Business Value around Big Data Context
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This document discusses the challenge of providing business context around big data analytics. It notes that while deep insights are possible, frontline managers often cannot relate analyses back to the original data or business decisions. It proposes an approach using "SMART DATA" that allows managers to explore business data intuitively based on their own knowledge and drill down across different datasets to understand the context. The goal is to enable real-time business decisions by giving managers self-service analytics tools built on artificial intelligence that integrate with any data source and provide the business context around data insights.
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We had an in-depth discussion about the innovations built into the latest stack of Microsoft Business Intelligence, and practical tips from Technology Specialist’s from Microsoft.
The session also featured demos to help you see the technology as an end-to-end solution.
For more information, visit www.casertaconcepts.com
MDM & BI Strategy For Large Enterprises
This is a slide deck that was assembled as a result of months of Project work at a Global Multinational. Collaboration with some incredibly smart people resulted in content that I wish I had come across prior to having to have assembled this.
"How To Build and Lead a Winning Data Team" by Cahyo Listyanto (Bizzy.co.id)
Cahyo is a data geek, gamer and comic nerd.
Excel and Database are his favorite since his middle school.
Having graduated from a Vocational High School of Informatics and Technology
made him able to start his career early and led many DWH BI projects at his early 20.
He currently leading a data team in bizzy.co.id as the Head of Data Analytics.
Previously he worked for Microsoft Indonesia as Data Platform Technology Specialist where he provides strategic technical leadership supporting Microsoft customers and partners to adopt, deploy, and support solutions based on SQL Server and Data Platform related technologies.
***
This slide was shared at Tech in Asia Product Development Conference 2017 (PDC'17) on 9-10 August 2017.
Get more insightful updates from TIA by subscribing techin.asia/updateselalu
InfoVision_PM101_RPadaki
This document provides product management tips for business intelligence platforms and applications. It discusses measuring success through the value analytics provides to business, considering the data pyramid from raw data to reports to analytics. Ten tips are provided for creating a successful BI product, including planning for data early, understanding user needs, prioritizing user stories, embracing design principles, and validating frequently with users. The tips are grouped by product phases like discovery, planning, and definition.
Business Analytics Training
IBM offers a business analytics portfolio including Cognos BI, Cognos TM1, and SPSS to provide capabilities across reporting, planning, analysis, and predictive analytics. The suite integrates various data sources and allows different levels of analytics from basic reporting and dashboards to more advanced predictive modeling and optimization. It provides a unified workspace and promotes collaboration.
e-Zest BI services
Organizations that utilize business analytics outperform their competitors. e-Zest is a business intelligence firm that has been in business since 2000, with over 250 software professionals and a repeat business ratio of 65%. They offer various business intelligence services including mobile BI, big data analytics, consulting, and data warehousing. Their goal is to achieve sustainable growth and be recognized as a top IT company and great place to work in India.
The Persona-Based Value of Modern Data Governance
Yes, data governance solutions are now a business imperative. But modern demands are requiring integrated capabilities to discover, understand, profile, and measure data integrity across many different functions across your organization.
This presentation shares four persona-based use cases & demos to illustrate how a single modular, and interoperable solution can optimize collaboration and empower your data teams to deliver data-driven decisions faster and more confidently.
Are you ready for the future of data governance? Check out what will be required:
• Understand data relationships to business objectives, metrics, and request new actions
• Discover new data element alerts to profile and add contextual details to your analysis
• Review needed data quality rules, lineage, and impact and proactively
monitor data changes over time.
• Access & respond to data replication request for more timely results
• Create data quality pipelines and enrich data for more insightful analytics
Business Centric Data Modeling
Business-centric data models are key to gaining a clear view of the data that drives the business – from customers to products to invoices and more. They offer a clear, visual way for both business and technical stakeholders to communicate around the crucial business rules and definitions that drive both operational usage of data as well as analytics and reporting. This webinar will provide practical, concrete steps in creating valuable, business-centric data models that can show immediate value to the organization, while at the same time building towards a full-enterprise view.
Process mining: The role of Data in Business Processes
The evolution both in the area of Process Management and Analytics has created an environment of abundant information that is easily generated and intuitively consumed. This trend allows a more dynamic, proactive and fast adaptation to the existing demands -or even undiscovered- of the market. It also requires that non-programmer executives get even closer to the field of Data Science.
Technology leaders like us, support their users along their path of effectively making use of Data Science.
With components such as BICI - Bonita Intelligent Continuous Improvement, Bonitasoft provides intuitive tools for analysts to carry out Process and Data Mining studies and launch actions, seeking the continuous optimization of processes within the BPMS platform.
Kay Winkler, Director and Partner of NSI, and Delphine Coille, Evangelist and Community Manager at Bonitasoft, show a practical example of Process Mining in action.
Look for more information about Process Mining: https://www.bonitasoft.com/bonita-intelligent-continuous-improvement
Modern Analytics with Microsoft PowerBI
Create a single source of truth
The starting point for building a data-driven culture is establishing a single source of truth. We make this easy with Power BI, a modern BI cloud service that connects to all of your data, wherever it lives, in the cloud or on premises, Microsoft or non-Microsoft. It delivers insights to you in any way, anywhere, from mobile to web, as well as embedded in apps, both first party and third party. Office 365 further extends this with versions that allow you to quickly look at differences, auditing and roll back, allowing you to confidently manage the single version of truth.
Analyze & visualize data
The next step is to make it easy to analyze and explore data, then share it out seamlessly. Here we deliver the industry leading analyst tool with Excel, which allows you to ask questions at the pace of your business transformation, in a tool you use daily. Sometimes it's easier for us to spot trends and outliers when data is presented visually. Power BI makes visualization simple and easy. Sometimes we want both. Power BI integrates natively with Excel, so users can easily dive deeper into visualizations from Excel and vice-versa. Together with Visio, you can visualize complex process flows directly into Power BI.
Run your business in real time with live dashboards
All of the visualizations and dashboards you create in Power BI, Excel, and Visio can be programmed to update in real-time, so that you can react to opportunities and threats as soon as they appear.
Put insights at the center of teamwork
Lastly, with the growing importance of teamwork in the modern workplace it’s critical that teams can collaborate on data in real-time. Power BI and Excel both integrate natively with Teams and Office 365, making it easier to create consensus based on data.
Conclusion
All of these capabilities add up to better, faster decision-making – a 2017 study by Forrester found that with Microsoft 365 E5 employees make decisions in 18% less time – think about how much faster your business could move with decisions made in hours or days rather than weeks.
Enterprise Data Architect Job Description
The document discusses the responsibilities of an Enterprise Data Architect, including defining vision/strategy for data management, standards, governance, modeling, and more. It lists key tasks like implementing data strategies/roadmaps, models, and governance frameworks. The architect must understand how data is used and mitigate risks. Relevant domains include data strategy/governance, modeling, store definition, analysis, and content management. The architect must also track emerging solutions/topics and possess skills like strategy analysis, communication, and leadership.
Power BI overview.pptx
Power BI provides self-service business intelligence and analytics capabilities powered by artificial intelligence. It unifies self-service and enterprise BI by bringing together data from various sources and allowing users at all levels of an organization to access and analyze information. Power BI also leverages Azure services for advanced analytics capabilities like big data processing, machine learning and artificial intelligence. This enables organizations to gain deeper insights from their data at scale.
Business intelligence for manufacturing
Business Intelligence (BI) solutions can help manufacturing business users to analyse cost factors and make appropriate decisions for acquisition of raw material and sold goods.
ReImagine BI – ElegantJ BI
This document introduces an analytics platform that:
1. Provides self-serve BI, cloud BI, mobile BI, and social BI capabilities.
2. Claims to be a horizontal BI framework that can be used to build vertical BI and analytics solutions with no technical skills required.
3. Aims to empower business users by allowing them to create their own analytics prototypes and gain independence and intelligence through deep-dive analytics.
Business Intelligence: Leveraging SharePoint to drive business results
This document discusses leveraging SharePoint to drive business intelligence and results. It provides an overview of business intelligence concepts like data warehousing and online analytical processing. It describes how SharePoint can bring together various BI tools like Excel, PowerPivot, PerformancePoint and SQL Server Reporting Services. Specific capabilities of tools within the SharePoint BI platform like Power View and its architecture are outlined. Examples are given of how these tools can be used to build dashboards and reports for interactive data exploration and sharing insights.
5 Critical Success Factors for Embedded Analytics
The document discusses embedded analytics and five critical success factors for embedded analytics projects. It provides an overview of embedded analytics compared to traditional BI, discusses how embedded analytics can help overcome barriers to analytics adoption, and outlines use cases. It then details five critical success factors for embedded analytics: 1) tying analytics to strategic goals and planning, 2) focusing on information visibility, 3) ensuring better data access, 4) providing real-time value, and 5) maintaining constant visibility. The presentation concludes with a discussion of Information Builders' approach to embedded analytics.
AI Strategy & Advance Analytics
The company aims to provide world-class AI consulting services through end-to-end digital transformation solutions. Their approach is to provide clients a competitive edge through clarifying AI strategy, evaluating the industry landscape, and delivering AI strategy and data science solutions that drive business value. Their services include AI readiness assessments, business model evaluations, feasibility studies, and integration strategies to help clients successfully adopt AI. They also offer data science solutions like data preparation, machine learning modeling, and data visualization to solve business problems.
Five Critical Success Factors for Embedded Analytics
The document discusses five critical success factors for embedded analytics: 1) Tying embedded analytics to strategic business goals and planning, 2) Focusing on information visibility across the organization, 3) Ensuring better data access, 4) Providing real-time value, and 5) Ensuring constant visibility. It provides details on each success factor and examples of how embedded analytics can help achieve them. The document is presented as a slide deck for a presentation on embedded analytics.
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Business Value around Big Data Context
- 1. Business Value Around (BIG)Data Context
- 2. Available Big Data and Missing Context in Analysis Pic Source: Google
- 3. The challenge? • Deep insights needs special BI efforts • Frontline managers cannot relate insight to source data. • BI tools expect users to have specialist IT knowledge. • Without BI process there is limited or no insight. • Data to Insight given by IT/Management…
- 4. Possibility • Explore business data based on frontline manager’s intuition • Drill down and relate to different data sets. • Get to the context with SMART DATA – natural attributes and meaning of the data • Ultimate goal is to drive business decisions faster in real-time
- 5. View at Data
- 6. View at Data
- 7. Enabling frontline managers to arrive at Context
- 8. Transcript
- 9. • Semantics based Narrative Analytics • Browser based UI – get the context in real time • Self Service and domain independent • Work like data expert – access data with Point and Click • BI Tool built on AI - leverages Semantic Graph Technology • Integrate with any data source – no limitations to data warehouses • Secured Amazon cloud based service, also with on premise offering Connect Art of Business with Science of Data
- 10. Thank you!! Hiddime.com - Lead Semantics Company info@leadsemantics.com Himadeep Madipadiga himadeep@leadsemantics.com +91 916.0916.303