A Common Problem:
- My Reports run slow
- Reports take 3 hours to run
- We don’t have enough time to run our reports
- It takes 5 minutes to view the first page!
As the report processing time increases, so the frustration level.
Apache Flink offers a fast, distributed, and failure-tolerant data-processing engine along with APIs for many different use cases, chief among them stateful stream processing. We give a quick overview of the capabilities of Flink before discussing the current state of Flink, the upcoming new release, and future developments.
What to consider when moving to Microsoft Azure
The slide deck is about the observations, discoveries and obstacles we had to deal with while lifting and shifting the IT infrastructure of a few clients from either on-premise or from other hosting providers to Microsoft Azure.
This talk was given at the Azure Accelerator Conference by Liquid Telecom in Mauritius.
https://www.liquidtelecom.com/azure-accelerator-event-mauritius-2019.html
Supporting Splunk at Scale, Splunking at Home & Introduction to Enterprise Se...Harry McLaren
Slide deck delivered at the June Splunk User Group in Edinburgh: Supporting Splunk at Scale, Splunking at Home & Introduction to Enterprise Security.
Sign up to the group here: https://usergroups.splunk.com/group/splunk-user-group-edinburgh/
The slides from this presentation were used in a live webinar that covered a variety of MongoDB Data Management topics including: How quickly can organizations recover from accidental data loss or ransomware, how to ensure compliance and security of PII when mirroring across different environments, specific architectural considerations to consider when running in a hybrid or pure cloud environment.
Intelligently Monitor And Rapidly Troubleshoot Streaming Fast Data Applicatio...Lightbend
**NOTE: Catch the demo part of the presentation on the Lightbend YouTube channel: https://youtu.be/upjvaDQ8N6s**
In this webinar with Lightbend Principal Engineer, David Brinegar, we review how OpsClarity is purpose-built to intelligently monitor streaming applications and help Ops teams resolve issues quickly. Included in the video is a 20-minute demo showing out of the box operational metrics, end-to-end visibility into data pipelines and the ability to correlate problems and issues across various streaming components.
Apache Flink offers a fast, distributed, and failure-tolerant data-processing engine along with APIs for many different use cases, chief among them stateful stream processing. We give a quick overview of the capabilities of Flink before discussing the current state of Flink, the upcoming new release, and future developments.
What to consider when moving to Microsoft Azure
The slide deck is about the observations, discoveries and obstacles we had to deal with while lifting and shifting the IT infrastructure of a few clients from either on-premise or from other hosting providers to Microsoft Azure.
This talk was given at the Azure Accelerator Conference by Liquid Telecom in Mauritius.
https://www.liquidtelecom.com/azure-accelerator-event-mauritius-2019.html
Supporting Splunk at Scale, Splunking at Home & Introduction to Enterprise Se...Harry McLaren
Slide deck delivered at the June Splunk User Group in Edinburgh: Supporting Splunk at Scale, Splunking at Home & Introduction to Enterprise Security.
Sign up to the group here: https://usergroups.splunk.com/group/splunk-user-group-edinburgh/
The slides from this presentation were used in a live webinar that covered a variety of MongoDB Data Management topics including: How quickly can organizations recover from accidental data loss or ransomware, how to ensure compliance and security of PII when mirroring across different environments, specific architectural considerations to consider when running in a hybrid or pure cloud environment.
Intelligently Monitor And Rapidly Troubleshoot Streaming Fast Data Applicatio...Lightbend
**NOTE: Catch the demo part of the presentation on the Lightbend YouTube channel: https://youtu.be/upjvaDQ8N6s**
In this webinar with Lightbend Principal Engineer, David Brinegar, we review how OpsClarity is purpose-built to intelligently monitor streaming applications and help Ops teams resolve issues quickly. Included in the video is a 20-minute demo showing out of the box operational metrics, end-to-end visibility into data pipelines and the ability to correlate problems and issues across various streaming components.
Distributed Management Console helps Splunk Admins deal with the monitoring and health of their Splunk deployment. In Splunk 6.3, we built views for Splunk Index and Volume Usage, Forwarder Monitoring, Search Head Cluster Monitoring, Index Cluster Monitoring, and tools for visualizing your Splunk Topology. Leverage Splunk DMC and come see the forest -and- the trees in your Splunk deployment!
The Google BigQuery Story: Optimizing 25PB StorageIvan Kosianenko
We want to share our story of migration of our storage in BigQuery to a new partitioning schema, what we’ve learned on the way and what we have achieved at the end.
Speaker - Derar Bakr, Senior Data Engineer @ AppsFlyer Data Group.
O'Reilly Media Webcast: Building Real-Time Data PipelinesSingleStore
As our customers tap into new sources of data or modify to existing data pipelines, we are often asked questions like: What technologies should we consider? Where can we reduce data latency? How can we simplify our data architecture?
To eliminate the guesswork, we teamed up with Ben Lorica, Chief Data Scientist at O’Reilly Media to host a webcast centered around building real-time data pipelines.
Our post recession economy is demanding better decision making in a more timely and effective manner. Business Intelligence (BI) software is the next tool you can't do without! From financial reporting to budgeting, company consolidation to sales analysis, we'll show you creative and powerful ways to utilize Sage's BI tools. If you're looking for a software package that is going to provide you the information you need, when you need it, in a format you can understand, then you simply must attend this session.
Data Con LA 2018 - Standing on shoulders of giants by Sooraj AkkammadamData Con LA
Standing on shoulder of giants building Core Digital Media's data platform using Big Data technologies by Sooraj Akkammadam, ETL Architect, Core Digital Media
Core Digital Media is one of the leading advertisers in the online space. We are responsible for about a fifth of the ads a person sees online on a day to day basis. This is accomplished by our Marketing team, who continues to find performance wins by leveraging proprietary algorithms, deep learning models and advanced analytics to optimize the Ad spend. All these frameworks rely on the performance data available in the Core Digital Media’s Enterprise Data Warehouse - EDW to make decisions. The performance data is collected from a multitude of marketing channels like Social - Facebook, Search - Google, Content - Taboola, Media, Affiliate and Retention and integrated into EDW. Timely and consistent availability of data in EDW is extremely critical for marketing optimization. This talk details how we migrated our Marketing data loads from a legacy ETL platform to a data infrastructure built around Apache Kafka and Apache Spark, using Python and Scala. This migration not only lead to a reduction in data availability times from an average of 60+ minutes to 2 mins but also we are able to load 24*7 into the EDW. As a part of the talk we will talk about why we chose Kafka and Spark Structured streaming for this, what were some of the challenges we faced and also some of the best practices to follow for implementing data streaming architectures.
Three Pillars, Zero Answers: Rethinking ObservabilityDevOps.com
Observability has never been more important: the complexity of microservices makes it harder and harder to answer basic questions about system behavior. The conventional wisdom claims that Metrics, Logging and Tracing are “the three pillars” of observability… yet software organizations check these three boxes and are still grasping at straws during emergencies.
In this session, we’ll illustrate the problem with the three pillars: metrics, logs, and traces are just data – they are the fuel, not the car.
Insights Without Tradeoffs: Using Structured StreamingDatabricks
Apache Spark 2.0 introduced Structured Streaming which allows users to continually and incrementally update your view of the world as new data arrives while still using the same familiar Spark SQL abstractions. Michael Armbrust from Databricks talks about the progress made since the release of Spark 2.0 on robustness, latency, expressiveness and observability, using examples of production end-to-end continuous applications.
Speaker: Michael Armbrust
Video: http://go.databricks.com/videos/spark-summit-east-2017/using-structured-streaming-apache-spark
This talk was originally presented at Spark Summit East 2017.
At Spark Summit East in New York, we unveil PowerStream, an Internet of Things (IoT) simulation with visualizations and alerts based on real-time data from 2 million sensors across global wind farms.
Optimizing Oracle Databases & Applications Gives Fast Food Giant Major GainsDatavail
A leader in the fast-food industry began experiencing issues with database performance and financial close processes that were having major effects on the business. By implementing optimization techniques, re-architecting systems, migrating to the cloud, and properly distributing server load, this fast-food giant was able to:
Cut server lag from 24 hours to five minutes during even the most active periods
Decrease time to implement global changes to menus from one week to overnight
Speed their financial close time frame
Significantly reduce the frequency of crashes and downtime
And more!
Watch this webinar to learn HOW this was achieved with our 5S performance tuning methodology, so you can do the same in your own environment.
Insights Without Tradeoffs Using Structured Streaming keynote by Michael Armb...Spark Summit
In Spark 2.0, we introduced Structured Streaming, which allows users to continually and incrementally update your view of the world as new data arrives, while still using the same familiar Spark SQL abstractions. I talk about progress we’ve made since then on robustness, latency, expressiveness and observability, using examples of production end-to-end continuous applications.
The Plan Cache Whisperer - Performance Tuning SQL ServerJason Strate
Execution plans tell SQL Server how to execute queries. If you listen closely, execution plans can also tell you when performance-tuning opportunities exist in your environment. By listening to your queries, you can understand how SQL Server is operating and gain insight into how your environment is functioning. In this session, learn how to use XQuery to browse and search the plan cache, enabling you to find potential performance issues and opportunities to tune your queries. In addition, learn how a performance issue on a single execution plan can be used to find similar issues on other execution plans, enabling you to scale up your performance tuning effectiveness. You can use this information to help reduce issues related to parallelism, shift queries from using scans to using seek operations, or discover exactly which queries are using which indexes. All this and more is readily available through the plan cache.
Nesta sessão vamos analisar as características deste serviço fazer uma breve introdução à arquitectura que a suporta. Iremos verificar as considerações que devem ser tidas em conta na criação e utilização deste tipo de armazenamento, analisando o impacto que as decisões tomadas têm no que respeita a performance e objectivos de escalabilidade.
Serão ainda mostrados alguns exemplos de utilização em cenários distintos, incluindo algumas optimizações que se podem fazer para melhorar a performance.
Comunidade NetPonto, a comunidade .NET em Portugal!
http://netponto.org
An efficient data pre processing frame work for loan credibility prediction s...eSAT Journals
Abstract
In today's world data mining have increasingly become very interesting and popular in terms of all applications especially in the
banking industry. We have too much data and too much technology but don't have useful information. This is why we need data
mining process. The importance of data mining is increasing and studies have been done in many domains to solve tons of
problems using various data mining techniques. The art of preparing data for data mining is the most important and time
consuming phase. In developing countries like India, bankers should vigilant to fraudsters because they will create more problems
to the banking organization. Applying data mining techniques, it is very effective to build a successful predictive model that helps
the bankers to take the proper decision. This paper covers the set of techniques under the umbrella of data preprocessing based
on a case study of bank loan transaction data. The proposed model will help to distinguish borrowers who repay loans promptly
from those who do not. The frame work helps the organizations to implement better CRM by applying better prediction ability.
Keywords: Data preprocessing, Customer behavior, Input columns, Outlier columns, Target column, Dataset, CRM
Hadoop is gaining interest all over the world. To make yourself comfortable with this latest technology. Check this presentaon. It explains basics of Hadoop and working flow of cluster.
Distributed Management Console helps Splunk Admins deal with the monitoring and health of their Splunk deployment. In Splunk 6.3, we built views for Splunk Index and Volume Usage, Forwarder Monitoring, Search Head Cluster Monitoring, Index Cluster Monitoring, and tools for visualizing your Splunk Topology. Leverage Splunk DMC and come see the forest -and- the trees in your Splunk deployment!
The Google BigQuery Story: Optimizing 25PB StorageIvan Kosianenko
We want to share our story of migration of our storage in BigQuery to a new partitioning schema, what we’ve learned on the way and what we have achieved at the end.
Speaker - Derar Bakr, Senior Data Engineer @ AppsFlyer Data Group.
O'Reilly Media Webcast: Building Real-Time Data PipelinesSingleStore
As our customers tap into new sources of data or modify to existing data pipelines, we are often asked questions like: What technologies should we consider? Where can we reduce data latency? How can we simplify our data architecture?
To eliminate the guesswork, we teamed up with Ben Lorica, Chief Data Scientist at O’Reilly Media to host a webcast centered around building real-time data pipelines.
Our post recession economy is demanding better decision making in a more timely and effective manner. Business Intelligence (BI) software is the next tool you can't do without! From financial reporting to budgeting, company consolidation to sales analysis, we'll show you creative and powerful ways to utilize Sage's BI tools. If you're looking for a software package that is going to provide you the information you need, when you need it, in a format you can understand, then you simply must attend this session.
Data Con LA 2018 - Standing on shoulders of giants by Sooraj AkkammadamData Con LA
Standing on shoulder of giants building Core Digital Media's data platform using Big Data technologies by Sooraj Akkammadam, ETL Architect, Core Digital Media
Core Digital Media is one of the leading advertisers in the online space. We are responsible for about a fifth of the ads a person sees online on a day to day basis. This is accomplished by our Marketing team, who continues to find performance wins by leveraging proprietary algorithms, deep learning models and advanced analytics to optimize the Ad spend. All these frameworks rely on the performance data available in the Core Digital Media’s Enterprise Data Warehouse - EDW to make decisions. The performance data is collected from a multitude of marketing channels like Social - Facebook, Search - Google, Content - Taboola, Media, Affiliate and Retention and integrated into EDW. Timely and consistent availability of data in EDW is extremely critical for marketing optimization. This talk details how we migrated our Marketing data loads from a legacy ETL platform to a data infrastructure built around Apache Kafka and Apache Spark, using Python and Scala. This migration not only lead to a reduction in data availability times from an average of 60+ minutes to 2 mins but also we are able to load 24*7 into the EDW. As a part of the talk we will talk about why we chose Kafka and Spark Structured streaming for this, what were some of the challenges we faced and also some of the best practices to follow for implementing data streaming architectures.
Three Pillars, Zero Answers: Rethinking ObservabilityDevOps.com
Observability has never been more important: the complexity of microservices makes it harder and harder to answer basic questions about system behavior. The conventional wisdom claims that Metrics, Logging and Tracing are “the three pillars” of observability… yet software organizations check these three boxes and are still grasping at straws during emergencies.
In this session, we’ll illustrate the problem with the three pillars: metrics, logs, and traces are just data – they are the fuel, not the car.
Insights Without Tradeoffs: Using Structured StreamingDatabricks
Apache Spark 2.0 introduced Structured Streaming which allows users to continually and incrementally update your view of the world as new data arrives while still using the same familiar Spark SQL abstractions. Michael Armbrust from Databricks talks about the progress made since the release of Spark 2.0 on robustness, latency, expressiveness and observability, using examples of production end-to-end continuous applications.
Speaker: Michael Armbrust
Video: http://go.databricks.com/videos/spark-summit-east-2017/using-structured-streaming-apache-spark
This talk was originally presented at Spark Summit East 2017.
At Spark Summit East in New York, we unveil PowerStream, an Internet of Things (IoT) simulation with visualizations and alerts based on real-time data from 2 million sensors across global wind farms.
Optimizing Oracle Databases & Applications Gives Fast Food Giant Major GainsDatavail
A leader in the fast-food industry began experiencing issues with database performance and financial close processes that were having major effects on the business. By implementing optimization techniques, re-architecting systems, migrating to the cloud, and properly distributing server load, this fast-food giant was able to:
Cut server lag from 24 hours to five minutes during even the most active periods
Decrease time to implement global changes to menus from one week to overnight
Speed their financial close time frame
Significantly reduce the frequency of crashes and downtime
And more!
Watch this webinar to learn HOW this was achieved with our 5S performance tuning methodology, so you can do the same in your own environment.
Insights Without Tradeoffs Using Structured Streaming keynote by Michael Armb...Spark Summit
In Spark 2.0, we introduced Structured Streaming, which allows users to continually and incrementally update your view of the world as new data arrives, while still using the same familiar Spark SQL abstractions. I talk about progress we’ve made since then on robustness, latency, expressiveness and observability, using examples of production end-to-end continuous applications.
The Plan Cache Whisperer - Performance Tuning SQL ServerJason Strate
Execution plans tell SQL Server how to execute queries. If you listen closely, execution plans can also tell you when performance-tuning opportunities exist in your environment. By listening to your queries, you can understand how SQL Server is operating and gain insight into how your environment is functioning. In this session, learn how to use XQuery to browse and search the plan cache, enabling you to find potential performance issues and opportunities to tune your queries. In addition, learn how a performance issue on a single execution plan can be used to find similar issues on other execution plans, enabling you to scale up your performance tuning effectiveness. You can use this information to help reduce issues related to parallelism, shift queries from using scans to using seek operations, or discover exactly which queries are using which indexes. All this and more is readily available through the plan cache.
Nesta sessão vamos analisar as características deste serviço fazer uma breve introdução à arquitectura que a suporta. Iremos verificar as considerações que devem ser tidas em conta na criação e utilização deste tipo de armazenamento, analisando o impacto que as decisões tomadas têm no que respeita a performance e objectivos de escalabilidade.
Serão ainda mostrados alguns exemplos de utilização em cenários distintos, incluindo algumas optimizações que se podem fazer para melhorar a performance.
Comunidade NetPonto, a comunidade .NET em Portugal!
http://netponto.org
An efficient data pre processing frame work for loan credibility prediction s...eSAT Journals
Abstract
In today's world data mining have increasingly become very interesting and popular in terms of all applications especially in the
banking industry. We have too much data and too much technology but don't have useful information. This is why we need data
mining process. The importance of data mining is increasing and studies have been done in many domains to solve tons of
problems using various data mining techniques. The art of preparing data for data mining is the most important and time
consuming phase. In developing countries like India, bankers should vigilant to fraudsters because they will create more problems
to the banking organization. Applying data mining techniques, it is very effective to build a successful predictive model that helps
the bankers to take the proper decision. This paper covers the set of techniques under the umbrella of data preprocessing based
on a case study of bank loan transaction data. The proposed model will help to distinguish borrowers who repay loans promptly
from those who do not. The frame work helps the organizations to implement better CRM by applying better prediction ability.
Keywords: Data preprocessing, Customer behavior, Input columns, Outlier columns, Target column, Dataset, CRM
Hadoop is gaining interest all over the world. To make yourself comfortable with this latest technology. Check this presentaon. It explains basics of Hadoop and working flow of cluster.
Emerging technologies /frameworks in Big DataRahul Jain
A short overview presentation on Emerging technologies /frameworks in Big Data covering Apache Parquet, Apache Flink, Apache Drill with basic concepts of Columnar Storage and Dremel.
Lambda Architecture with Spark, Spark Streaming, Kafka, Cassandra, Akka and S...Helena Edelson
Regardless of the meaning we are searching for over our vast amounts of data, whether we are in science, finance, technology, energy, health care…, we all share the same problems that must be solved: How do we achieve that? What technologies best support the requirements? This talk is about how to leverage fast access to historical data with real time streaming data for predictive modeling for lambda architecture with Spark Streaming, Kafka, Cassandra, Akka and Scala. Efficient Stream Computation, Composable Data Pipelines, Data Locality, Cassandra data model and low latency, Kafka producers and HTTP endpoints as akka actors...
De nouvelles générations de technologies de bases de données permettent aux organisations de créer des applications jusque-là inédites, à une vitesse et une échelle inimaginables auparavant. MongoDB est la base de données qui connaît la croissance la plus rapide au monde. La nouvelle version 3.2 offre les avantages des architectures de bases de données modernes à une gamme toujours plus large d'applications et d'utilisateurs.
MongoDB 3.2 introduces a host of new features and benefits, including encryption at rest, document validation, MongoDB Compass, numerous improvements to queries and the aggregation framework, and more. To take advantage of these features, your team needs an upgrade plan.
In this session, we’ll walk you through how to build an upgrade plan. We’ll show you how to validate your existing deployment, build a test environment with a representative workload, and detail how to carry out the upgrade. By the end, you should be prepared to start developing an upgrade plan for your deployment.
SQL Shot is a unique highly graphic oriented performance and tuning for Microsoft SQL Server, Sybase ASE and Oracle Database isolating any performance issue in seconds.
MongoDB es la base de datos con más rápido crecimiento del mundo La nueva versión 3.2 extiende los beneficios de las modernas arquitecturas de bases de datos a una gama aun más amplia de aplicaciones y usuarios.
En esta grabación del seminario web presentamos todas las novedades, que incluyen:
● Nuevos motores de almacenamiento conectables.
● Una visión empresarial más rápida con búsquedas y análisis mejorados en tiempo real, combinada con una conectividad fluida a herramientas de BI estándar.
● Gestión de datos simplificado con validación de documentos, junto a una detección y visualización de esquema basadas en una interfaz gráfica.
Mayor eficacia operativa con plataformas de gestión mejoradas, disponibilidad continua en implementaciones multirregionales y distribuidas, y actualizaciones con inactividad cero.
This presentation contains a preview of MongoDB 3.2 upcoming release where we explore the new storage engines, aggregation framework enhancements and utility features like document validation and partial indexes.
SQL Server is really the brain of SharePoint. The default settings of SQL server are not optimised for SharePoint. In this session, Serge Luca (SharePoint MVP) and Isabelle Van Campenhoudt (SQL Server MVP) will give you an overview of what every SQL Server DBA needs to know regarding configuring, monitoring and setting up SQL Server for SharePoint 2013. After a quick description of the SharePoint architecture (site, site collections,…), we will describe the different types of SharePoint databases and their specific configuration settings. Some do’s and don’ts specific to SharePoint and also the disaster recovery options for SharePoint, including (but not only) SQL Server Always On Availability, groups for High availability and disaster recovery in order to achieve an optimal level of business continuity.
Benefits of Attending this Session:
Tips & tricks
Lessons learned from the field
Super return on Investment
SQL Bits 2018 | Best practices for Power BI on implementation and monitoring Bent Nissen Pedersen
This session is intended to do a deep dive into the Power BI Service and infrastructure to ensure that you are able to monitor your solution before it starts performing or when your users are already complaining.As part of the session i will give advise you on how to address the main pains causing slow performance by answering the following questions:
* What are the components of the Power BI Service?
- DirectQuery
- Live connection
- Import
* How do you identify a bottleneck?
* What should i do to fix performance?
* Monitoring
- What parts to monitor and why?
* What are the report developers doing wrong?
- how do i monitor the different parts?
* Overview of best practices and considerations for implementations
In-Memory Storage Engine (beta)
WiredTiger as the default storage engine
Advanced security (encryption at rest)
Document Validation
Advanced full text
Dynamic Lookups
BI Connector (Tableau, Qlikview, Cognos, BusinessObjects, etc...)
Database GUI with MongoDB Compass
And more...
GOTO Aarhus 2014: Making Enterprise Data Available in Real Time with elastics...Yann Cluchey
My talk from GOTO Aarhus, 30th September 2014. Cogenta is a retail intelligence company which tracks ecommerce web sites around the world to provide competitive monitoring and analysis services to retailers. Using its proprietary crawler technology, Lucene and SQL Server, a stream of 20 million raw product data entries is captured and processed each day. This case study looks at how Cogenta uses Elasticsearch to break the shackles imposed by the RDBMS (and a limited budget) to make the data available in real time to its customers.
Cogenta uses SQL as its canonical store & for complex reporting, and Elasticsearch for real-time processing & to drive its SaaS web applications. Elasticsearch is easy to use, delivers the powerful features of Lucene and enables the data & platform cost to scale linearly. But… synchronising your existing data in two places presents some interesting challenges such as aggregation and concurrency control. This talk will take a detailed look at how Cogenta how overcame those challenges, with a perpetually changing and asynchronously updated dataset.
http://gotocon.com/aarhus-2014/presentation/Cogenta%20-%20Making%20Enterprise%20Data%20Available%20in%20Real%20Time%20with%20Elasticsearch
The retail industry is at the forefront of the Big Data revolution, with every point-of-sale transaction, website click, or social media post potentially revealing an insight into the customer’s preferences and buying behaviour. The capability to harness this information effectively to provide optimal pricing and enhanced customer experience can be a game-changer for retailers.
MAIA Intelligence was invited to give a technical session on MS-SQL at Microsoft Dreamspark Yatra 2012 event in which around 300 budding techies learnt about the emerging technologies
MAIA Intelligence profiled on DQ Channel TreeDhiren Gala
MAIA Intelligence: Adding Social Media Benefits
While the concept and activity of partner-to-partner networking, reselling vendor products and adding services are not new; the evolution of social media technology has created new platforms and opportunities
- Hiten Rathod, Head - Strategic Alliances & Channels
Original article published in Cybermedia's DQ Channel, December 2011
postXBRL is an XBRL reporting offering from MAIA Intelligence available on both SaaS and On-Premise model. This presentation gives an glimpse of product on both models.
Sanjay Mehta, CEO of MAIA Intelligence, highlights
the barriers preventing IT managers from adopting business intelligence, while delving into its innovations and capabilities.
This is an excerpts from an interview taken by N. Geetha, Executive Editor, ITNext and published in October 2011 issue by 9Dot9 Media.
Compliance to Compete -
XBRL (eXtensible Business Reporting Language) & Analytics
Recent MCA (Ministry of Corporate Affairs) mandate for certain class of companies to file their balance sheet and profit & loss statements in XBRL format has now made it necessary for the corporates to understand the XBRL and its advantages and the process of converting their financial statements in the required format.
XBRL stands for eXtensible Business Reporting Language - an language for the electronic communication of business and financial data which provides major benefits in the preparation, analysis and communication of business information and offers cost savings, greater efficiency and improved accuracy and reliability to all those involved in supplying or using financial data; now being put to practical use in a number of countries including India
XBRL stands for eXtensible Business Reporting Language. It is one of a family of "XML" languages which is becoming a standard means of communicating information between businesses and on the internet.
eXtensible Business Reporting Language (XBRL) is an extended XML, a tagged data (meta-data) which is machine readable and a standard way to communicate business & financial info.
This presentation introduces XBRL & MAIA Intelligence's postXBRL solution with BI for financial reporting.
For the last 20 years, organisations have invested into transformation of the entire financial consolidation process from ERP accounting systems to financial consolidation software in order to improve the way of tackling the challenge of Financial Close & Balance Sheet Consolidation with modern software solutions. Despite these
investments, more than 90 per cent of organisations still rely on spreadsheets to gather information from disparate financial systems and perform variance analysis on financial statements, compiling information from multiple sources. The requirement for transparency in financial statements is non-negotiable, and this starts with the financial close and reporting process. Financial consolidation software solutions have certainly
improved the process, driving organisations towards a more consistent chart of accounts, and supporting the period end processes, such as allocations and inter-company eliminations. However, when looking at the actual activities that finance employees perform each month, it is clear that there are still significant gaps. This article provides a realistic view of the use of technology to improve the financial close and reporting process
and achieve increased quality, accountability, auditability, efficiency and ultimately, regulatory compliance.
Sanjay Mehta, CEO, MAIA Intelligence Pvt. Ltd. authored this article for The Chartered Accountant (CA) Journal, March 2011.
Experiments with Social Media & NetworkingDhiren Gala
Mr. Sanjay Mehta, CEO, MAIA Intelligence was invited for speaking at the Computer Society of India, Nashik Chapter's FutureNet - The Future of Internet conference on February 6, 2011.
Sanjay shares his experience on experimenting with the social media and how social networking helped him leverage the MAIA 1KEY & personal brand.
Best Deployment: Raymond opts for 1KEY FCM - Financial ConsolidationDhiren Gala
The Perfect man becomes more intelligent
Mumbai-based Raymond needed a solution which could satisfy the functionality and ability to get all financial data on a single platform. MAIA Intelligence along with Mondial IT Consultants helped meet their expectations.
Minakshi Shetty of DQ Channels (Cybermedia) speaks to Sanjay Mehta, CEO, MAIA Intelligence, Vivek Kale, CIO, Raymond Limited and Sharad Kumar Agarwal, Director, Mondial IT Consultants
The spurt in logistics management organisations is affecting the bottom line of companies. In order to have a competitive edge over others, many logistics service providers are adopting business intelligence (BI) to improve their performance and meet the needs of their growing client base.
An article by Dhiren Gala in Smart Logistics, December 2010 issue.
Business Intelligence (BI) in Pharmaceuticals - An aid in informed decision making
Currently, the demand for BI solutions is largely driven by MNCs & large enterprises. BI solutions seem to have gained more acceptance and significance in pharma industry where time plays a pivotal role in the future of the company. The article from Modern Pharmaceuticals, reviews the importance of BI solutions to the
Indian pharma industry.
- Sanjay Mehta, CEO, MAIA Intelligence Pvt. Ltd.
Business Intelligence addresses the challenges
faced by ports and terminals by providing comprehensive solutions for real-time planning,
management and control of operations.
Confluent - Monthly magazine by Symbiosis Centre for IT - September 2010Dhiren Gala
What the next generation will expect of BI applications? How generational shift will drive changes in BI tools and technology? How the roles of BI professionals will be transformed? How the uses of BI systems will grow and change?
Data Visualization with Dashboard & KPI
India's first Business Intelligence (BI)Dhiren Gala
India's first Business Intelligence (BI) Reporting Analytics Software for MIS, KPI, Dashboard.
1KEY Dashboard and 1KEY KPI are some of the many modules of 1KEY Business Intelligence (BI) Reporting Analytics Software which connects to multiple applications, multiple database to give a comprehensive data analysis, data mining, and multi-dimensional visual reporting solution, able to slice and dice information efficiently providing an extremely intuitive experience. 1KEY BI is powerful enough & conceived to help the business user to understand their data, to compare and contrast scenarios, and to deliver this information inside and outside of their organization which helps make informed decisions at all levels in an organization.
Business Intelligence (BI) for ManufacturingDhiren Gala
Business Intelligence (BI) for Manufacturing - Plastics are no different
BI is very effective for all types of manufacturing, be it process, discrete or automatic. BI can close the ‘fact gap’ by improving the availability and delivery of actionable data with minimal IT
involvement.
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Memorandum Of Association Constitution of Company.pptseri bangash
www.seribangash.com
A Memorandum of Association (MOA) is a legal document that outlines the fundamental principles and objectives upon which a company operates. It serves as the company's charter or constitution and defines the scope of its activities. Here's a detailed note on the MOA:
Contents of Memorandum of Association:
Name Clause: This clause states the name of the company, which should end with words like "Limited" or "Ltd." for a public limited company and "Private Limited" or "Pvt. Ltd." for a private limited company.
https://seribangash.com/article-of-association-is-legal-doc-of-company/
Registered Office Clause: It specifies the location where the company's registered office is situated. This office is where all official communications and notices are sent.
Objective Clause: This clause delineates the main objectives for which the company is formed. It's important to define these objectives clearly, as the company cannot undertake activities beyond those mentioned in this clause.
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Liability Clause: It outlines the extent of liability of the company's members. In the case of companies limited by shares, the liability of members is limited to the amount unpaid on their shares. For companies limited by guarantee, members' liability is limited to the amount they undertake to contribute if the company is wound up.
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Capital Clause: This clause specifies the authorized capital of the company, i.e., the maximum amount of share capital the company is authorized to issue. It also mentions the division of this capital into shares and their respective nominal value.
Association Clause: It simply states that the subscribers wish to form a company and agree to become members of it, in accordance with the terms of the MOA.
Importance of Memorandum of Association:
Legal Requirement: The MOA is a legal requirement for the formation of a company. It must be filed with the Registrar of Companies during the incorporation process.
Constitutional Document: It serves as the company's constitutional document, defining its scope, powers, and limitations.
Protection of Members: It protects the interests of the company's members by clearly defining the objectives and limiting their liability.
External Communication: It provides clarity to external parties, such as investors, creditors, and regulatory authorities, regarding the company's objectives and powers.
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Binding Authority: The company and its members are bound by the provisions of the MOA. Any action taken beyond its scope may be considered ultra vires (beyond the powers) of the company and therefore void.
Amendment of MOA:
While the MOA lays down the company's fundamental principles, it is not entirely immutable. It can be amended, but only under specific circumstances and in compliance with legal procedures. Amendments typically require shareholder
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