In2018, Microsoft released the Continuous Update policy for Dynamics 365 Finance & Supply Chain Management (D365 FSCM), which included seven service updates per year.
Last month Microsoft announced it reducing the number of service updates released per year to four. Here’s what to expect with these upcoming D365 FSCM release schedule changes.
NEW RELEASE SCHEDULE
Major releases, previously known as the Spring and Fall updates, will shift to January and July, with minor updates in April and October. The new naming convention will also be introduced at the same time.
Major releases will be denoted on version numbers with a “*”, e.g., “CY25Q2: 10.0.43*”.
The update name will consist of two segments.
The first will denote the year and quarter the update is scheduled to automatically be applied to production environments.
The second segment will be the update version. For example, “CY24Q1: 10.0.38” is version 10.0.38 that will be automatically applied to production from the first quarter of 2024 onwards.
You can only pause one consecutive update instead of three.
The total minimum number of updates you are required to take per year remains at two.
Proactive Quality Updates (PQUs) remain unchanged and will be pushed in between service updates, delivering periodic cumulative hotfixes.
The PQUs will follow the same “safe-deployment” model, which first delivers the PQUs to a single region that contains a small group of customers who have the highest tolerance for risk.
When no regressions are identified, the process continues through a broader group of customers, based on geographies (stations), until all customers are using the new version.
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Microsoft 365 Copilot combines the power of large language models (LLMs) with your data in the Microsoft Graph and the Microsoft 365 apps to turn your words into the most powerful productivity tool on the planet.
Microsoft Graph is the gateway to data and intelligence in Microsoft 365. It provides a unified programmability model to access the tremendous amount of data in Microsoft 365, Windows, and Enterprise Mobility + Security. Use the wealth of data in Microsoft Graph to build apps for organizations and consumers that interact with millions of users. Custom applications can use the Microsoft Graph API to connect to data and use it in custom applications to enhance organizational productivity.
Microsoft Graph provides a single endpoint that the app can use to access the required data and to simplify the overall development process.
Organizations store vast amounts of data and intelligence across Microsoft cloud services, but how accessible is the data to users?
For example, a salesperson is setting up a meeting with a customer, wants to easily access files and previous meetings and notes but are those emails and chats between a salesperson and customer easy to find? What people within the organization can the customer contact for support?
Data and intelligence like the following types can be accessed through the Microsoft Graph REST APIs and client libraries:
Users and groups
Teams data
Tasks
Files
Mail
Meetings and calendars
Organizational charts
Copilot is an AI-powered tool that uses natural language processing and machine learning to understand users’ requests and provide personalized recommendations, tips, and assistance. Users can ask Copilot questions and get instant answers, guidance, and suggestions to help them work more efficiently.
Copilot is designed to be available across multiple Microsoft 365 applications, including :Word, Excel, PowerPoint, Teams and Outlook, and is intended to be context-aware. It ‘understands’ the user’s specific needs and the task at hand. Some examples of this functionality are the ability to point copilot to a word document, and request to create a power point presentation based on the data in the document.
Copilot will also work with tools from the Power Platform and Dynamics 365 products. Copilot for Power Virtual Agents is already in preview.
Copilot enables marketers to create targeted customer experiences and interactions that are informed by data-driven decision making. With access to the natural language data discovery feature in Customer Insights, they can build confidence by validating and discovering customer insights for their marketing strategies. For example, a marketer can ask Copilot how many of their customers fit the profile of currently residing in Washington, DC, who are over the age of 25, who have also attended a promotional event in the last six months.
With just a few clicks, Copilot will present the results of their query, including the number of customers that match the attributes or behaviors, as well as other useful information such as the customer lifetime value, product preferences, or average purchase price.
Copilot in Dynamics 365 Customer Insights removes the barrier of needing to craft queries in SQL to get a deeper understanding of customers, enabling marketers to speed and scale the delivery of hyper-personalized experiences that customers expect.
Copilot in Viva Sales
Automatically generate contextual email replies and meeting summaries with Copilot in Viva Sales, available to Dynamics 365 Sales customers. Copilot in Microsoft Dynamics 365 Sales and Viva Sales helps sellers dramatically reduce the time they spend on clerical tasks. AI helps write email responses to customers and can even create an email summary of a Teams meeting in Outlook. The meeting summary pulls in details from the seller’s CRM such as product and pricing information, as well as insights from the recorded Teams call. With sellers spending as much as 66% of their day checking and responding to emails, this presents a significant business upside to give the seller more time with their customers.
. For example, with Viva Sales, Copilot can learn how to connect to CRM systems of record to pull customer data — like interaction and order histories — into communications. As Copilot learns about new domains and processes, it will be able to perform even more sophisticated tasks and queries.
Copilot in Microsoft VivaGoalssimplifies goal setting by guiding leaders through the process of creating objectives and key results (OKRs) as well as simplifying goal management across the organization. Copilot can suggest draft OKR recommendations based on existing Word documents, such as an annual business plan or a product strategy paper. Once created, Copilot saves employees time by summarizing the status of OKRs, identifying blockers, and suggesting next steps. Lastly, Copilot can consolidate existing data to generate more comprehensive check-ins so teams can leverage a breadth of knowledge across different sources of truth.
An entirely new experience is Business Chat that works across he Microsoft 365 apps, and your data — your calendar, emails, chats, documents, meetings and contacts — to do things you’ve never been able to do before. You can give it natural language prompts like “Tell my team how we updated the product strategy,” and it will generate a status update based on the morning’s meetings, emails and chat threads.
You will be able to access Business Chat from Microsoft 365.com, from Bing when you’re signed in with your work account, or from Teams.
Copilot will fundamentally change how people work with AI and how AI works with people. As with any new pattern of work, there’s a learning curve — but those who embrace this new way of working will quickly gain an edge. Copilot is integrated into Microsoft 365 and automatically inherits all your company’s valuable security, compliance, and privacy policies and processes. Two-factor authentication, compliance boundaries, privacy protections, and more make Copilot the AI solution you can trust.
I have only scratched the surface – Teams swept the business world during COVID now Co-Pilot and VIVA integrated across your favourite apps erps and crm systems – we often read about game changing software and paradigm shifts- but this times it’s for real and faster than we realise.
Microsoft has invested billions of dollars into Dynamics 365 technology and security, which has produced many great new features.
When you move to the cloud, everyone is maintained on the same version, and you will always be in lockstep with Microsoft updates. You can be proactive and flexible in promoting those upgrades into your production environment to enhance your user experience.
Your integrations will become extensions-based, rather than relying on over-layering. This will give you several benefits because Extensions make rolling updates much easier
Easier to apply new releases, updates, and hotfixes without affecting customization
ISVs provide new releases quicker
Reduce the cost and effort involved with an upgrade
– all of this without impacting the core code of your environment
We understand why some businesses are hesitant to move to the cloud, but from our view, the benefits outweigh the risk. Microsoft has invested heavily in Azure. It is built on the latest hardware, has 24-7 monitoring year-round, and is consistently updated.
With this move, you will have peace of mind not having to worry about the hardware, energy, labour costs and work associated with backup and disaster recovery. While many businesses feel they have control over their on-site servers, this can lead to a false sense of security. Cyber threats are prevalent and getting faster and more sophisticated. Whether a business has on-site servers with a backup plan or not, many simply aren’t prepared for the worst-case scenario unless they have a large internal IT team or pay for a costly third-party IT service.
Microsoft recognizes this and has over 3,500 Azure cybersecurity professionals working to protect its cloud and has invested in it to the tune of over $1 billion annually. Simply put, upgrading takes that load off your shoulders and puts it onto a specially trained Microsoft team.
Azure also has thousands of connectors, and a Dataverse ( Common data model) to integrate non-Microsoft systems with your Dynamics 365 Finance and Operations environment.
One of the greatest benefits of upgrading is you can create low/no-code applications using the Power Platform. Power BI, PowerApps, Power Automate, and the Dataverse combine to form the Power Platform, a program that integrates seamlessly with Dynamics 365 solutions.
It lets you compile, design, and publish your data very easily into visually appealing reports and dashboards that can be used internally and externally and published to workspaces or organizational/public-facing apps.
Create apps for your team to have the information they need to work from wherever they are, on whatever device they use..
One of the best features of the Power Platform is that data changes synchronise across your system. For example, go into a system to update a client’s contact information, and that change will update in all your connected systems.
Power BI is a cloud-based analytics tool that gives you a single visual view of your most critical business data. You can create reports on the health of your business, dashboards displaying critical numbers and figures that help your staff work, and rich and interactive visualizations. It is easy to use and integrates seamlessly with Dynamics 365 technologies. There are out of the box embedded dashboards and Synergy has created many client specific dashboards.
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Dynamics 365 Project Operations will soon be one year since GA and more features will come next moth in the Wave 2 update. It is a combination of previous solutions (Project Management and Accounting feature of Dynamics 365 Finance and Supply Chain, Dynamics 365 Project Service Automation, and Microsoft Project) into a single set of user scenarios typical of project-centric businesses.
The long-term approach to the database back-end for Dynamics 365 Project Operations is he Dataverse. (formerly known as the Common Data Service) which consists of foundational, secure data entities to enable standard, mainstream business use cases with reusable business logic.
Project Management and Accounting development work will continue on X++ while Project Service Automation solutions will still be built on the Power Platform.
IFRS 17 is the newest IFRS standard for insurance contracts and replaces IFRS 4 on January 1st 2022. It states which insurance contracts items should by on the balance and the profit and loss account of an insurance company, how to measure these items and how to present and disclose this information.
This is a big change for insurance companies and data administration, financial presentation and actuarial calculations will need to change.
Why are IFRS 9 and IFRS 17 implemented together?
The insurance liability (IFRS 17) is always closely connected to the financial instruments (IFRS 9) within insurers.
When a client buys an insurance, the insurance liability is created and with the paid premiums are financial instruments bought.
Insurers want to reduce the volatility in their earnings and there are some choices within IFRS 9 and IFRS 17 which they can make which can impact the volatility.
Under IFRS 17 insurers can decide whether results of changing financial risk assumption go through OCI or through the profit and loss account.
Under IFRS 9 insurers can decide whether changes in equity will go through profit and loss or through OCI.
Both standards will impact earning volatility and hence balance sheet management choices are connected. Consequently, the IFRS board decided it is better that insurers are granted the option to implement both standards together.
IFRS 9 explains the classification and the measurement of financial instruments. Hence IFRS 9 helps to improve the information disclosure around financial instrument. Many perceive the information disclosure around financial instruments during the financial crisis as inaccurate for example impairments on financial instruments were taken too late and the amounts were too little.
IFRS 9 makes the classification of each financial instrument more logical and principle based. There are two questions which need to be answered for the classification:
Why is the company holding the asset; just for collecting the cash flows from the underlying asset, or is the asset also held for trading?
What kind of asset is the financial asset? Is it a derivative, an equity or a debt instrument? With the SPPI (solely payment of principal and interest) model it can be tested whether an instrument is really a debt instrument.
The classification determines:
which accounting principle is used;
should the instrument be measured at fair value or at amortized cost
and whether earnings and losses should go through the profit and loss account or through the OCI (other comprehensive income) account.
IFRS 9 also includes a more dynamic credit loss model instructing when an insurer should take an impairment on financial assets. The model is forward looking thereby also expected future losses should be taken into account with the impairment.
IFRS 9 also makes hedge accounting possibilities more rule based, thereby being in line with how risks are managed within insurers.
Why does this matter?
There is a huge impact on insurers and a big change in the disclosure.
Almost all of the asset and liability side is hit by the combination of IFRS 9 and IFRS 17.
New concepts and terms are introduced.
The standards will impact the presented numbers. Under IFRS 17 the insurance liability needs to be based on updated assumptions which is not currently a requirement. .
More data with more granularity and more history will challenge internal data storage, reporting and IT performance.
Reporting timelines are shortened, which will challenge the systems, and the cooperation between different departments.
New components like the unbiased Cash Flows, Risk Adjustment, Discount Rate and CSM are introduced. This means the insurer needs to understand the IFRS 17 principles and decide how to implement IFRS 17. For example which measurement model to choose for an insurance product, which transition measure to user. Read here more about the IFRS 17 model, and here about the transition period.
In the balance and income statement, insurance liability will n be specified in a different way, the importance of gross written premiums will disappear, while equity will be impacted.
The presentation of the balance and P&L are also significantly affected.
Risk engines are needed to calculate the CSM and cope with all the different groups
Insurers need to disclose information bases on group of contracts.
A group is a managed group (often a product) of contracts which were all profitable, onerous, or may become onerous (decided at inception) with a certain inception year. Insurance companies can have hundreds of groups and IFRS 17 insists on this grouping to have more transparency as insurance companies cannot offset the result of one group to another
Synergy Software Systems has been implementing and supporting financial solutions in the insurance vertical for 25 years. If you need to rapidly implement a solution for IFRS 17 compliance that will sit alongside your existing erp and finance systems then call us on 0097143365589.
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Today’s project-based services businesses operate in a highly competitive market, where winning new deals, accelerating project delivery, and increasing profit margins are significant challenges. Teams within these organizations are using disconnected systems for sales, project management, collaboration, and financials when success in this highly competitive environment requires unifying teams around actionable data.
Microsoft Dynamics 365 Project Operations connects sales, resourcing, project management, and finance teams in a single application to win more deals, accelerate project delivery, and maximize profitability.
Leaders get business insights to increase visibility across all teams, data, and processes, plus AI capabilities for better and faster business decisions.
Sales is enabled to win more deals and accelerate the sales cycle with fast and accurate quotes, flexible pricing, and seamless transitions from estimate to execution.
Resourcing is set up to optimize resource use by aligning the right people, with the right skills, to the right projects. This alignment improves quality and helps to retain top performers.
Project managers can accelerate project delivery with state-of-the-art, built-in project management that uses familiar, easy-to-use Microsoft Project capabilities.
Team members can improve productivity, collaboration, and visibility with integration to Microsoft Teams, and submit time and expenses from anywhere.
Finance can simplify project accounting with time and expense tracking governance, project costing, budgeting, invoicing, revenue recognition, compliance, and visibility into key business health metrics.
Project Operations is powerful on its own, but can be expanded by our customers who require more capabilities from Dynamics 365. These capabilities include Marketing, Human Resources, Customer Service, and more.
Whether you want the added functionality of another Dynamics 365 application or to add on a custom application built with Power Apps, everything works together and works like you expect because they share the common foundation of a secure, private, and compliant cloud-delivered solution.
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A bungled data migration of a network drive caused the deletion of 22 terabytes of information from Dallas Police Department police force’s systems – included case files in a murder trial,during a data migration exercise carried out at the end of the 2020-21 financial year
“On August 6, 2021, the Dallas Police Department (DPD) and City of Dallas Information and Technology Services Department (ITS) informed the administration of this Office that in April 2021, the City discovered that multiple terabytes of DPD data had been deleted during a data migration of a DPD network drive,” said a statement [PDF] from the Dallas County prosecutor’s office.
14TB were recovered, presumably from backups, but “approximately 8 Terabytes remain missing and are believed to be unrecoverable.”
The Home Office initially issued a statement saying the data loss was down to a “technical issue”, which had been resolved, There must have been some technical resolution because the Home Office later said it was not a technical issue after all, and in fact a “housekeeping error” with Home Secretary Priti Patel saying: “Home Office engineers continue to work to restore data lost as a result of human error during a routine housekeeping process earlier this week.”
In a letter published by The Guardian, National Police Chiefs’ Council (NPCC) deputy chief constable Naveed Malik, lead for the organisation on the Police National Computer (PNC), said approximately 213,000 offence records, 175,000 arrest records and 15,000 person records had potentially been deleted in error. The DNA database connected to the PNC saw 26,000 records corresponding to 21,710 subjects potentially deleted in error, “including records previously marked for indefinite retention following conviction of serious offences”. The letter also said 30,000 fingerprint records and 600 subject records may have been deleted in error.
The PNC dates back to the 1970s. The current iteration is a Fujitsu BS2000/OSD SE700-30 mainframe based in a Hendon data centre, running Software AG’s natural programming language-using ADABAS database. The UK’s territorial and regional police forces, Serious Fraud Office, Security and Secret Intelligence Services (MI5, MI6), HM Revenue & Customs, and the National Crime Agency all make use of it. They have controlled and 24-hour access from remote terminals and through local police force systems.
These incidents highlight the importance of backups and backup and recovery processes. How often do you test whether you can restore your back ups? Does this still work for restoring older back ups when you upgrade? Has a move to the cloud changed the retention of your back ups, the frequency of upgrades, or the ease or time for restore?
IFRS 17 is the newest IFRS standard for insurance contracts and replaces IFRS 4 on January 1st 2022. Mainly to make the financial statement easier to compare across insurance companies and among industries
It states which insurance contracts items should by on the balance and the profit and loss account of an insurance company, how to measure these items and how to present and disclose this information.
This is a big change for insurance companies because data administration, financial presentation and actuarial calculations will need to change!
IFRS 9 explains the classification and the measurement of financial instruments. Hence IFRS 9 helps to improve the information disclosure around financial instrument. Many perceive the information disclosure around financial instruments during the financial crisis as inaccurate for example impairments on financial instruments were taken too late and the amounts were too little. IFRS 9 makes the classification of each financial instrument more logical and principle based. There are two questions which need to be answered for the classification: • Why is the company holding the asset; just for collecting the cash flows from the underlying asset, or is the asset also held for trading? • What kind of asset is the financial asset? Is it a derivative, an equity or a debt instrument? With the SPPI (solely payment of principal and interest) model it can be tested whether an instrument is really a debt instrument. The classification determines: • which accounting principle is used; • should the instrument be measured at fair value or at amortized cost • and whether earnings and losses should go through the profit and loss account or through the OCI (other comprehensive income) account. IFRS 9 also includes a more dynamic credit loss model instructing when an insurer should take an impairment on financial assets. The model is forward looking thereby also expected future losses should be taken into account with the impairment. IFRS 9 also makes hedge accounting possibilities more rule based, thereby being in line with how risks are managed within insurers.
Why are IFRS 9 and IFRS 17 implemented together? • The insurance liability (IFRS 17) is always closely connected to the financial instruments (IFRS 9) within insurers. • When a client buys an insurance, the insurance liability is created and with the paid premiums are financial instruments bought. • Insurers want to reduce the volatility in their earnings and there are some choices within IFRS 9 and IFRS 17 which they can make which can impact the volatility. • Under IFRS 17 insurers can decide whether results of changing financial risk assumption go through OCI or through the profit and loss account. • Under IFRS 9 insurers can decide whether changes in equity will go through profit and loss or through OCI. Both standards will impact earning volatility and hence balance sheet management choices are connected. Consequently, the IFRS board decided it is better that insurers are granted the option to implement both standards together.
Likely impacts • New concepts and terms are introduced. for example components like unbiased Cash Flows, Risk Adjustment, Discount Rate and CSM • The standards will have an impact on the presented numbers. Under IFRS 17 the insurance liability needs to be based on updated assumptions which is currently not the case with IFRS 4. • Faster disclosure is needed, which needs faster processes within the organization • Insurance liability needs to be specified in a different way, the importance of gross written premiums disappears, while equity will be impacted. • Risk engines are needed to calculate the CSM and cope with all the different groups • The general ledger system will change as new measurements are introduced • Big impact on presentation of the balance and P&L • More data is needed. with finer granularity and with more history, which challenges internal data quality and consistency and IT performance. • Reporting timelines are also shortened. both challenging the systems but also the cooperation between different departments. • Staff training will be needed.
To find out more about the requirements contact us or your auditors. To update your financial software or to acquire software to support IFRS 17 please call Synergy Software Systems on 009714 3365589
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We’re excited to announce the ‘February 2021’ release of the SnapLogic Intelligent Integration Platform. In this release, there are a number of new Snap Packs: for Marketo and Hubspot. for Marketing Automation, for Microsoft Teams and Power BI for team communication and analytics rly, and OpenAPI to connect to any OpenAPI compliant endpoints.
There is also support for Azure Synapse analytics to our ELT capability. Platform enhancements include :
higher productivity through expanded Universal search,
platform notifications to Slack,
better reliability through Snaplex level scheduling, and more.
Hassle-free connectivity with NEW Snap Packs
New Snap Packs provide out-of-the-box connectivity to key enterprise endpoints. For example the new Marketo and Hubspot Snap Packs allow you to connect seamlessly to these marketing automation systems. Easily manage marketing assets/campaigns or leads that enter your marketing funnel. While HubSpot Snap Pack supports CRUD (create, read, update, delete) operations, the Marketo Snap Pack allows you to do bulk operations on leads.
With these Snap Packs, quickly sync your assets and leads data across Marketing, Sales, and other functional areas and easily connect to event/survey applications such as Eventbrite, SurveyMonkey, or to Demand Generation tools such as Google Ads, Linkedin, and Analytics endpoints such as Microsoft Power BI and Tableau.
The Microsoft Power BI Snap Pack is also new and allows you to connect your Power BI instance to hundreds of data sources to bring your data to life with live dashboards and reports. Visualize your data and share insights across teams or embed these in your app or website. The Snap Pack helps you to post, push datasets, read, and edit so that you can easily query data, create/bind entities, import files, and update entities.
For an organization that has a heavy investment in the Microsoft ecosystem, the next Snap Pack the new Microsoft Teams Snap Pack allows you to easily integrate your Microsoft Teams into your enterprise workflows for customers, employees, and teams. This Snap Pack supports accounts such as OAuth2 User, Application, and Dynamic accounts to adhere to your enterprise security standards. Use it to send messages, perform channel operations, and perform team operations. .
Another key new Snap Pack with this release is the OpenAPI Snap Pack. Most API endpoints today adhere to the OpenAPI specification version 2 or 3. Leverage this Snap Pack to connect to any API endpoint with the published OpenAPI specification so that users can get all the needed documentation while they build their automated workflows. More efficiently connect to any generic endpoint without the need for specific Snaps.
Improved connectivity with other Snap Pack enhancements
Google Sheets Snap Pack now supports JSON based version 4 of the API rather than XML based version 3
Kafka Snap Pack updates now support reading/writing record headers and timestamps, provide option to choose one output document per batch. The later feature allows systems that don’t natively support streaming data to effectively work with Kafka messages by batching them together.
Amazon Redshift and Amazon SQS Snap Packs provide cross-account IAM support that allows organizations to trust and allocate roles with specific access privileges to specific groups or users.
Pushdown to any cloud data warehouse including Azure Synapse
Over previous releases, Snaplogic has introduced ELT support for Snowflake, Redshift cloud data warehouses so that you can do both ETL and ELT on a single platform. The ELT support is extended to Azure Synapse with this release. With ELT for Azure Synapse, you can accelerate data loading into Azure Synapse to provide ultimate flexibility to transform data by use of all computing resources across SnapLogic and Azure Synpase, thus reducing TCO and enabling a faster time-to-value.
With the SnapLogic platform yextract data from SaaS applications and databases with a vast number of Snaps. Once the data is in the staging area in Azure Cloud Storage, visually define data transformations, no need to write SQL. These visual transformations are converted into SQL statements and pushed to Azure Synapse for execution.
New features added to SnapLogic ELT make it easy to discover schema and SQL functions in the target cloud data warehouse. The platform provides suggestions for column names during LOAD, INSERT SELECT or MERGE INTO operations. The platform also provides SQL function suggestions when working with your target cloud data warehouse. To deal with large number of SQL functions various cloud data warehouses support, are grouped into different categories to simplify discovery.
Better Ease of Use and improved resiliency with the Platform Updates
The SnapLogic Intelligent Integration platform continues to evolve to make it easy for integration developers, whether they are technical or non-technical, to build and monitor integrations.
Universal Search, as the name suggests helps you search everything related to SnapLogic, all from a single search box. With the February release, it now performs pipeline searches in addition to the searches in Community, Configured Snaps and Documentation. This is not just a simple text based search. The Iris AI integration assistant provides more relevant search results across generic content (in community and documentation) and specific content from your org (such as pipelines or configured Snaps that you have access to). T
To efficiently monitor your integrations use the platform notifications to Slack. Users then get notified via Slack for any notifications from SnapLogic platform such as Daily API Usage, Snaplex Congestion, CPU usage, user activity, in addition to email notifications. Send notifications either on Slack Channels or directly to users.
Enable Snaplex levels scheduling for all the scheduled tasks. This update reduces the time difference between the scheduled time of task execution and the actual time of task execution. With this update, your scheduled tasks won’t be affected by network disruption of the control plane helping your reliably deliver data that advances business processes and delivers insights.
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The performance degradation of applications running on Windows, and VMs is getting inherently worse. This includes latency issues, queries or reports timing out, crashes, missed SLAs, back office batch jobs bleeding over into production hours, and the litany of “shadow IT” problems that wreak havoc.
Even after migrating to a brand-new flash array, performance problems return because the root source of the problem still exists. The fact is, 30-40% of performance is being robbed by small, fractured, random I/O being generated due to operating system I/O inefficiencies. This is a software problem that is solved by our software.
DymaxIO™ fast data software will quickly:
Increase performance automatically – no tuning required. Simply install and watch performance problems disappear.
Optimizes writes so maximum payload is carried with every I/O operation.
Speed up I/O intensive applications like MS-SQL/Oracle, CRM, ERP, File Servers, Imaging, Web Servers, Backups, VDI.
Install our software on your most troublesome servers and see 30-50% or more of the noisy, garbage I/O offloaded and performance dramatically improved.
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