, which empowers data engineering teams to deliver reliable and trustworthy data. Databand.ai removes bad data surprises such as data incompleteness, anomalies, and breaking data changes by detecting and resolving issues before they create costly business impacts. Databand.ai's proactive approach ties into all stages of your data pipelines, beginning with your source data, through ingestion, transformation, and data access. Databand.ai serves organizations throughout the globe, including some of the world's largest companies in entertainment, technology, and communications. Our focus is on enabling customers to extract the maximum value from their strategic data investments. Databand.ai is backed by leading VCs Accel, Blumberg Capital, Lerer Hippeau, Differential Ventures, Ubiquity Ventures, Bessemer Venture Partners, Hyperwise, and F2.
IBM is a leading global hybrid cloud and AI, and business services provider, helping clients in more than 175 countries capitalize on insights from their data, streamline business processes, reduce costs and gain the competitive edge in their industries. Nearly 3,800 government and corporate entities in critical infrastructure areas such as financial services, telecommunications and healthcare rely on IBM's hybrid cloud platform and Red Hat OpenShift to affect their digital transformations quickly, efficiently, and securely. IBM's breakthrough innovations in AI, quantum computing, industry-specific cloud solutions and business services deliver open and flexible options to our clients. All of this is backed by IBM's legendary commitment to trust, transparency, responsibility, inclusivity, and service.
BIG DATA MANAGEMENT
Tamr, Inc. | May 21, 2022
Tamr, the leading cloud-native data mastering solution, today announced the introduction of Tamr Enrich, a set of enrichment services built natively into the data mastering process. Using Tamr’s patented human-guided machine learning, Tamr Enrich curates and actively manages external datasets and services, enabling customers to seamlessly embed trusted, high-quality external data insights to their data mastering pipelines for richer business.
“Companies go to great lengths, spending millions of dollars to attempt to derive business value from disparate data sources,” said Anthony Deighton, Tamr’s chief product officer. “We’re excited to offer a built-in solution that provides one-click simplicity and makes customers’ data cleaner and more complete.”
For example, when a business wants to integrate an application programming interface (API) for address validation and standardization, it requires significant investment to implement the capability, including hiring a vendor to find the source, build the integration, maintain the integration, manage the vendor and make updates. Tamr Enrich eliminates many of these obstacles, enabling clean, trusted data without complexity. Customers also benefit from Tamr’s unique ability to continuously add new enrichment sources versus existing solutions in the market today that offer a static set of services.
Tamr Enrich allows customers to unlock more value from mastered data faster to:
Improve match rates. Customers can realize a potential 2x improvement.
Automate more. Customers see model confidence improved by 20+%.
Simplify data enrichment. Services are fully managed by Tamr and delivered in one click.
Eliminate broken data. Tamr Enrich allows customers to identify contacts or companies with no valid contact information and accelerate time-to-insight.
Standardize values. Data is ready for use in analytics tools.
Expand insights. New attributes unlock new uses for existing data.
“We previously needed to manage multiple vendors, which was expensive operationally and added significant complexity to our data operations,” said Harveer Singh, Chief Data Architect at Western Union, “Tamr Enrich is a game-changer. It gives us a complete, integrated solution that enables Western Union to deliver a seamless digital experience to our customers. Tamr’s made it easier to maintain clean, curated data across the customer journey.”
About Tamr, Inc.
Tamr is a leading data mastering company, accelerating the business outcomes of the world’s largest organizations by powering analytic insights, boosting operational efficiency, and enhancing data operations. Tamr’s cloud-native solutions offer an effective alternative to traditional Master Data Management (MDM) tools, using machine learning to do the heavy lifting to consolidate, cleanse, and categorize data. Tamr is the foundation for modern DataOps at large organizations, including industry leaders like Toyota, Santander, and GSK. Backed by investors including NEA and Google Ventures, Tamr transforms how companies get value from their data.