- FACTiS BI
- Automobiles
- Banking, Financial Services & Insurance (BFSI)
- Business Process Outsourcing (BPO) & KPO
- Cement and Concrete Products
- Ceramic & Sanitary ware
- Chemical
- Construction & Real Estate
- E-Commerce
- Engineering
- Equity, Commodity and Currency Brokerage
- FMCG
- Government & Public Sector
- Healthcare & Life Science
- Higher Education & Secondary Education
- Hospitality,QSR & Travel
- Logistics and Supply Chain Management
- Media Print & Electronics
- Oil,Gas & Power Energy
- Pharmaceutical
- Port
- Retail
- Secondary Sales-Pharma, Ceramic, FMCG, Retail
- Shipping
- Telecommunication
- Textile & Merchandise
- Utility
- Dashboard & Scorecard
- Self - Service BI
- Enterprise Intelligence Analytical Report
- Ad-Hoc Reporting
- What - If Analysis
- Alerting & Forecasting
- Publishing,Scheduling & Dynamic Recipient
- Content Management
- BI Portal
- Multiple Data Source and Data Connectivity
- Linear and Cross Functional KPIs
- Mobile BI (Mobility)
- Predictive Analytics
The world of data is presenting enormous challenges – from the amount of data being produced to the way in which it’s structured and used. Big Data is the ocean of information we swim in every day – vast zetta bytes of data flowing from our computers, mobile devices, machine sensors and personal electronics gadgets. With the right solutions, organizations can dive into all that data and gain valuable insights that were previously unimaginable.
Companies are now capturing trillions of bytes of information about their customers, suppliers, and operations. The sheer magnitude of the numbers around big data is astounding. To stay relevant and competitive, organizations need to start leveraging the transformational power of data to anticipate market demands, predict business outcomes before opportunities are missed and respond to events in real time. Discover how Big Data technologies and analysis tools can transform your business today.
Euthenics IT Extract the maximum value from your Big Data and business analytics – faster than you thought possible. SAP’s Big Data services and consulting experts can help you transform your IT infrastructure and implement Big Data technologies that let you capture, store, and leverage data-driven insights in real time.
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Healthcare:
The average amount of data per hospital will increase form 167TB to 665TB in 2015, driven by the enormous growth of medical images and electronic medical recodes.
With Big Data Medical professional can improve patient care and reduce costs by extracting relevant clinical information from vast amounts of data to better understand the past and predict future outcomes. |
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Customer Services:
Today, 86% of consumers quit doing business with a company because of a bad customer experience. Up from 59% four years ago.
With Big Data Services representatives can use data to gain a more holistic view of their customers, understanding their likes and dislikes in real-time in order to resolve a problem or capitalize on happy clients faster. |
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Insurance:
Insurance Companies and government agencies each gather fraud data related to their own individual missions. But the kind, quality and volume of data compiled varies widely.
With Big Data An insurance or citizen services provider can apply advanced analytics to data and detect fraud quickly. Before funds are paid out. |
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Financial Services:
Wall Street alone delivers 5 new research documents every minute. Business Market publishes upwards of 19,000 news items per day.
With Big Data Financial services professionals can better understand market changes through improved business insight from data, helping to anticipate performance gaps and more accurately assess investment alternatives. |
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Retail:
$150 Billion in total sales are missed each year because retails don’t have the right products in stock to meet customer demand.
With Big Data Retails can better understand their customer by analyzing sales trend and incorporating more accurate forecasting, ultimately increasing customer loyalty and revenue. |
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Communications:
5 Billion Global subscribers in the telecom industry are demanding unique and personalized offerings that match their individual lifestyles.
With Big Data Communications providers can use data to create a more personalized customer experience and avoid losing customers to competitors. |
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Automotive:
The automotive industry is projected to be the 2nd largest generator of data by 2015, stressing existing warehouse infrastructures well beyond their intended capacity. Dramatic shifts in the way customers view the driving experience are changing the way automakers interact with customers and require new approaches to maximize profitability and revenue.
With Big Data Big data presents a huge, new opportunity for automotive companies to meet the demands of their more demanding, educated customers – if they can harness it. Improved call center, dealer service performance and rapidly launch increasingly sustainable, connected vehicles. |
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Banking:
Fighting fraud, financial crimes and security breaches, in all forms, is among the most costly challenges facing the finance industry. As quickly as new technology is used to identify fraudsters, they themselves are identifying new ways of defrauding financial institutions
With Big Data Big data and analytics capabilities provides banks the ability to understand their clients at a more granular level and more quickly deliver targeted personalized offers. This enables higher offer and cross sell acceptance rates that improve customer profitability, satisfaction and retention. Also reduced costs of fraud screening and monitoring, fewer false positives, reduced cost of fraud investigations, reduced payment fraud losses and Real time fraud detection and mitigation. |
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Oil & Gas:
Oil and gas industry, organizations must apply new technologies and processes that will capture and transform raw data into actionable insight to improve asset value and yield while enhancing safety and protecting the environment.
With Big Data Big Data for oil and gas companies expand to include multiple geographic markets; they must find new ways to optimize an international supply chain, efficiently allocating resources and personnel across the globe. Optimizing operations is essential for managing risk and achieving regulatory compliance without raising the costs of compliance. |
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Travel & Transportation:
Many travel and transportation organizations lack visibility into asset health, incur high costs from unscheduled maintenance and are unable to determine root cause of failures. As fares and rates are published daily, time is of the essence. There is a clear need for more automation to quickly and thoroughly research and analyze all the data in order to optimize fare pricing strategies.
With Big Data Big data and analytics will fundamentally change manual fare analysis to smarter, automated fares by applying analytics to hundreds of millions of published fares and rapidly analyzing hundreds of terabytes of historical domestic and international fares, competitor behavior, seasonality data and overall market opportunity data. Reduced equipment downtime and outages and Improved yield management through automated inventory control and fare rules. |
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Energy and Utility:
Like most other businesses in most other industries, companies in the energy business are turning to big data to find ways to increase customer satisfaction improve energy production reliability and efficiency, plan for future demands, and lead energy and water conservation initiatives.
With Big Data Big data is a critical element to solving key business problems for utility companies. It can turn the information from smart meter and smart grid projects into meaningful operational insights and insights about their customer’s behavior. |
- Reduce data latency: Access data with or without moving it depending on business needs
- Increase data processing speed: Combine instant results with infinite storage with the in-memory processing and Apache Hadoop.
- Balance speed and storage costs: Manage large data sets across dynamic tiers (in-memory, EDW, distributed file system)
- Improve business reporting: Analyze transactional and analytical views in-memory for real-time results
- Improve decision support: Process text, predictive algorithms, and spatial data to gain new insight
- Improve operational intelligence: Analyze data from machines, streaming events, and business operations for immediate insight and action
- Revolutionize business: Develop new applications that sense and respond or predict future outcomes to compete effectively
- Improve productivity: Create applications with compelling UI that leverage Big Data and IoT
- Deploy quickly: Rapidly develop and deploy new solutions that users will love
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