Call Us: +90 216 518 44 40
Follow Us:

Bankıng

Examples of use cases:

  • Big Data & Analytics
  • Business Intelligence
  • Budgeting Planning Forecasting
  • Dynamic Target & Incentive Planning
  • Omni Channel Campaign Management
  • Customer Experience Management
  • Talent Management & Learning Management Solutions
  • Payment Systems

Segment your customers with ease

Understanding which customer segments drive the most revenue and profits is fundamental to your business success and future strategy. But getting this insight requires slicing your customer data in many different ways to get to the true trends hiding beneath the surface.

Effectively manage loan default risk

Loan default is one of the biggest risks for any loan provider. Those who excel at managing these risks have a strong advantage in the marketplace.

Evaluate credit card usage and trends

Often, banks will have hundreds of different customer profiles and dozens of products across their credit portfolio. In order to keep losses to a minimum, their bank business intelligence needs to tell them what is happening in their portfolio at all times.

Create dynamic, transparent and centralized reports

In most cases, a major goal for bank business intelligence is to keep a steady eye on exactly what is happening at every level of the business. This is true for those who work both at the corporate level and the branch level – simple transparency allows you to see areas for improvement more clearly.


  • Fraud Detection
  • Varietye
  • Point of Sale, Geo-location, Authorization, Transaction data

Volume & Velocity

7.5B transactions per month

Credit card fraud has changed. Instead of stealing a credit card and using it to buy big ticket items, some credit card thieves have become more sophisticated. For example, they can now making numerous, small transactions that are seemingly benign. But if Joe is making 100 $5 margarita transactions at various locations, something is wrong. By analyzing point of sale, geolocation, authorization, and transaction data with Datameer, this financial customer was able to identify fraud patterns in historical data.

  • Precision Forecasting of Customer Patterns and Needs
  • Reveal consumer patterns with focused, real-time reporting
  • Personalize products and offers down to micro-segmentation – 1:1 targeting
  • Create / test micro-campaigns to increase response
  • Optimize multi-channel transactions and communications
  • Use loyalty analysis for channel and customer preference
  • Turn digital interactions into insight
  • Compliance, Rules, and Regulators
  • Financial Risk: Expose areas of financial uncertainty, market risk, credit risk
  • Operational Risk: Improve visibility, reduce losses, and improve business performance
  • Regulatory Compliance: Enforce corporate policies against growing regulatory oversight
  • IT Governance: Maintain IT stability from impact of IT threats and vulnerabilities, cyber or other
  • Strategic Business Planning: Stress-test risk-adjusted performance, build risk-informed strategies to optimize capital. Stay ahead of the competition

Surveillance

Illegal activities can cost your business millions of dollars and unwanted negativity to its public persona. The Actian Analytics Platform enhances situational awareness and provides a highly efficient, automated process that upgrades threat detection to a fully automated, real-time surveillance solution.

Early Warning System

  • Precision Forecasting of Customer Patterns and Needs
  • Reveal consumer patterns with focused, real-time reporting
  • Personalize products and offers down to micro-segmentation – 1:1 targeting
  • Create / test micro-campaigns to increase response
  • Optimize multi-channel transactions and communications
  • Use loyalty analysis for channel and customer preference
  • Turn digital interactions into insight

Understanding why your customers left is knowledge gained too late in the game. Predict and prevent customer churn before it happens and understand which of your customers are value-laden, which are just a burden.



Telecommunıcatıon

Examples of use cases:

  • Big Data & Analytics
  • Business Intelligence
  • Budgeting Planning Forecasting
  • Omni Channel Campaign Management
  • Customer Experience Management
  • Talent Management & Learning Management Solutions

Analyze networks geographically to find inefficiencies

Keeping a complex network running at full capacity requires a lot of data– in real time. With a typical network generating terabytes of usage and performance data, creating a meaningful telecommunications analysis in a reasonable time frame can be nearly impossible.

Evaluate expansion prospects and find hidden opportunities

Finding new customers is a struggle for every business and a crucial part of any telecommunications company’s analysis initiatives. Deploying new network infrastructure to access completely new markets can be enormously expensive. With Tableau, analyzing networks for expansion opportunities, whether existing or new, is as easy as dragging and dropping.


Customer and Operational Analytics for Telecommunications

Telecommunications services providers gain a better understanding of customers, reduce churn and optimize network capacity with big data analytics.


    Transform your business with these Customer Analytics Blueprints:

  • Customer profiles-create a 360 degree view
  • Micro-segmentation-create segments of one
  • Customer lifetime value-find high value customers
  • Next best action-influence customer decisions
  • Campaign optimization-refine campaign performance
  • Churn-prevent customers from leaving

  • NICE Customer Interaction Management solutions help service providers deliver a differentiating customer experience and achieve a competitive advantage by addressing these needs:

  • Reduce churn
  • Increase ARPU
  • Increase operational efficiency
  • Resolve disputes


Retaıl

Brand loyalty can be elusive in today’s consumer-driven mass market where savvy shoppers surf and tweet to find the best deals. Discover how Big Data 2.0 helps you drive profit by delivering the right products to the right customers at the right time.

Examples of use cases:

  • Big Data & Analytics
  • Business Intelligence
  • Budgeting Planning Forecasting
  • Omni Channel Campaign Management
  • Customer Experience Management
  • Talent Management & Learning Management Solutions

Industry trends at your fingertips

Retail is highly volatile business, particularly during economic recessions. This makes tracking industry trends all the more important to both large and small retailers.

Understand your local customers

What do customers at Store really want? It’s likely to be at least slightly different than those heading to Store.

Make inventory decisions with more insight

Inventory is often the retail KPI that determines success. Getting the balance just right – not too much, not too little – is retail nirvana. How do you create this crystal ball? It relies on aggregating the right data and then visualizing it in a way that lets you make informed decisions.

Place products where they sell best

Back of the store – or the front? A store’s layout drives competitive differentiation and sales. So how can you determine the best approach? Use data to turn layout decisions from art to science.

See how fast and easy it is to gain product placement insight

Retail leaders understand that product placement is key. Maximizing selling potential for every square inch of aisle and shelf space is an absolute necessity. Tracking the effectiveness of these placements as products change and demographic tastes shift is equally important in order to retain customer interest.


Market Basket Analysis and Pricing Optimization

Variety

Historical, inventory, pricing, and transaction data

Volume

3000 TB

Velocity

1M+ rows of additional pricing data added daily

Retailers and e-tailers have more data available to them than ever before. From historical transactions, to current inventory, pricing, and more, the value in these datasets increase exponentially when combined. Find out how this leading retailer used Datameer to combine datasets to come up with competitive pricing, determine where to target ads, and more.

In retail, historical inventory, pricing and transaction data are spread across multiple devices and sources. Business users need to pull together this information to understand seasonality of products, come up with competitive pricing, determine which platforms to support so that their online users would have optimal performance, and where to target ads. With Datameer, these business users could do their analysis in 3 days instead of 12 weeks with their traditional tools and heavy IT involvement.

    Know the customer, know the products, conquer the marketplace

  • Predict consumer shopping patterns with increasing precision
  • Personalize products and offers for micro to nano-segments
  • Rapidly create and test micro-campaigns to increase response
  • Make tradeoffs to optimize assortment, price, promotion, and inventory
  • Dynamically set pricing to increase profits
  • Expand demand signaling to include market and other outside influences
  • Optimize multi-channel transactions and communications
  • Take market basket analysis to the store level
  • Combine merchandising optimization with deep customer analytics
  • Operationalize loyalty analysis to inform channel and customer preference
  • Turn digital interactions into in-store insight
  • Optimize store operations and product placements

Useful list:


Insurance

Brand loyalty can be elusive in today’s consumer-driven mass market where savvy shoppers surf and tweet to find the best deals. Discover how Big Data 2.0 helps you drive profit by delivering the right products to the right customers at the right time.

Examples of use cases:

  • Big Data & Analytics
  • Business Intelligence
  • Budgeting Planning Forecasting
  • Dynamic Target & Incentive Planning
  • Omni Channel Campaign Management
  • Customer Experience Management
  • Talent Management & Learning Management Solutions

Investigate claims interactively to see patterns for action

Does a claim submitted by a physician have a different claim paid ratio than those submitted by phone or web? You bet. Is it valuable to dig into these differences to make more informed decisions? Absolutely.

Visualize historic data to estimate cost impact

Using historic data to estimate future premiums isn’t new. But creating an interactive report that facilitates quick insight to forecast these costs is not a common feature in most insurance reporting tools.

Quickly show outliers and suspicious patterns in your data

The data you need to reveal fraudulent activities exists within your organization. However, analyzing it in a meaningful way to detect out-of-pattern behavior in a timely fashion has been next to impossible.

Drill into specific, code-level detail in two clicks

Year-to-year comparisons are a basic, but essential element to insurance analysis. Agents, underwriters and managers alike rely on historical data to gather intelligence for forward-looking decisions.

Improve Customer Retention, Increase Operational Efficiency and Boost Revenues

Consumers have many choices when looking for a company to insure their health, homes, automobiles and other valuables. Price is a key factor in winning new business and customer experience can help keep current policyholders on board. Is it possible for insurance call centers to provide superior customer service and keep costs low? With NICE, it is.

When customers contact the call center, they expect an efficient, knowledgeable response to their questions. It’s also important that your agents help retain customers and offer them additional products at the Decisive Moment™ of the interaction. Equally important,is that the organization monitors for potential fraud and money laundering activity and ensures regulatory requirements are met. NICE enables your insurance call center to successfully address these needs:

  • Improve churn reduction
  • Respond effectively to billing inquiries, rate quotes and claims
  • Mitigate the risk of fraud and regulatory non-compliance
  • Increase customer wallet-share and improve collections

http://www.nice.com/insurance


Pharma

Examples of use cases:

  • Big Data & Analytics
  • Business Intelligence
  • Budgeting Planning Forecasting
  • Dynamic Target & Incentive Planning
  • Talent Management & Learning Management Solutions

Manage high-throughput drug screening, hit selection and quality control with real-time pharmaceutical analytics

As high-throughput screening becomes increasingly crucial to efficient drug discovery, your team needs a tool to see and understand the results of an assay. Tableau can visualize assay output and result distribution in real-time, allowing your team to spend more time asking questions about clinical effectiveness and less time trying to make sense of thousands of rows of data. By visualizing the data, your team can identify and explore HTS hits immediately.

Perform what-if analyses on real-time data at lightning speed

As new pharma markets emerge and expand, it’s crucial that you make informed decisions about where to invest your capital and resources. Tableau allows all your business users to do on-the-fly analyses of pharma market growth, leveraging the most current sales and market data, and make business decisions quickly based on how well projections compare to goals.

Combine multiple data sources to optimize physician marketing strategies

The new pharmaceutical organization has marketing at its core, and there’s a heightened strategic need to understand the entire commercial funnel. Physician marketing strategies are a crucial factor, and, with so many disparate sources of data, it can be difficult to see the whole picture and understand where you’re over- and under-invested.

Understand what’s happening in existing and emerging markets.

The world of pharma keeps getting bigger. There are many ways to diversify your portfolio of R&D, sales and marketing efforts. You need to know which products and services your market wants, and when and where they want them.


Useful list:


Looking for first class Data Champion? Contact us

About Ereteam

Ereteam is a leading IT and consulting services organisation in Turkey, providing Big Data Analytics and Business Optimisation solutions in banking, insurance, retail, telco, pharma and public sectors.

Contact Us
  • Address:
    Orhantepe Mh.
    Kırgülü Sk. No:5,
    Dragos, Kartal, İstanbul
    34865
  • Phone: +90 216 518 44 40
  • Email: info@ereteam.com
Follow Us

We promise not to send you spam.

© 2017. «Ereteam Website All Rights Reserved».