by Teknita Team | Jul 7, 2022 | Uncategorized
Data in space is a new Power BI Mobile feature that uses augmented reality technology to create spatial anchors in the real world and attach Power BI data to them, so that data can be connected to the physical environment it is relevant to. You can put real-time data at the fingertips of employees where they need it, enabling them to make better, faster, and more informed decisions.
Data in space is powered by an integration of the Azure Spatial Anchors service and the Power BI Mobile app. This integration makes it possible to map real-world spaces in three dimensions, to create fixed, persistent spatial anchors in those spaces, and to attach digital content (Power BI reports) to these anchors. It also allows the app on any other device to search a space and look for anchors created in that space.
Data in space is set up in an organization by administrators. As part of setup, administrators assign users in the organization to one of two Data in space roles: writer and viewer:
– Writers can pin reports to locations as well as edit and delete pins;
– Viewers can scan to find and access pinned reports in a space.
A data in space writer goes to the location where it would be useful to have reports available in context on location. They open the report they want to pin in their mobile app, apply filters and slicers to configure the view they want the report to open to, and then they scan the space with their mobile app’s camera in order to map the space and pin the report to the desired location. When they pin the report, a spatial anchor is created and saved so that the report can later be found by others. They can do this multiple times in the same space, pinning different reports, or even different views of the same report. Later, a data in space viewer who needs to access the report on location can enter the space and find and access the pinned reports just by scanning the space with their mobile app’s camera.
You can read more about Data in space here.
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by Teknita Team | Jul 6, 2022 | Artificial Intelligence - Machine Learning, OpenText
OpenText Magellan Risk Guard software provides a simple dashboard UI to easily view and take action on risky files. With OpenText Cloud Editions (CE) 22.2, business users can now quickly customize their analysis of content in OpenText™ Extended ECM or Documentum by creating interactive PII and PSI reports that are integrated into the Magellan Risk Guard UI.
Custom interactive risk reports with a few clicks:
Magellan Risk Guard has always included seamless integrations with Extended ECM and Documentum. With the new OpenText™ Magellan BI & Reporting integration, business users click on a few menu items to create the custom interactive reports they require without needing assistance from experts in AI, Data Science or analytics. With access to the new reporting capability directly in the Magellan Risk Guard UI, users can report on the types of risky data that are the highest priority for their department or job role.
You can read more about AI-Powered Risk Analysis Reporting here.
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by Teknita Team | Jul 1, 2022 | Uncategorized
Microsoft is introducing Viva Sales, a new seller experience application that brings together any customer relationship management technology (CRM), Microsoft 365 and Teams to provide a more streamlined and AI-powered selling experience.
Viva Sales is a new modern way of selling. As a smart CRM companion, Viva Sales makes sellers’ lives easier while enriching their CRM. Think about all the customer and deal insights that are already in Outlook, Teams and Office applications like Word, Excel and PowerPoint, but never make it into the CRM system. These insights are hard to capture because the seller is tasked with entering data manually. By enhancing the CRM system with customer engagement data from Microsoft 365 and Teams along with the power of artificial intelligence (AI), Viva Sales empowers sellers to be more connected with their customers, resulting in more personalized customer engagements and closed deals faster. This happens through a simple customer tagging feature, which automates the data capture, saves the seller time, and provides their organization with a more complete picture of deal and customer status. With AI embedded throughout, Viva Sales is like a sales coach to move deals along with recommendations and reminders. This intelligence layer provides sellers the information they need to help them be more productive.
You can read more about the Viva Sales here.
You need more details?
For a complete list of new features and fixed issues, or to discuss any particular use case for your business applications, please contact us.
by Teknita Team | Jun 30, 2022 | Content Services
Microsoft is excited to announce the Data Hub!
The Data hub is the evolution of the Datasets Hub that was announced in December-2020.
In the Data hub, in addition to Power BI datasets, users can now find the newly released Datamarts.
The Data hub is a central location for data owners, report creators, and report consumers to manage, discover and reuse data items across all workspaces.
- Data item owners can see usage metrics, refresh status, related reports, lineage, and impact analysis to help monitor and manage their data items.
- Report creators can use the hub to find suitable items to build their reports on and use links to easily create the reports.
- Report consumers can use the hub to find reports based on trustworthy data items.
A major challenge for customers is that users often build similar data repeatedly, resulting in resource overload, governance complexity, and difficulty in identifying sources of truth.
The Data hub addresses these challenges by making it easier for users to discover existing, quality data and reuse it to answer business questions and gain insights.
Once user discovers a data item that seems to have the right data, a click on the item opens the data details page. On the details page you can see the following:
- Metadata about the data item, including description, endorsement, and sensitivity label.
- Actions such as share, refresh, create new, and more.
- Related reports, which are reports that were built on top of the dataset/datamart.
Data discovery best practices – before creating new reports, users should look at the existing related reports. If there are no such reports that are suitable, there are multiple ways to create a new report:
- Create report from template, if a template has been defined (a template is defined by adding the suffix “(template)” to a report built on top of the dataset/datamart).
- Create report from scratch to open a blank canvas and start creating your report.
- Auto-create a report. Note: This is currently supported only for single-table datasets.
- Create a formatted table.
You can read more about the Data hub here.
You need more details?
For a complete list of new features and fixed issues, or to discuss any particular use case for your business applications, please contact us.
by Teknita Team | Jun 29, 2022 | Uncategorized
CockroachDB 22.1 helps you to build better with less effort, at every stage of your application lifecycle. CockroachDB was made to enable use the same database from start to scale, without rebuilding an app and without crippling, complex operations.
CockroachDB 22.1 enables engineering teams to:
Developers can stand up CockroachDB and integrate it with their stack quicker than ever with:
– A new command-line tool (CLI) so users can manage and scale their cluster with code
– Integrations with the popular tools Prisma and Google Pub/Sub
– Support for time-to-live (TTL), which lets developers set a lifespan for row-level data
– Improvements to the developer-first offering, CockroachDB Serverless
- Optimize more efficiently & avoid toil.
CockroachDB already eliminates common database pains like downtime for maintenance, frequent patches, or black boxes around performance. With CockroachDB 22.1, users can now:
– Automate deployment and scaling with a new administrative API
– Optimize performance more easily with index recommendations and insights into transaction contention
– Monitor their clusters with a new integration with Datadog
- Scale better to meet peak demand, everywhere.
CockroachDB already automates and simplifies scale. This release adds updates including:
– Quality of Service (QoS) to let users maintain peak performance while handling millions of transactions per second
– A new capability to address data domiciling regulations for multi-regional and multi-national businesses
You can read more about CockroachDB 22.1 here.
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